CN113313552A - Recommendation processing method and device - Google Patents

Recommendation processing method and device Download PDF

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Publication number
CN113313552A
CN113313552A CN202110615863.XA CN202110615863A CN113313552A CN 113313552 A CN113313552 A CN 113313552A CN 202110615863 A CN202110615863 A CN 202110615863A CN 113313552 A CN113313552 A CN 113313552A
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service
recommendation
user
route
user terminal
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CN202110615863.XA
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CN113313552B (en
Inventor
陈欢乐
蒋文钦
杨文玉
王炳浩
张淑雅
关文政
陈远
刘文竹
季博伦
吴畏
骆也
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Alipay Hangzhou Information Technology Co Ltd
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Alipay Hangzhou Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces

Abstract

The embodiment of the specification provides a recommendation processing method and a recommendation processing device, wherein the recommendation processing method comprises the following steps: determining an object set in a recommended position range according to an access position submitted by a user terminal; determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set; determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route; and sending the service recommended route and the mapping processing result to the user terminal.

Description

Recommendation processing method and device
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a recommendation processing method and apparatus.
Background
With the continuous development of the internet and information technology, the amount and updating speed of various information are rapidly increasing. Interactive applications on the internet are increasing. For example, when a user needs to obtain commodity information with high sales popularity, because the quantity of the commodity information on a webpage is huge, the user needs to click a commodity sales volume sorting button on the webpage, so that the commodity information is sequentially arranged from high to low according to the commodity sales volume, in order to improve the operation experience of the user, the user can be timely prompted, in order to prompt the user quickly, the strategy information of the interactive application needs to be displayed, and therefore how to display the strategy information becomes a key for prompting.
Disclosure of Invention
One or more embodiments of the present specification provide a recommendation processing method. The recommendation processing method is applied to a server and comprises the following steps: and determining the object set in the recommended position range according to the access position submitted by the user terminal. And determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set. And determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route. And sending the service recommended route and the mapping processing result to the user terminal.
One or more embodiments of the present specification provide a recommendation processing method, applied to a user terminal, including: and receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result. And sending a rights and interests getting instruction to the server under the condition that the user is detected to trigger the rights and interests getting control, so that the server performs rights and interests issuing processing of the service recommended route. And updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
One or more embodiments of the present specification provide a recommendation processing apparatus, operating on a server, including: and the set determining module is configured to determine the object set in the recommended position range according to the access position submitted by the user terminal. A template determination module configured to determine a service recommendation template based on the access time, the user tag, and the service attributes of each candidate object in the set of objects. And the mapping processing module is configured to determine a target object according to the user tag, aggregate the target object to the service recommendation template to obtain a service recommendation route, and perform map mapping processing on the service recommendation route. A route transmission module configured to transmit the service recommended route and a mapping processing result to the user terminal.
One or more embodiments of the present specification provide another recommendation processing apparatus, which is run on a user terminal, and includes: the route receiving module is configured to receive the service recommended route sent by the server and a mapping processing result of the service recommended route after the mapping processing is carried out on the service recommended route, and display the service recommended route and the mapping processing result. And the right and interest obtaining module is configured to send a right and interest obtaining instruction to the server to enable the server to perform right and interest issuing processing of the service recommended route under the condition that the right and interest obtaining control is detected to be triggered by the user. And the state updating module is configured to update the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
One or more embodiments of the present specification provide a recommendation processing device, operating on a server, including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and determining the object set in the recommended position range according to the access position submitted by the user terminal. And determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set. And determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route. And sending the service recommended route and the mapping processing result to the user terminal.
One or more embodiments of the present specification provide another recommendation processing device, operating in a user terminal, including: a processor; and a memory configured to store computer-executable instructions that, when executed, cause the processor to: and receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result. And sending a rights and interests getting instruction to the server under the condition that the user is detected to trigger the rights and interests getting control, so that the server performs rights and interests issuing processing of the service recommended route. And updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
One or more embodiments of the present specification provide a storage medium storing computer-executable instructions that, when executed, implement the following: and determining the object set in the recommended position range according to the access position submitted by the user terminal. And determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set. And determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route. And sending the service recommended route and the mapping processing result to the user terminal.
One or more embodiments of the present specification provide another storage medium storing computer-executable instructions that, when executed, implement the following: and receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result. And sending a rights and interests getting instruction to the server under the condition that the user is detected to trigger the rights and interests getting control, so that the server performs rights and interests issuing processing of the service recommended route. And updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
Drawings
In order to more clearly illustrate one or more embodiments or technical solutions in the prior art in the present specification, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise;
FIG. 1 is a flow diagram of a recommendation processing method provided in one or more embodiments of the present disclosure;
FIG. 2 is a schematic diagram of a merchant list page provided in one or more embodiments of the disclosure;
FIG. 3 is a schematic diagram of a merchant details page provided in one or more embodiments of the present description;
FIG. 4 is a schematic illustration of a service recommendation route presentation page provided in one or more embodiments of the disclosure;
FIG. 5 is a schematic illustration of a candidate merchant demonstration page provided by one or more embodiments of the present description;
FIG. 6 is a schematic diagram of a user home page presentation page provided in one or more embodiments of the present disclosure;
FIG. 7 is a schematic diagram of a route rating edit page provided in one or more embodiments of the present disclosure;
fig. 8 is a schematic diagram of a friend relationship display page according to one or more embodiments of the present specification;
FIG. 9 is a schematic illustration of a merchant home page display page provided in one or more embodiments of the disclosure;
FIG. 10 is a flowchart of a recommendation processing method applied to a service route recommendation scenario according to one or more embodiments of the present disclosure;
FIG. 11 is a flow diagram of another recommendation processing method process provided in one or more embodiments of the specification;
FIG. 12 is a flowchart of a recommendation processing method applied to a target merchant handover scenario, according to one or more embodiments of the present disclosure;
FIG. 13 is a schematic diagram of a recommendation processing device according to one or more embodiments of the present disclosure;
FIG. 14 is a schematic diagram of another recommendation processing device provided in one or more embodiments herein;
fig. 15 is a schematic structural diagram of a recommendation processing apparatus according to one or more embodiments of the present disclosure;
fig. 16 is a schematic structural diagram of another recommendation processing device according to one or more embodiments of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
An embodiment of a recommendation processing method provided in this specification:
referring to fig. 1, which shows a processing flow diagram of a recommendation processing method provided in this embodiment, referring to fig. 2, which shows a schematic diagram of a merchant list page provided in this embodiment, referring to fig. 3, which shows a schematic diagram of a merchant details page provided in this embodiment, referring to fig. 4, which shows a schematic diagram of a service recommendation route display page provided in this embodiment, referring to fig. 5, which shows a schematic diagram of a candidate merchant display page provided in this embodiment, referring to fig. 6, which shows a schematic diagram of a user homepage provided in this embodiment, referring to fig. 7, which shows a schematic diagram of a route evaluation edit page provided in this embodiment, referring to fig. 8, which shows a schematic diagram of a friend relationship display page provided in this embodiment, referring to fig. 9, which shows a schematic diagram of a merchant homepage provided in this embodiment, referring to fig. 10, it shows a flowchart of a recommendation processing method applied to a service route recommendation scenario according to the present embodiment.
An execution main body of the recommendation processing method provided in this embodiment is a server, and an execution main body of an embodiment of the recommendation processing method is a user terminal, and the recommendation processing method applied to the server provided in this embodiment is mutually matched with the recommendation processing method applied to the user terminal provided in the following method embodiment in an execution process, so that corresponding contents of this embodiment with respect to the following method embodiment are read.
Referring to fig. 1, the recommendation processing method provided in this embodiment is applied to a server, and specifically includes steps S102 to S108.
And step S102, determining an object set in the recommended position range according to the access position submitted by the user terminal.
The recommendation processing method provided in this embodiment recommends a matching service recommendation route within a certain distance to a user according to preferences of the user, and recommends a route to the user for displaying the service recommendation route in a map and displaying details of the route, specifically, first, a merchant whose distance from the user is less than a threshold is determined according to location information of the user, then a service recommendation template for the user is determined according to categories of merchants whose distance from the user is less than the threshold, access time of the user, and preferences of the user, category conditions are carried in the service recommendation template, then merchants that the user likes or possibly likes are screened out from merchants whose distance from the user is less than the threshold according to the preferences of the user, and the screened merchants are filled into the service recommendation template according to categories to obtain a service recommendation route for the user, and the service recommendation route is displayed in a recommendation "aggression" form, and finally, mapping the recommended strategy on a map, displaying the mapping result and the recommended strategy to the user, guiding the user to trade according to the recommended strategy, and improving the user experience and the recommendation effect of merchants.
In this embodiment, in order to improve user experience and enable a user to enjoy services nearby, in the process of recommending services to the user, merchants whose distance from the user is smaller than a certain threshold, that is, merchants within a recommended position range, are preferentially recommended to the user. For example, a merchant with a distance of less than 1 kilometer from the user is recommended to the user, and 1 kilometer is the recommended position range. The objects of the embodiment include individual service merchants (such as restaurants and movie cities) whose distance from the user is less than a certain threshold, a combined operator (such as a consumption square) with a trade circle as a unit, a public life service operator (such as a park), and the like.
In specific implementation, a user views service recommendation by accessing a target program, when the user accesses a target program homepage, a map rendering mode is used for displaying a recommendation object (merchant) near the user positioning, each merchant displays a self-defined merchant identifier and also displays merchant recommendation information, in order to improve the service experience of the user, in the process of service recommendation for the user, a merchant set in a recommendation position range is determined at first, in the embodiment, an access position is defaulted to be a positioning position of a user terminal, and if the user searches for a designated merchant through the user terminal, the merchant position is determined to be the access position. In an optional implementation manner provided by this embodiment, the object set is determined as follows:
calling a positioning sensor of the user terminal to read the access position according to an access request which is submitted by the user terminal and aims at a target application;
and mapping the access position on a map, and determining a service with the distance from the access position smaller than a distance threshold value according to the length scale of the map to construct the object set.
If the user terminal collects and submits the object keyword entered by the user to the server, in an optional implementation manner provided by this embodiment, the object set is determined in the following manner:
according to the object keywords submitted by the user terminal, inquiring an optional object set matched with the object keywords;
calculating the position distance between each selectable object in the selectable object set and the user terminal, and sending the position distance between the selectable object set and the user terminal;
if a target selectable object selected from the selectable object list submitted by the user terminal is detected, the target selectable object is mapped on a map based on the object position of the target selectable object, and an object with the distance from the object position smaller than a distance threshold value is determined according to the length scale of the map to obtain the object set.
In addition, if the user selects the merchant on the map page, the merchant set of the merchant object is determined according to the merchant position of the selected merchant and the corresponding length of the recommended position range on the map.
Specifically, if a user terminal collects and submits an object keyword input by a user to a server, the server queries a selectable object set matched with the object keyword, calculates the position distance between each selectable object in the selectable object set and the user terminal, sends the selectable object set and the position distance to the user terminal, sorts the selectable objects in the selectable object set according to the corresponding position distance after the user terminal obtains the selectable object set and the position distance sent by the server, obtains a selectable object list, displays the selectable object list, submits a target selectable object to the server when detecting that the target selectable object in the selectable object list is triggered, and further determines the corresponding object set by taking the position of the target selectable object as an access position. It should be noted that, in the process of sorting the selectable objects, the user terminal may also be arranged according to other factors, for example, sorting according to the praise times of the user, the more praise times, the earlier the sequence, or sorting according to the friend access number, the more friend accesses, the earlier the sequence. In addition, the rank ordering may also be performed according to one or more influencing factors, and this embodiment is not limited herein.
For example, a user submits a keyword as a movie city through a user terminal, the user terminal submits the keyword movie city to a server, the server inquires xx movie cities which are 1.1 kilometers away from the positioning position of the user terminal and xx movie cities which are 2.3 kilometers away from the positioning position of the user terminal according to the keyword, reads that the number of prawns of xx movie cities users which are 1.1 kilometers away is 1200+, 12 friends of the user access the movie city, and the recommendation information of the movie city is mass resources! ' leisure entertainment ' reads that the number of praise of xx movie city users with the distance of 2.3 kilometers is 1200+, 8 friends of the users visit the movie city, and the recommendation information of the movie city is ' mass resources! 'leisure entertainment' sends the information of xx shadow city with the distance of 1.1 kilometer and the shadow city information of xx shadow city with the distance of 2.3 kilometers to a user terminal, the user terminal sorts the two shadow cities according to the positions of the user and renders a page shown in figure 2 according to the sorting result for display, and if the user is detected to select the xx shadow city with the distance of 1.1 kilometer, a merchant set with the distance of less than 3 kilometers from the shadow city is determined according to the position information of the shadow city.
It should be noted that the user terminal displays the selectable merchant list. In order to improve the perception degree of the user, the keywords of the selectable merchants are highlighted, and the merchant information of each merchant comprises a merchant identifier, a merchant name, a friend access number, a total sum of historical attack and mitigation likeness degrees, a path distance, merchant recommendation information and/or a historical attack and mitigation label, wherein the merchant recommendation information and the display content are determined according to the preference of the user, the historical attack and mitigation label can be generated according to a sorting algorithm, and the merchant information is not limited in the embodiment.
After detecting that the user selects the target selectable merchant, the user terminal renders a merchant detail page and displays the merchant detail page, wherein the merchant detail page is composed of merchant information, real-time information, evaluation and/or historical strategy labels. The basic information of the merchant is displayed by the merchant information, is obtained by the merchant through self-definition and comprises a merchant identifier, a merchant name, merchant categories (food, beauty, fitness, parks and public services), per-capita consumption amount, carousel photos and/or merchant characteristic labels; the real-time information comprises merchant announcement information and merchant discount information, is configured by a merchant, and also comprises the times of the bought of the boutique, the times of visiting or card punching of a friend and/or the path distance; the evaluation comprises displaying merchant evaluations according to a recommendation ranking algorithm, wherein the merchant evaluations comprise personal avatars, nicknames, evaluation times, evaluation text information (expandable details) and/or picture lists. The historical strategy label recommends the strategy containing the merchant according to the preference of the user, leads the merchant to jump to a product home page for viewing, positions and switches to the merchant after jumping, and recommends the strategies nearby the merchant.
Following the above example, the user selects xx movie cities at a distance of 1.1 kilometers, showing the merchant details page as shown in FIG. 3.
And step S104, determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set.
The service attribute includes the service category of the candidate object, and may also include other attributes of the candidate object. The service recommendation template comprises a category set of service recommendation objects, and is a formatting template carrying service categories to perform service recommendation according to the service categories. The user label is a label representing the service preference of the user, for example, if the user likes to eat a hot pot, the user label is determined to be a hot pot owner, so that when a restaurant of a hot pot class is recommended to the user, the restaurant of the hot pot class is preferentially recommended; for another example, if the user likes fitness, the tag is determined to be a fitness fan, and when the user recommends a business of leisure and entertainment, the business of gym is preferentially recommended to the user. It should be noted that the user tag may be determined by user definition, or may be determined according to the historical browsing strategy, the historical praise strategy, and/or the historical travel strategy of the user.
In specific implementation, in the process of determining the service recommendation template according to the access time of the user, the user tag and the service attribute of each candidate object in the object set, the access time is used as an influence factor, the service category which is possibly consumed by the user at the time is determined from the time dimension, and correspondingly, the service recommendation template which recommends the time to the user at least comprises the template of the service category which is possibly consumed by the user. For example, if the user accesses the target application at 11 am, the purpose of the user is most likely to be to have a meal, and at least one service recommendation template in the determined at least one service recommendation template should contain a meal class; for another example, if the time when the user accesses the target application is two noon on a weekend, it is determined that the user is most likely to want to perform leisure entertainment, a service recommendation template at least including a class of leisure entertainment is determined, and if the user is likely to have a meal at two noon, the service recommendation template including the class of meal is also determined as the service recommendation template for the user.
In the process of determining the service recommendation template, the user tag is used as an influence factor, and at least a service category which should be included in the service recommendation template is determined from the service category dimension of the object included in the service recommendation template, for example, if the user tag includes a fitness enthusiast and a hot-pot lander, at least one determined service recommendation template includes at least a meal category and a leisure entertainment category.
The service attribute of each candidate object is used as an influence factor, and at least a service category which should be included in the service recommendation template is also determined from the service category dimension of the object included in the service recommendation template, for example, the merchant category in the merchant set includes a meal category, a dessert category, and a movie category, and then at least one service recommendation template in the determined at least one service recommendation template should include a meal category, a dessert category, and/or a movie category.
In specific implementation, the service recommendation template is screened from the service recommendation template set according to the access time of the access request submitted by the user, the user tag and the service category of each candidate object in the object set. Specifically, a service recommendation template containing the service class corresponding to the user tag and the service class of each candidate object corresponding to the access time is screened out.
For example, an access request for a target application submitted by a user terminal is obtained, a positioning sensor of the user terminal is called according to the access request to read the position of the terminal, a terminal position point is inquired in a map according to the position of the terminal, the terminal position point is used as the center of a circle, the map length corresponding to 3 kilometers is used as the radius to draw a circle, and merchants in the circle are read to form a merchant set. And reading at least one service recommendation template according to the user preference corresponding to the user identifier of the user terminal, the submission time of the access request and the service category of each merchant in the merchant set.
In addition, in order to improve the effectiveness of the service recommendation template, effective objects can be screened in the object set according to the user tags, and then the service recommendation template can be determined based on the access time and the service categories of the effective objects.
Step S106, determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route.
As described above, the service recommendation template including the category set of the service recommendation object refers to a formatting template carrying service categories for service recommendation according to the service categories. The service recommended route is displayed in a service 'strategy' mode and comprises a set which is recommended to a user and contains merchant and route navigation information; such as a set of merchants across service categories within 3 kilometers around the visiting location. Specifically, from a data perspective, the target merchants determined according to the user tags are filled into a service recommendation template determined based on the access time, the user tags, service categories in the merchant set and the candidate merchants, that is, a set containing multiple cross-category merchants and route navigation information recommended to the user is obtained. For example, one of the determined service recommendation templates includes a meal class, a dessert class and a movie class, a first target merchant of the meal class, a second target merchant of the dessert class and a third target merchant of the movie class are determined in the merchant set according to the user tag, and the first target merchant, the second target merchant and the third target merchant are filled into the service recommendation template according to the sequence in the service recommendation template, so that a service recommendation route composed of the first target merchant, the second target merchant and the third target merchant is obtained.
The map mapping processing means that the service recommendation route is mapped to a map, so that a user can view the position of a merchant and the service recommendation path more intuitively. Specifically, a mapping relation between the service recommendation route and a map is established, after the mapping relation is established, a target merchant contained in the service recommendation route is mapped to the map, and meanwhile, path information of the service recommendation route is mapped to the service recommendation route; in the displaying process, displaying the merchant identification of the target merchant in a map page displaying a map, and displaying the path information in a service recommendation layer displaying a service recommendation route.
In specific implementation, in the process of determining a service recommendation route and performing map mapping processing, a target merchant needs to be determined according to a user tag, the target merchants are aggregated into a service recommendation template to obtain the service recommendation route, and finally map mapping processing is performed according to the service recommendation route.
(1) And determining a target object according to the user tag, and aggregating the target object to the service recommendation template to obtain a service recommendation route.
In specific implementation, after the service recommendation template is determined, the candidate objects in the object set are filled into the service recommendation template according to the user tags to obtain a service recommendation route, and in order to improve user experience, in the process of filling the candidate objects, specific filling merchants need to be determined according to the user tags, in an optional implementation manner provided in this embodiment, the following manner is adopted for aggregation processing:
ranking the candidate services of the service attributes in the object set based on the user tags to obtain a service ranking positively correlated with the user preference;
reading the target object based on the template service attribute contained in the service recommendation template and the service sequencing;
and filling the target object into the service recommendation template according to the template service attribute and the service attribute of the target object to obtain the service recommendation route.
Specifically, the candidate services of different service categories in the object set are sorted according to the user tags, wherein the higher the matching degree with the user tags is, the earlier the sorting is, then the target objects are read according to the service sorting according to the template service attributes contained in the service recommendation template, and then the target objects are filled into the service recommendation template according to the template service attributes. It should be noted that the number of the target objects in the service recommendation route is determined according to the service categories configured by the service recommendation template, and the service categories are in one-to-one correspondence with the target objects.
For example, candidate merchants of each service category in the merchant set are ranked according to user preferences, one service recommendation template of the service recommendation templates contains meals, sweets and movies, a first target merchant of the meals, a second target merchant of the sweets and a third target merchant of the movies are read from the ranked merchants, and the first target merchant, the second target merchant and the third target merchant are filled into the service recommendation templates according to the recommendation sequence of the service categories in the service recommendation templates to obtain a service recommendation route.
(2) And performing map mapping processing of the service recommended route.
After obtaining the service recommended route, in order to enable a user to feel a merchant position and a service recommended path of a target merchant included in the service recommended route more intuitively, map mapping processing is performed on the service recommended route, in an optional implementation manner provided in this embodiment, in a map mapping processing process, the following steps are performed:
searching object points mapped by each target object in the map based on the object position of each target object;
determining a service recommendation path formed by object points mapped by each target object in the map according to the service sequence relation of each target object determined by the service recommendation template;
calculating the path length of each service recommendation sub-path in the service recommendation paths based on the service sequence relation, and/or predicting the travel time of each service recommendation sub-path;
mapping the service recommendation path, the service recommendation sub-paths, the path length and/or the travel time to the service recommendation route.
For example, the service recommendation route includes a first target merchant, a second target merchant and a third target merchant, corresponding merchant points are searched in a map according to merchant positions of the first target merchant, the second target merchant and the third target merchant, then service recommendation paths from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant are formed according to an order relationship among the first target merchant, the second target merchant and the third target merchant, wherein the service recommendation paths from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant are respectively service recommendation sub-paths, and the path length of each sub-path from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant is calculated, and predicting the travel time of each sub-path, and associating the service recommendation path, the service recommendation sub-path, and the path length and travel time of each sub-path with a service recommendation route comprising the first target merchant, the second target merchant and the third target merchant.
In practical applications, in order to meet diversified requirements of users, when a plurality of service recommendation routes are determined, in order to improve the perception degree of the users on different service recommendation routes and display the plurality of service recommendation routes to the users, in an optional implementation manner provided by this embodiment, the recommendation sequence of each service recommendation route in the service recommendation routes and/or the display sequence of each service recommendation route by the user terminal is positively correlated with the number of user marks of each service recommendation route. Specifically, the recommendation sequence of the service recommendation route is determined according to the number of praise users of each service recommendation template.
For example, if the praise user of the service recommendation template including the meal class, the dessert class and the movie class is 2.2k, the praise user of the service recommendation template including the meal class, the movie class is 1.9k, and the praise user of the service recommendation template including the meal class and the scenic spot class is 1.5k, the service recommendation template including the meal class, the dessert class and the movie class is preferentially recommended, and if it is detected that the user submits a template switching request, the service recommendation template including the meal class and the movie class is recommended.
In specific implementation, in order to improve the participation degree of the user and guide the user to perform coupon consumption by issuing a right to the user, in an optional implementation manner provided in this embodiment, after obtaining the service recommended route aggregated by the target object, the route right of the service recommended route is determined in the following manner:
inquiring whether the target object is configured with service rights and interests;
if yes, calculating the route rights of the service recommended route based on the service rights.
Specifically, the user terminal sends a rights and interests obtaining instruction to the server when detecting that the user triggers the rights and interests obtaining control, so that the server performs rights and interests issuing processing on a service recommended route, and if detecting that the user terminal submits a obtaining request aiming at the route rights and interests, the server establishes an association relation between a user identifier and the route rights and sends the route rights and interests to the user terminal. It should be noted that the reward can also be sent to the user by sending the carbon-saving identifier to the user after the user goes out.
For example, the service recommendation route includes a first target merchant, a second target merchant and a third target merchant, merchant information of the first target merchant, the second target merchant and the third target merchant is inquired, the first target merchant provides a "full 200 minus 100" activity, the third target merchant provides a "full 100 minus 20" activity, and a 120-element benefit that the user can enjoy for the recommendation strategy is calculated and obtained according to the activities provided by the first target merchant and the third target merchant.
Step S108, the service recommended route and the mapping processing result are sent to the user terminal.
In specific implementation, after the service recommended route and the mapping processing result are sent to the user terminal, the user terminal displays the service recommended route and the mapping processing result, wherein the user terminal displays the service recommended route and the mapping processing result in the following way: firstly, rendering a target object position point contained in the service recommendation route in a map page, specifically marking the target object position point, and rendering a service recommendation layer based on the service recommendation route; the service recommendation layer is positioned on the map page; then rendering a service recommendation path having a service mapping relation with the service recommendation path in the map page, and rendering path recommendation information of the service recommendation path in the service recommendation layer; the path recommendation information includes: each service recommends a sub-path, a path length and/or a travel time; and finally, displaying the rendered map page, and displaying the rendered service recommendation layer on the rendered map page.
Specifically, in the process of rendering and displaying the map page, the user terminal highlights the target merchants and the service recommendation paths contained in the service recommendation layer on the map page, and also displays a certain number of merchants of cross-service categories near the user by default. Displaying merchant recommendation information at a position corresponding to a target merchant in a map page, wherein the merchant recommendation information can be recommended according to the preference of a user, such as price sensitivity, and preferential promotion activities are displayed; if people like to taste the novel food, more new products of merchants are displayed; children's amusement places are recommended for children's users; with the pet user, more recommended pets can enter the place.
In the process of rendering and displaying the service recommendation layers by the user terminal, each service recommendation layer displays one service recommendation route, and the service recommendation layers can be switched and viewed by sliding left and right or in other modes. Specifically, the service recommendation layer renders or is configured with one or more of the following items of information: the system comprises a recommendation name, recommendation degree, keywords, a starting control, a rights and interests obtaining control, a sharing control, merchant information and route information. The recommendation name is generated according to the access time of the user and/or the user label; the recommendation degree comprises friend card punching times and/or praise times; the keywords comprise characteristic labels of service recommended routes, such as suitability for 2-4 people, low carbon, environmental protection, entertainment, portability of pets and the like; the route information comprises travel modes among merchants, recommended walking, subway, riding and the like according to user preferences, travel information, calorie prompting, low-carbon index prompting and travel time prompting according to the user preferences. The user can jump to the map and navigation software by one key. The merchant information comprises a merchant identification map and is generated by the merchant in a self-defining way. The number of friends visited by the merchant in the last month; the merchant information introduction is to show the name of the merchant, preferential activities, business information, new product services and the like to the user according to the preference of the user; the online service entrance of the merchant, such as online booking, online ticket buying, coupon picking, public service points (public service in the skip terminal) and the like, skips to a merchant detail page after clicking a merchant information card.
In a specific implementation, a user may access any details of the merchant in the service recommendation layer to check details of the merchant, and in an optional implementation manner provided by this embodiment, the server cooperates with the user terminal to display details of the merchant in the following manner:
according to the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route, obtaining the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route; reading the service information of any target object and a historical service recommended route containing any target object;
and sending the service information and the historical service recommended route to the user terminal.
In an optional implementation manner provided by this embodiment, a user performs online booking through an online service entrance of a merchant, such as an online booking seat and an online ticket booking control, specifically, in the process of online booking of the user, a service recommendation layer of the service recommendation route is configured with a service booking control of each target object; and if the service reservation control of any target object is triggered, acquiring data required for reservation of the any target object, performing service reservation processing of the any target object based on the data required for reservation, acquiring a reservation processing result of the service reservation processing, and sending the reservation processing result to the user terminal.
If the user selects the service recommendation route, in order to improve the perception degree of the user on the current service node state, in an optional implementation manner provided in this embodiment, the service node state is updated in the following manner:
calling a positioning sensor of the user terminal to read the terminal position of the user terminal according to a service triggering request which is submitted by the user terminal and aims at the service recommended route;
and inquiring a corresponding terminal position point in a map based on the terminal position, updating the user position representation point in the service recommendation path, and updating the service node state of the service recommendation route according to the service mapping relation.
Specifically, the service mapping relationship refers to a mapping relationship between a path in a map and a service recommended route. In the process of updating the service node state, the server may update the service node state based on the terminal position of the user terminal, and then send the service node state and the terminal position point of the terminal position mapped on the map to the user terminal, so that the user terminal displays the service node state, or the user terminal displays the terminal position point on the map page according to the terminal position, and determines and displays the service node state according to the relationship between the terminal position point and the service recommendation path.
As shown in fig. 4, the user may make a "xxxxxx strategy" trip through the trigger control 401, and may make an online booking of the first target merchant through the trigger control 402; the coupon of "full 200 minus 100" of the first target merchant and the coupon of "full 100 minus 20" provided by the third target merchant can be received by one key of the trigger control 403; the first target merchant may also be handed off through the trigger control 404.
In practical application, due to the fact that the demands of users are diverse, in order to improve the trust degree of the users to the target degree, the merchants are switched according to user instructions so as to achieve diversified demands of the users, the users can select to replace merchants according to any service type in the service recommendation routes in the service recommendation layer, when the merchants are replaced, shop identifications of nearby merchants of the same type are highlighted by the user terminals, and after the replaced merchants are selected, merchants and service recommendation paths contained in the updated service recommendation routes are highlighted on a map page. In an optional implementation manner provided by this embodiment, the server performs merchant switching by:
if an object switching request of the user terminal for any target object is detected, determining a service class to which the target object belongs;
screening the candidate objects of the service category in the object set;
issuing the service category and the candidate object to the user terminal so as to specifically mark the candidate object on a map page, and displaying a category identifier of the service category on a service recommendation layer positioned on the map page;
after a user terminal displays a map page with a specific mark and a service recommendation layer with a category identifier for a user, if a target candidate object in candidate objects is detected to be triggered by the user, submitting the target candidate object to a server, and executing the following operations by the server:
updating a target object under the service category to which the target candidate object belongs in the service recommendation route according to the target candidate object selected from the candidate objects submitted by the user terminal;
and carrying out map mapping processing on the updated service recommended route, and issuing the updated service recommended route and a mapping processing result to the user terminal.
For example, the user triggers the control 404 in fig. 4, the user terminal submits a handover request to the server for the first target merchant, the server reads, according to the merchant category of the first target merchant, a candidate merchant belonging to the same category as the merchant category of the first target merchant from the merchant set determined according to the access position, and sends the candidate merchant to the user terminal, as shown in fig. 5, the user terminal performs specific marking on the candidate merchant on a map page according to the location information of the candidate merchant, and displays the service category on a service recommendation layer located above the map page. When detecting that the user selects the target candidate merchant through the page shown in fig. 5, the user terminal submits the target candidate merchant to the server, so that the server updates the first target merchant in fig. 4 to the target candidate merchant, performs map mapping processing on a service recommendation route formed by the target candidate merchant, the second target merchant and the third target merchant, and sends the updated service recommendation route and the mapping processing result thereof to the user terminal.
Similarly, the user terminal may complete a switching operation on any target object, and specifically, if the user terminal detects the switching operation on any target object by the user, the user terminal reads a service category of any target object, reads a candidate object of the service category from an object set sent by the server, performs specific marking on a candidate position point corresponding to a candidate position on a map page, and displays a category identifier of the service category in a service recommendation layer located above the map page. After displaying the map page and the service recommendation layer, if the triggering operation of the user on the target candidate position point on the map page is detected, updating the target candidate object selected by the user, and displaying the service recommendation layer rendered according to the updated service recommendation route and the mapped map page.
In the process of accessing the target program, the user may access the user homepage through a homepage access control configured on the display page of the user terminal, and in an optional implementation manner provided in this embodiment, the user homepage is displayed in the following manner:
inquiring a historical service recommended route of a user identification mark carried in a homepage access request according to the user homepage access request submitted by the user terminal;
and sending the historical service recommended route to the user terminal so that the user terminal displays a historical service recommended route list determined according to the marking time.
Specifically, the user terminal detects that a home page access control configured by the display page is triggered, sends a user home page access request to the server, the server inquires user information corresponding to a user identifier carried in the user home page access request and sends the user information to the user terminal, and the user terminal renders a home page display page based on the user information and displays the home page.
For example, the user terminal detects that the user triggers a home page access control configured by a display page, sends a home page access request to the server, the server queries user information of the user according to a user identifier carried in the home page access request, the user information includes "personal information", "today's strategy" and "my footprint", sends the queried user information to the user terminal, and the user terminal renders the home page display page shown in fig. 6 according to the user information and displays the home page display page. The 'personal information' inquired by the server comprises a personal head portrait, a personal nickname, a level (formed by the number of times of strategy participation, the evaluation preference of release and the evaluation number of release), a medal wall (a medal acquired by participating in specific strategy), and a hobby label (which is empty by default, is intelligently generated after strategy selection according to the user, and also allows the user to edit and modify); the default of the current strategy is null, if a user selects one strategy, the structure of a strategy mark, a strategy name and a strategy feature label is displayed, when the user terminal displays the current strategy, an evaluation control for the strategy evaluation is provided, after the evaluation control 601 is clicked, the user terminal enters a strategy evaluation editing page shown in fig. 7, and can submit the strategy preference evaluation, label setting, evaluation text and evaluation pictures; "My footprint" contains the user's historical listing information and corresponding ratings for participating merchants that have visited and visited. In addition, a friend relationship can also be displayed, as shown in fig. 8, a friend having the highest frequency of recent common trips is displayed in the friend relationship, including a friend head portrait, a nickname, and a favorite tag.
It should be noted that, if the user is registered as a merchant identity, the merchant homepage can be accessed through the user terminal, specifically, the user terminal detects an access operation of the user on the target application, submits an access request to the server, and the server inquires whether a user identifier carried in the access request is associated with the merchant, and if so, sends a prompt to the user terminal so that the user terminal configures a merchant homepage access control in the display page; if the user terminal detects that the user triggers the merchant homepage access control, a merchant information query request is submitted to the server, the server queries merchant information according to the merchant identification in the merchant information query request and sends the merchant information to the user terminal, and the user terminal renders a display page according to the merchant information and displays the display page.
As shown in fig. 9, in the process of rendering the display page of the merchant homepage based on the merchant information, the user terminal configures five modules in the display page, including a basic information module, a data overview module, an activity announcement module, a commodity management module, and an activity configuration module; wherein the basic information module renders store identification, store level, store name and/or characteristic label management. The shop identification can be selected from system recommendations and also can be uploaded by merchants; the characteristic label management can automatically generate or manually add a characteristic label; the store registration is determined based on the evaluation of the historical user and the transaction situation. The data overview module renders merchant operation information data display, such as the visit amount in the last 30 days. The activity bulletin module renders activity bulletin and operation information newly added or modified by merchants, and the content of the specific activity bulletin is displayed in the merchant recommendation information according to recommendation rules. The commodity management module renders service and commodity information uploaded by a merchant to a shop; including pictures, names, profiles, etc., such as novels, feature dishes, etc. The merchant in the activity configuration module can participate in platform operation activities such as full-field general coupon activity registration in a one-key mode.
The following further describes the recommendation processing method provided in this embodiment by taking an application of the recommendation processing method provided in this embodiment to a service route as an example, and referring to fig. 10, the recommendation processing method applied to the service route specifically includes steps S1002 to S1016.
Step S1002, according to the access request submitted by the user terminal, calling a positioning sensor of the user terminal to read the access position.
Step S1004, an initial merchant set whose distance from the visiting location is less than a threshold is determined based on the visiting location.
Step S1006, screening the initial candidate merchants in the initial merchant set according to the user tags, and obtaining a merchant set matched with the user tags.
Step S1008, determining a service recommendation template based on the access time, the user label and the service category of each candidate merchant in the merchant set.
Step S1010, sorting the candidate merchants of each service category in the merchant set according to the user tags, and determining the target merchants according to the sorting result and the template service categories contained in the service recommendation template.
Step S1012, based on the service category of the target merchant and the template service category, filling the target object into the service recommendation template, and obtaining a service recommendation route.
Step S1014, mapping the target merchants contained in the service recommendation route as merchant position points on the map, and mapping the service recommendation path in the map according to the service sequence and the merchant position points of each target merchant in the service recommendation route.
Step S1016, the service recommendation route and the merchant location point mapped on the map and the service recommendation route are sent to the user terminal.
After that, if a search request of the user for the merchant keywords is detected, inquiring an optional merchant set matched with the merchant keywords, and sending the optional merchant set to the user terminal to display the user terminal; if the fact that the user terminal submits the target selectable merchant is detected, determining a merchant set of which the distance between the merchant position and the merchant position is smaller than a threshold value based on the merchant position of the target selectable merchant, and then determining a service recommendation template at least containing the merchant category of the target selectable merchant according to the access time to the target selectable merchant, the merchant category of the target selectable merchant, the user tag of the user and the merchant category of each candidate merchant in the merchant set; and then determining a target merchant based on the user label, filling the target merchant to a service recommendation strategy to obtain a service recommendation route, carrying out map mapping processing on the service recommendation route, and sending the service recommendation route and a mapping processing result thereof to the user terminal.
In summary, in the recommendation processing method provided in this embodiment, first, an object set in a recommended position range is determined according to an access position submitted by a user terminal, then, a service recommendation template is determined based on access time, a user tag and service attributes of each candidate object in the object set, a target object is determined according to the user tag, the target object is aggregated to the service recommendation template to obtain a service recommendation route, a map mapping process of the service recommendation route is performed, and finally, the service recommendation route and a mapping process result are sent to the user terminal, so that a cross-service-category merchant is recommended to the user, and a travel experience of the user is improved.
An embodiment of a recommendation processing method provided in this specification:
referring to fig. 11, which shows a processing flow diagram of a recommendation processing method provided in this embodiment, referring to fig. 2, which shows a schematic diagram of a merchant list page provided in this embodiment, referring to fig. 3, which shows a schematic diagram of a merchant details page provided in this embodiment, referring to fig. 4, which shows a schematic diagram of a service recommendation route display page provided in this embodiment, referring to fig. 5, which shows a schematic diagram of a candidate merchant display page provided in this embodiment, referring to fig. 6, which shows a schematic diagram of a user home page provided in this embodiment, referring to fig. 7, which shows a schematic diagram of a route evaluation edit page provided in this embodiment, referring to fig. 8, which shows a schematic diagram of a friend relationship display page provided in this embodiment, referring to fig. 9, which shows a schematic diagram of a merchant home page provided in this embodiment, referring to fig. 12, it shows a processing flow chart of a recommendation processing method applied to a target merchant switching scenario according to this embodiment.
Referring to fig. 1, the recommendation processing method provided in this embodiment is applied to a user terminal, and specifically includes steps S1102 to S1106.
Step S1102 is to receive the service recommended route sent by the server and the mapping processing result after the map mapping processing is performed on the service recommended route, and to display the service recommended route and the mapping processing result.
The recommendation processing method provided in this embodiment recommends a matching service recommendation route within a certain distance to a user according to preferences of the user, and recommends a route to the user for displaying the service recommendation route in a map and displaying details of the route, specifically, first, a merchant whose distance from the user is less than a threshold is determined according to location information of the user, then a service recommendation template for the user is determined according to categories of merchants whose distance from the user is less than the threshold, access time of the user, and preferences of the user, category conditions are carried in the service recommendation template, then merchants that the user likes or possibly likes are screened out from merchants whose distance from the user is less than the threshold according to the preferences of the user, and the screened merchants are filled into the service recommendation template according to categories to obtain a service recommendation route for the user, and the service recommendation route is displayed in a recommendation "aggression" form, and finally, mapping the recommended strategy on a map, displaying the mapping result and the recommended strategy to the user, guiding the user to trade according to the recommended strategy, and improving the user experience and the recommendation effect of merchants.
In this embodiment, a user accesses a target program through a user terminal, and in order to improve user experience, the user can enjoy services nearby, and in a service recommendation process for the user, a merchant whose distance from the user is smaller than a certain threshold, that is, a merchant in a recommended position range, is preferentially recommended to the user. For example, a merchant with a distance of less than 1 kilometer from the user is recommended to the user, and 1 kilometer is the recommended position range. The objects in this embodiment include individual service merchants (e.g., restaurants, movie cities) whose distance from the user is less than a certain threshold, combined operators in business circles (e.g., consumer squares), public life service operators (e.g., parks), and the like.
In specific implementation, a user views service recommendation by accessing a target program, when the user accesses a target program homepage, a map rendering mode is used for displaying a recommendation object (merchant) near the user positioning, each merchant displays a self-defined merchant identifier and also displays merchant recommendation information, in order to improve the service experience of the user, in the process of service recommendation for the user, a merchant set in a recommendation position range is determined at first, in the embodiment, an access position is defaulted to be a positioning position of a user terminal, and if the user searches for a designated merchant through the user terminal, the merchant position is determined to be the access position. The server determines the set of objects by: calling a positioning sensor of the user terminal to read the access position according to an access request which is submitted by the user terminal and aims at a target application; and mapping the access position on a map, and determining a service with the distance from the access position smaller than a distance threshold value according to the length scale of the map to construct the object set.
If the user terminal collects and submits the object keywords input by the user to the server, the server also determines an object set in the following way: according to the object keywords submitted by the user terminal, inquiring an optional object set matched with the object keywords; calculating the position distance between each selectable object in the selectable object set and the user terminal, and sending the position distance between the selectable object set and the user terminal; if a target selectable object selected from the selectable object list submitted by the user terminal is detected, the target selectable object is mapped on a map based on the object position of the target selectable object, and an object with the distance from the object position smaller than a distance threshold value is determined according to the length scale of the map to obtain the object set.
In addition, if the user selects the merchant on the map page, the merchant set of the merchant object is determined according to the merchant position of the selected merchant and the corresponding length of the recommended position range on the map.
Specifically, if a user terminal collects and submits an object keyword input by a user to a server, the server queries a selectable object set matched with the object keyword, calculates the position distance between each selectable object in the selectable object set and the user terminal, sends the selectable object set and the position distance to the user terminal, sorts the selectable objects in the selectable object set according to the corresponding position distance after the user terminal obtains the selectable object set and the position distance sent by the server, obtains a selectable object list, displays the selectable object list, submits a target selectable object to the server when detecting that the target selectable object in the selectable object list is triggered, and further determines the corresponding object set by taking the position of the target selectable object as an access position. It should be noted that, in the process of sorting the selectable objects, the user terminal may also be arranged according to other factors, for example, sorting according to the praise times of the user, the more praise times, the earlier the sequence, or sorting according to the friend access number, the more friend accesses, the earlier the sequence. In addition, the rank ordering may also be performed according to one or more influencing factors, and this embodiment is not limited herein.
For example, a user submits a keyword as a movie city through a user terminal, the user terminal submits the keyword movie city to a server, the server inquires xx movie cities which are 1.1 kilometers away from the positioning position of the user terminal and xx movie cities which are 2.3 kilometers away from the positioning position of the user terminal according to the keyword, reads that the number of prawns of xx movie cities users which are 1.1 kilometers away is 1200+, 12 friends of the user access the movie city, and the recommendation information of the movie city is mass resources! ' leisure entertainment ' reads that the number of praise of xx movie city users with the distance of 2.3 kilometers is 1200+, 8 friends of the users visit the movie city, and the recommendation information of the movie city is ' mass resources! 'leisure entertainment' sends the information of xx shadow city with the distance of 1.1 kilometer and the shadow city information of xx shadow city with the distance of 2.3 kilometers to a user terminal, the user terminal sorts the two shadow cities according to the positions of the user and renders a page shown in figure 2 according to the sorting result for display, and if the user is detected to select the xx shadow city with the distance of 1.1 kilometer, a merchant set with the distance of less than 3 kilometers from the shadow city is determined according to the position information of the shadow city.
It should be noted that the user terminal displays the selectable merchant list. In order to improve the perception degree of the user, the keywords of the selectable merchants are highlighted, and the merchant information of each merchant comprises a merchant identifier, a merchant name, a friend access number, a total sum of historical attack and mitigation likeness degrees, a path distance, merchant recommendation information and/or a historical attack and mitigation label, wherein the merchant recommendation information and the display content are determined according to the preference of the user, the historical attack and mitigation label can be generated according to a sorting algorithm, and the merchant information is not limited in the embodiment.
After detecting that the user selects the target selectable merchant, the user terminal renders a merchant detail page and displays the merchant detail page, wherein the merchant detail page is composed of merchant information, real-time information, evaluation and/or historical strategy labels. The basic information of the merchant is displayed by the merchant information, is obtained by the merchant through self-definition and comprises a merchant identifier, a merchant name, merchant categories (food, beauty, fitness, parks and public services), per-capita consumption amount, carousel photos and/or merchant characteristic labels; the real-time information comprises merchant announcement information and merchant discount information, is configured by a merchant, and also comprises the times of the bought of the boutique, the times of visiting or card punching of a friend and/or the path distance; the evaluation comprises displaying merchant evaluations according to a recommendation ranking algorithm, wherein the merchant evaluations comprise personal avatars, nicknames, evaluation times, evaluation text information (expandable details) and/or picture lists. The historical strategy label recommends the strategy containing the merchant according to the preference of the user, leads the merchant to jump to a product home page for viewing, positions and switches to the merchant after jumping, and recommends the strategies nearby the merchant.
Following the above example, the user selects xx movie cities at a distance of 1.1 kilometers, showing the merchant details page as shown in FIG. 3.
In specific implementation, the server screens the service recommendation template from the service recommendation template set according to the access time of the access request submitted by the user, the user tag and the service category of each candidate object in the object set. Specifically, the server screens out a service recommendation template corresponding to the access time and including the service class corresponding to the user tag and the service class of each candidate object. The service attribute includes the service category of the candidate object, and may also include other attributes of the candidate object. The service recommendation template comprises a category set of service recommendation objects, and is a formatting template carrying service categories to perform service recommendation according to the service categories. The user label is a label representing the service preference of the user, for example, if the user likes to eat a hot pot, the user label is determined to be a hot pot owner, so that when a restaurant of a hot pot class is recommended to the user, the restaurant of the hot pot class is preferentially recommended; for another example, if the user likes fitness, the tag is determined to be a fitness fan, and when the user recommends a business of leisure and entertainment, the business of gym is preferentially recommended to the user. It should be noted that the user tag may be determined by user definition, or may be determined according to the historical browsing strategy, the historical praise strategy, and/or the historical travel strategy of the user.
In the process of determining the service recommendation template according to the access time of the user, the user tag and the service attribute of each candidate object in the object set, the access time is used as an influence factor, the service category which is possibly consumed by the user at the time is determined from the time dimension, and correspondingly, the service recommendation template which recommends the time to the user at least comprises the template of the service category which is possibly consumed by the user. For example, if the user accesses the target application at 11 am, the purpose of the user is most likely to be to have a meal, and at least one service recommendation template in the determined at least one service recommendation template should contain a meal class; for another example, if the time when the user accesses the target application is two noon on a weekend, it is determined that the user is most likely to want to perform leisure entertainment, a service recommendation template at least including a class of leisure entertainment is determined, and if the user is likely to have a meal at two noon, the service recommendation template including the class of meal is also determined as the service recommendation template for the user.
In the process of determining the service recommendation template, the user tag is used as an influence factor, and at least a service category which should be included in the service recommendation template is determined from the service category dimension of the object included in the service recommendation template, for example, if the user tag includes a fitness enthusiast and a hot-pot lander, at least one determined service recommendation template includes at least a meal category and a leisure entertainment category.
The service attribute of each candidate object is used as an influence factor, and at least a service category which should be included in the service recommendation template is also determined from the service category dimension of the object included in the service recommendation template, for example, the merchant category in the merchant set includes a meal category, a dessert category, and a movie category, and then at least one service recommendation template in the determined at least one service recommendation template should include a meal category, a dessert category, and/or a movie category.
For example, the server obtains an access request for target reference submitted by the user terminal, calls a positioning sensor of the user terminal to read the terminal position according to the access request, queries a terminal position point in a map according to the terminal position, draws the circle by taking the terminal position point as the center of a circle and taking the map length corresponding to 3 kilometers as the radius, and reads merchants in the circle to form a merchant set. And reading at least one service recommendation template according to the user preference corresponding to the user identifier of the user terminal, the submission time of the access request and the service category of each merchant in the merchant set.
In addition, in order to improve the effectiveness of the service recommendation template, the server may first screen effective objects in an object set according to user tags, then determine the service recommendation template based on access time and service categories of the effective objects, then determine target objects according to the user tags, aggregate the target objects to the service recommendation template to obtain a service recommendation route, and perform map mapping processing on the service recommendation route.
As described above, the service recommendation template including the category set of the service recommendation object refers to a formatting template carrying service categories for service recommendation according to the service categories. The service recommended route is displayed in a service 'strategy' mode and comprises a set which is recommended to a user and contains merchant and route navigation information; such as a set of merchants across service categories within 3 kilometers around the visiting location. Specifically, from a data perspective, the target merchants determined according to the user tags are filled into a service recommendation template determined based on the access time, the user tags, service categories in the merchant set and the candidate merchants, that is, a set containing multiple cross-category merchants and route navigation information recommended to the user is obtained. For example, one of the determined service recommendation templates includes a meal class, a dessert class and a movie class, a first target merchant of the meal class, a second target merchant of the dessert class and a third target merchant of the movie class are determined in the merchant set according to the user tag, and the first target merchant, the second target merchant and the third target merchant are filled into the service recommendation template according to the sequence in the service recommendation template, so that a service recommendation route composed of the first target merchant, the second target merchant and the third target merchant is obtained.
The map mapping processing means that the service recommendation route is mapped to a map, so that a user can view the position of a merchant and the service recommendation path more intuitively. Specifically, a mapping relation between the service recommendation route and a map is established, after the mapping relation is established, a target merchant contained in the service recommendation route is mapped to the map, and meanwhile, path information of the service recommendation route is mapped to the service recommendation route; in the displaying process, displaying the merchant identification of the target merchant in a map page displaying a map, and displaying the path information in a service recommendation layer displaying a service recommendation route.
In specific implementation, in the process of determining the service recommended route and performing map mapping processing, the server specifically implements the following steps:
(1) and determining a target object according to the user tag, and aggregating the target object to the service recommendation template to obtain a service recommendation route.
In specific implementation, after the service recommendation template is determined, the candidate objects in the object set are filled into the service recommendation template according to the user tags to obtain a service recommendation route, in order to improve user experience, in the process of filling the candidate objects, specific filled merchants need to be determined according to the user tags, and the server performs aggregation processing in the following manner: ranking the candidate services of the service attributes in the object set based on the user tags to obtain a service ranking positively correlated with the user preference; reading the target object based on the template service attribute contained in the service recommendation template and the service sequencing; and filling the target object into the service recommendation template according to the template service attribute and the service attribute of the target object to obtain the service recommendation route.
Specifically, the candidate services of different service categories in the object set are sorted according to the user tags, wherein the higher the matching degree with the user tags is, the earlier the sorting is, then the target objects are read according to the service sorting according to the template service attributes contained in the service recommendation template, and then the target objects are filled into the service recommendation template according to the template service attributes. It should be noted that the number of the target objects in the service recommendation route is determined according to the service categories configured by the service recommendation template, and the service categories are in one-to-one correspondence with the target objects.
For example, candidate merchants of each service category in the merchant set are ranked according to user preferences, one service recommendation template of the service recommendation templates contains meals, sweets and movies, a first target merchant of the meals, a second target merchant of the sweets and a third target merchant of the movies are read from the ranked merchants, and the first target merchant, the second target merchant and the third target merchant are filled into the service recommendation templates according to the recommendation sequence of the service categories in the service recommendation templates to obtain a service recommendation route.
(2) And performing map mapping processing of the service recommended route.
After the service recommended route is obtained, in order to enable a user to feel the merchant position and the service recommended path of the target merchant included in the service recommended route more intuitively, map mapping processing is carried out on the service recommended route, and in the process of map mapping processing, a server executes the following steps:
searching object points mapped by each target object in the map based on the object position of each target object;
determining a service recommendation path formed by object points mapped by each target object in the map according to the service sequence relation of each target object determined by the service recommendation template;
calculating the path length of each service recommendation sub-path in the service recommendation paths based on the service sequence relation, and/or predicting the travel time of each service recommendation sub-path;
mapping the service recommendation path, the service recommendation sub-paths, the path length and/or the travel time to the service recommendation route.
For example, the service recommendation route includes a first target merchant, a second target merchant and a third target merchant, corresponding merchant points are searched in a map according to merchant positions of the first target merchant, the second target merchant and the third target merchant, then service recommendation paths from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant are formed according to an order relationship among the first target merchant, the second target merchant and the third target merchant, wherein the service recommendation paths from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant are respectively service recommendation sub-paths, and the path length of each sub-path from the user access position to the first target merchant, from the first target merchant to the second target merchant and from the second target merchant to the third target merchant is calculated, and predicting the travel time of each sub-path, and associating the service recommendation path, the service recommendation sub-path, and the path length and travel time of each sub-path with a service recommendation route comprising the first target merchant, the second target merchant and the third target merchant.
In practical applications, in order to meet diversified requirements of users, when a plurality of service recommendation routes are determined, in order to improve the perception degree of the users on different service recommendation routes and display the plurality of service recommendation routes to the users, in an optional implementation manner provided by this embodiment, the recommendation sequence of each service recommendation route in the service recommendation routes and/or the display sequence of each service recommendation route by the user terminal is positively correlated with the number of user marks of each service recommendation route. Specifically, the recommendation sequence of the service recommendation route is determined according to the number of praise users of each service recommendation template.
For example, if the praise user of the service recommendation template including the meal class, the dessert class and the movie class is 2.2k, the praise user of the service recommendation template including the meal class, the movie class is 1.9k, and the praise user of the service recommendation template including the meal class and the scenic spot class is 1.5k, the service recommendation template including the meal class, the dessert class and the movie class is preferentially recommended, and if it is detected that the user submits a template switching request, the service recommendation template including the meal class and the movie class is recommended.
In a specific implementation, after the service recommended route and the mapping processing result are sent to the user terminal, the user terminal displays the service recommended route and the mapping processing result, in an optional implementation provided in this embodiment, the user terminal displays the service recommended route and the mapping processing result in the following manner:
rendering a target object position point contained in the service recommendation route in a map page, specifically marking the target object position point, and rendering a service recommendation layer based on the service recommendation route; the service recommendation layer is positioned on the map page;
rendering a service recommendation path having a service mapping relation with the service recommendation path in the map page, and rendering path recommendation information of the service recommendation path in the service recommendation layer; the path recommendation information includes: each service recommends a sub-path, a path length and/or a travel time;
and displaying the rendered map page, and displaying the rendered service recommendation layer on the rendered map page.
Specifically, in the process of rendering and displaying the map page, the user terminal highlights the target merchants and the service recommendation paths contained in the service recommendation layer on the map page, and also displays a certain number of merchants of cross-service categories near the user by default. Displaying merchant recommendation information at a position corresponding to a target merchant in a map page, wherein the merchant recommendation information can be recommended according to the preference of a user, such as price sensitivity, and preferential promotion activities are displayed; if people like to taste the novel food, more new products of merchants are displayed; children's amusement places are recommended for children's users; with the pet user, more recommended pets can enter the place.
In the process of rendering and displaying the service recommendation layers by the user terminal, each service recommendation layer displays one service recommendation route, and the service recommendation layers can be switched and viewed by sliding left and right or in other modes. Specifically, the service recommendation layer renders or is configured with one or more of the following items of information: the system comprises a recommendation name, recommendation degree, keywords, a starting control, a rights and interests obtaining control, a sharing control, merchant information and route information. The recommendation name is generated according to the access time of the user and/or the user label; the recommendation degree comprises friend card punching times and/or praise times; the keywords comprise characteristic labels of service recommended routes, such as suitability for 2-4 people, low carbon, environmental protection, entertainment, portability of pets and the like; the route information comprises travel modes among merchants, recommended walking, subway, riding and the like according to user preferences, travel information, calorie prompting, low-carbon index prompting and travel time prompting according to the user preferences. The user can jump to the map and navigation software by one key. The merchant information comprises a merchant identification map and is generated by the merchant in a self-defining way. The number of friends visited by the merchant in the last month; the merchant information introduction is to show the name of the merchant, preferential activities, business information, new product services and the like to the user according to the preference of the user; the online service entrance of the merchant, such as online booking, online ticket buying, coupon picking, public service points (public service in the skip terminal) and the like, skips to a merchant detail page after clicking a merchant information card.
During specific implementation, a user can check detailed information of a merchant through any merchant detail access operation in a service recommendation layer, and a server is matched with a user terminal to display merchant details in the following mode:
according to the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route, obtaining the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route; reading the service information of any target object and a historical service recommended route containing any target object;
and sending the service information and the historical service recommended route to the user terminal.
As shown in fig. 4, the user may make a "xxxxxx strategy" trip through the trigger control 401, and may make an online booking of the first target merchant through the trigger control 402; the coupon of "full 200 minus 100" of the first target merchant and the coupon of "full 100 minus 20" provided by the third target merchant can be received by one key of the trigger control 403; the first target merchant may also be handed off through the trigger control 404.
In practical application, due to the fact that the demands of users are diverse, in order to improve the trust degree of the users to the target degree, the merchants are switched according to user instructions so as to achieve diversified demands of the users, the users can select to replace merchants according to any service type in the service recommendation routes in the service recommendation layer, when the merchants are replaced, shop identifications of nearby merchants of the same type are highlighted by the user terminals, and after the replaced merchants are selected, merchants and service recommendation paths contained in the updated service recommendation routes are highlighted on a map page. The server performs merchant switching by:
if an object switching request of the user terminal for any target object is detected, determining a service class to which the target object belongs;
screening the candidate objects of the service category in the object set;
issuing the service category and the candidate object to the user terminal so as to specifically mark the candidate object on a map page, and displaying a category identifier of the service category on a service recommendation layer positioned on the map page;
after a user terminal displays a map page with a specific mark and a service recommendation layer with a category identifier for a user, if a target candidate object in candidate objects is detected to be triggered by the user, submitting the target candidate object to a server, and executing the following operations by the server:
updating a target object under the service category to which the target candidate object belongs in the service recommendation route according to the target candidate object selected from the candidate objects submitted by the user terminal;
and carrying out map mapping processing on the updated service recommended route, and issuing the updated service recommended route and a mapping processing result to the user terminal.
For example, the user triggers the control 404 in fig. 4, the user terminal submits a handover request to the server for the first target merchant, the server reads, according to the merchant category of the first target merchant, a candidate merchant belonging to the same category as the merchant category of the first target merchant from the merchant set determined according to the access position, and sends the candidate merchant to the user terminal, as shown in fig. 5, the user terminal performs specific marking on the candidate merchant on a map page according to the location information of the candidate merchant, and displays the service category on a service recommendation layer located above the map page. When detecting that the user selects the target candidate merchant through the page shown in fig. 5, the user terminal submits the target candidate merchant to the server, so that the server updates the first target merchant in fig. 4 to the target candidate merchant, performs map mapping processing on a service recommendation route formed by the target candidate merchant, the second target merchant and the third target merchant, and sends the updated service recommendation route and the mapping processing result thereof to the user terminal.
Similarly, the user terminal may complete a switching operation on any target object, and in an optional implementation manner provided in this embodiment, the following steps are performed:
if the object switching operation aiming at any target object in the service recommendation route is detected, determining the service type of the any target object;
determining candidate objects of the service category;
and carrying out specific marking on the candidate object on the map page, and displaying the category identification of the service category on a service recommendation layer positioned on the map page.
In the process of determining the candidate object, sending a candidate object reading request to a server, and sending an object set to the user terminal by the server according to the candidate object reading request; and after receiving the object set, the user terminal reads the candidate object corresponding to the service class in the object set, and performs specific marking and display on the candidate object.
If the user terminal detects that the user performs switching operation on any target object, the service type of any target object is read, a candidate object of the service type is read from an object set sent by the server, a candidate position point corresponding to a candidate position is specifically marked on a map page, and a type identifier of the service type is displayed in a service recommendation layer positioned on the map page. After the map page and the service recommendation layer are displayed, the following steps are executed:
updating the target object under the service category to which the target candidate object belongs in the service recommendation route according to the target candidate object selected from the candidate objects submitted by the user;
and updating the service recommendation layer based on the updated service recommendation route, and displaying a service recommendation path mapped according to the updated service recommendation route on the map page.
And if the triggering operation of the user on the target candidate position point on the map page is detected, updating the target candidate object selected by the user, and displaying a service recommendation layer rendered according to the updated service recommendation route and the mapped map page.
In the process of accessing the target program, the user may access the user homepage through a homepage access control configured on the display page of the user terminal, and in an optional implementation manner provided in this embodiment, the user homepage is displayed in the following manner:
inquiring a historical service recommended route of a user identification mark carried in a homepage access request according to the user homepage access request submitted by the user terminal;
and sending the historical service recommended route to the user terminal so that the user terminal displays a historical service recommended route list determined according to the marking time.
Specifically, the user terminal detects that a home page access control configured by the display page is triggered, sends a user home page access request to the server, the server inquires user information corresponding to a user identifier carried in the user home page access request and sends the user information to the user terminal, and the user terminal renders a home page display page based on the user information and displays the home page.
For example, the user terminal detects that the user triggers a home page access control configured by a display page, sends a home page access request to the server, the server queries user information of the user according to a user identifier carried in the home page access request, the user information includes "personal information", "today's strategy" and "my footprint", sends the queried user information to the user terminal, and the user terminal renders the home page display page shown in fig. 6 according to the user information and displays the home page display page. The 'personal information' inquired by the server comprises a personal head portrait, a personal nickname, a level (formed by the number of times of strategy participation, the evaluation preference of release and the evaluation number of release), a medal wall (a medal acquired by participating in specific strategy), and a hobby label (which is empty by default, is intelligently generated after strategy selection according to the user, and also allows the user to edit and modify); the default of the current strategy is null, if a user selects one strategy, the structure of a strategy mark, a strategy name and a strategy feature label is displayed, when the user terminal displays the current strategy, an evaluation control for the strategy evaluation is provided, after the evaluation control 601 is clicked, the route evaluation editing page shown in fig. 7 is entered, and the strategy preference evaluation, the label setting, the evaluation text and the evaluation picture can be submitted; "My footprint" contains the user's historical listing information and corresponding ratings for participating merchants that have visited and visited. In addition, a friend relationship can also be displayed, as shown in fig. 8, a friend having the highest frequency of recent common trips is displayed in the friend relationship, including a friend head portrait, a nickname, and a favorite tag.
It should be noted that, if the user is registered as a merchant identity, the merchant homepage can be accessed through the user terminal, specifically, the user terminal detects an access operation of the user on the target application, submits an access request to the server, and the server inquires whether a user identifier carried in the access request is associated with the merchant, and if so, sends a prompt to the user terminal so that the user terminal configures a merchant homepage access control in the display page; if the user terminal detects that the user triggers the merchant homepage access control, a merchant information query request is submitted to the server, the server queries merchant information according to the merchant identification in the merchant information query request and sends the merchant information to the user terminal, and the user terminal renders a display page according to the merchant information and displays the display page.
As shown in fig. 9, in the process of rendering the merchant homepage display page based on the merchant information, the user terminal configures five modules in the display page, including a basic information module, a data overview module, an activity announcement module, a commodity management module, and an activity configuration module; wherein the basic information module renders store identification, store level, store name and/or characteristic label management. The shop identification can be selected from system recommendations and also can be uploaded by merchants; the characteristic label management can automatically generate or manually add a characteristic label; the store registration is determined based on the evaluation of the historical user and the transaction situation. The data overview module renders merchant operation information data display, such as the visit amount in the last 30 days. The activity bulletin module renders activity bulletin and operation information newly added or modified by merchants, and the content of the specific activity bulletin is displayed in the merchant recommendation information according to recommendation rules. The commodity management module renders service and commodity information uploaded by a merchant to a shop; including pictures, names, profiles, etc., such as novels, feature dishes, etc. The merchant in the activity configuration module can participate in platform operation activities such as full-field general coupon activity registration in a one-key mode.
And step S1104, sending a rights and interests getting instruction to the server under the condition that the user is detected to trigger the rights and interests getting control, so that the server performs rights and interests issue processing of the service recommended route.
In specific implementation, in order to improve the participation degree of the user, the user is guided to carry out coupon consumption in a way of issuing rights and interests to the user, and after a service recommendation route formed by aggregating target objects is obtained, the server determines the route rights and interests of the service recommendation route in the following way:
inquiring whether the target object is configured with service rights and interests;
if yes, calculating the route rights of the service recommended route based on the service rights.
Specifically, the user terminal sends a rights and interests obtaining instruction to the server when detecting that the user triggers the rights and interests obtaining control, so that the server performs rights and interests issuing processing on a service recommended route, and if detecting that the user terminal submits a obtaining request aiming at the route rights and interests, the server establishes an association relation between a user identifier and the route rights and sends the route rights and interests to the user terminal. It should be noted that the reward can also be sent to the user by sending the carbon-saving identifier to the user after the user goes out.
For example, the service recommendation route includes a first target merchant, a second target merchant and a third target merchant, merchant information of the first target merchant, the second target merchant and the third target merchant is inquired, the first target merchant provides a "full 200 minus 100" activity, the third target merchant provides a "full 100 minus 20" activity, and a 120-element benefit that the user can enjoy for the recommendation strategy is calculated and obtained according to the activities provided by the first target merchant and the third target merchant.
Step S1106, updating the service node state of the service recommended route based on the user location according to the service triggering operation of the user on the service recommended route.
The user performs online booking through an online service entrance of a merchant, such as an online booking seat and an online ticket buying control, specifically, in the online booking process of the user, a service recommending layer of the service recommending route is configured with service booking controls of each target object; and if the service reservation control of any target object is triggered, acquiring data required for reservation of the any target object, performing service reservation processing of the any target object based on the data required for reservation, acquiring a reservation processing result of the service reservation processing, and sending the reservation processing result to the user terminal.
If the user selects the service recommendation route, in order to improve the perception degree of the user to the current service node state, the server updates the service node state in the following way:
calling a positioning sensor of the user terminal to read the terminal position of the user terminal according to a service triggering request which is submitted by the user terminal and aims at the service recommended route;
and inquiring a corresponding terminal position point in a map based on the terminal position, updating the user position representation point in the service recommendation path, and updating the service node state of the service recommendation route according to the service mapping relation.
Specifically, the service mapping relationship refers to a mapping relationship between a path in a map and a service recommended route.
In the process of updating the service node state, the server may update the service node state based on the terminal position of the user terminal, and then send the service node state and the terminal position point of the terminal position mapped on the map to the user terminal, so that the user terminal displays the service node state, or the user terminal displays the terminal position point on the map page according to the terminal position, and determines and displays the service node state according to the relationship between the terminal position point and the service recommendation path.
The recommendation processing method provided in this embodiment is further described below by taking an application of the recommendation processing method provided in this embodiment in a target merchant switching scenario as an example, and referring to fig. 12, the recommendation processing method applied in the target merchant switching scenario specifically includes steps S1202 to S1214.
Step S1202, rendering a target object location point included in the service recommended route in the map page and performing specific marking on the target object location point, and rendering a service recommended layer based on the service recommended route.
Step S1204, rendering a service recommendation path having a service mapping relationship with the service recommendation path in the map page, and rendering path recommendation information of the service recommendation path in the service recommendation layer.
Step S1206, displaying the rendered map page, and displaying the rendered service recommendation layer on the rendered map page.
Step S1208, if the switching operation of the user to the target merchant to be switched in the service recommendation layer is detected, determining candidate merchants of the same service type as the target merchant to be switched.
Step S1210, specifically marking the position points of the merchants of the candidate merchants on the map page, and displaying the category identification of the service category on the service recommendation layer positioned on the map page.
Step S1212, according to the target candidate merchant selected by the user from the candidate merchants, updating the to-be-switched target merchant with the service recommendation route being able to be the target candidate merchant.
Step S1214, the service recommendation layer is updated based on the updated service recommendation route, and the service recommendation path mapped by the updated service recommendation route is displayed on the map page.
To sum up, in the recommendation processing method provided in this embodiment, the service recommendation route sent by the server and the mapping processing result after the service recommendation route is subjected to map mapping processing are received, the service recommendation route and the mapping processing result are displayed, then, under the condition that it is detected that the user triggers the right getting control, a right getting instruction is sent to the server so that the server performs right issue processing on the service recommendation route, and finally, the service node state of the service recommendation route is updated based on the user position according to the service triggering operation on the service recommendation route by the user.
An embodiment of a recommendation processing apparatus provided in this specification is as follows:
in the above embodiment, a recommendation processing method is provided, and a recommendation processing apparatus is provided, which is described below with reference to the accompanying drawings.
Referring to fig. 13, a schematic diagram of a recommendation processing apparatus according to the present embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
The present embodiment provides a recommendation processing apparatus, operating in a server, including:
a set determining module 1302, configured to determine a set of objects in a recommended position range according to an access position submitted by a user terminal;
a template determination module 1304 configured to determine a service recommendation template based on the access time, the user tag, and the service attribute of each candidate object in the set of objects;
the mapping processing module 1306 is configured to determine a target object according to the user tag, aggregate the target object to the service recommendation template to obtain a service recommendation route, and perform map mapping processing on the service recommendation route;
a route sending module 1308 configured to send the service recommended route and the mapping processing result to the user terminal.
Another embodiment of a recommendation processing apparatus provided in this specification is as follows:
in the above embodiment, a recommendation processing method is provided, and a recommendation processing apparatus is provided, which is described below with reference to the accompanying drawings.
Referring to fig. 14, a schematic diagram of a recommendation processing apparatus according to the present embodiment is shown.
Since the device embodiments correspond to the method embodiments, the description is relatively simple, and the relevant portions may refer to the corresponding description of the method embodiments provided above. The device embodiments described below are merely illustrative.
The embodiment provides a recommendation processing apparatus, which runs on a user terminal, and includes:
a route receiving module 1402, configured to receive a service recommended route sent by a server and a mapping processing result of the service recommended route after map mapping processing, and display the service recommended route and the mapping processing result;
a rights and interests receiving module 1404 configured to, in a case that it is detected that the user triggers a rights and interests receiving control, send a rights and interests receiving instruction to the server so as to cause the server to perform rights and interests issue processing of the service recommended route;
and the state updating module 1406 is configured to update the service node state of the service recommendation route based on the user position according to the service triggering operation of the user on the service recommendation route.
An embodiment of a recommendation processing apparatus provided in this specification is as follows:
corresponding to the recommendation processing method described above, based on the same technical concept, one or more embodiments of the present specification further provide a recommendation processing apparatus for executing the recommendation processing method provided above, and fig. 15 is a schematic structural diagram of the recommendation processing apparatus provided in one or more embodiments of the present specification.
The recommendation processing device provided by the embodiment is operated in a server, and includes:
as shown in fig. 15, the recommendation processing device may have a large difference due to different configurations or performances, and may include one or more processors 1501 and a memory 1502, and one or more stored applications or data may be stored in the memory 1502. The memory 1502 may be, for example, a transient storage or a persistent storage. The application program stored in the memory 1502 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in the recommendation processing device. Still further, the processor 1501 may be configured to communicate with the memory 1502 and execute a series of computer-executable instructions in the memory 1502 on the recommendation processing device. The recommendation processing device may also include one or more power supplies 1503, one or more wired or wireless network interfaces 1504, one or more input/output interfaces 1505, one or more keyboards 1506, and the like.
In one particular embodiment, the recommendation processing apparatus includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the recommendation processing apparatus, and the one or more programs configured for execution by the one or more processors include computer-executable instructions for:
determining an object set in a recommended position range according to an access position submitted by a user terminal;
determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set;
determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route;
and sending the service recommended route and the mapping processing result to the user terminal.
Another embodiment of a recommendation processing apparatus provided in this specification is as follows:
corresponding to the recommendation processing method described above, based on the same technical concept, one or more embodiments of the present specification further provide a recommendation processing apparatus for executing the recommendation processing method provided above, and fig. 16 is a schematic structural diagram of the recommendation processing apparatus provided in one or more embodiments of the present specification.
The recommendation processing device provided by the embodiment is operated on a user terminal, and includes:
as shown in fig. 16, the recommended processing device may have a relatively large difference due to different configurations or performances, and may include one or more processors 1601 and a memory 1602, where one or more stored applications or data may be stored. Wherein the memory 1602 may be a transient storage or a persistent storage. The application program stored in memory 1602 may include one or more modules (not shown), each of which may include a series of computer-executable instructions in a recommendation processing device. Still further, the processor 1601 may be configured to communicate with the memory 1602 to execute a series of computer-executable instructions in the memory 1602 on the recommendation processing device. The recommendation processing device may also include one or more power supplies 1603, one or more wired or wireless network interfaces 1604, one or more input/output interfaces 1605, one or more keyboards 1606, and the like.
In one particular embodiment, the recommendation processing apparatus includes a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions for the recommendation processing apparatus, and the one or more programs configured for execution by the one or more processors include computer-executable instructions for:
receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result;
under the condition that a user is detected to trigger a rights and interests getting control, sending a rights and interests getting instruction to the server so as to enable the server to perform rights and interests issuing processing of the service recommended route;
and updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
An embodiment of a storage medium provided in this specification is as follows:
in correspondence to the recommendation processing method described above, based on the same technical concept, one or more embodiments of the present specification further provide a storage medium.
The storage medium provided in this embodiment is used to store computer-executable instructions, and when executed, the computer-executable instructions implement the following processes:
determining an object set in a recommended position range according to an access position submitted by a user terminal;
determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set;
determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route;
and sending the service recommended route and the mapping processing result to the user terminal.
It should be noted that the embodiment of the storage medium in this specification and the embodiment of the recommended processing method in this specification are based on the same inventive concept, and therefore, for specific implementation of this embodiment, reference may be made to implementation of the foregoing corresponding method, and repeated details are not described here.
Another storage medium embodiment provided in this specification is as follows:
in correspondence to the recommendation processing method described above, based on the same technical concept, one or more embodiments of the present specification further provide a storage medium.
The storage medium provided in this embodiment is used to store computer-executable instructions, and when executed, the computer-executable instructions implement the following processes:
receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result;
under the condition that a user is detected to trigger a rights and interests getting control, sending a rights and interests getting instruction to the server so as to enable the server to perform rights and interests issuing processing of the service recommended route;
and updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
It should be noted that the embodiment of the storage medium in this specification and the embodiment of the recommended processing method in this specification are based on the same inventive concept, and therefore, for specific implementation of this embodiment, reference may be made to implementation of the foregoing corresponding method, and repeated details are not described here.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
In the 30 s of the 20 th century, improvements in a technology could clearly be distinguished between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present description.
One skilled in the art will recognize that one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of this document and is not intended to limit this document. Various modifications and changes may occur to those skilled in the art from this document. Any modifications, equivalents, improvements, etc. which come within the spirit and principle of the disclosure are intended to be included within the scope of the claims of this document.

Claims (25)

1. A recommendation processing method is applied to a server and comprises the following steps:
determining an object set in a recommended position range according to an access position submitted by a user terminal;
determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set;
determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route;
and sending the service recommended route and the mapping processing result to the user terminal.
2. The recommendation processing method according to claim 1, wherein after determining the target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing the step of map mapping processing of the service recommendation route, and before the step of sending the service recommendation route and the mapping processing result to the user terminal is performed, the method further comprises:
inquiring whether the target object is configured with service rights and interests;
if yes, calculating a route right of the service recommended route based on the service right;
correspondingly, the method further comprises the following steps:
and if the user terminal is detected to submit a pickup request aiming at the route right, establishing an incidence relation between a user identifier and the route right, and sending the route right to the user terminal.
3. The recommendation processing method according to claim 1, wherein the determining the set of objects in the recommended position range according to the access position submitted by the user terminal comprises:
calling a positioning sensor of the user terminal to read the access position according to an access request which is submitted by the user terminal and aims at a target application;
and mapping the access position on a map, and determining a service with the distance from the access position smaller than a distance threshold value according to the length scale of the map to construct the object set.
4. The recommendation processing method according to claim 1, wherein the determining the set of objects in the recommended position range according to the access position submitted by the user terminal comprises:
according to the object keywords submitted by the user terminal, inquiring an optional object set matched with the object keywords;
calculating the position distance between each selectable object in the selectable object set and the user terminal, and sending the position distance between the selectable object set and the user terminal;
if a target selectable object selected from the selectable object list submitted by the user terminal is detected, the target selectable object is mapped on a map based on the object position of the target selectable object, and an object with the distance from the object position smaller than a distance threshold value is determined according to the length scale of the map to obtain the object set.
5. The recommendation processing method according to claim 1, wherein the number of target objects in the service recommendation route is determined according to the service classes configured by the service recommendation template, and the service classes are in one-to-one correspondence with the target objects;
correspondingly, the performing of the map mapping process of the service recommended route includes:
searching object points mapped by each target object in the map based on the object position of each target object;
determining a service recommendation path formed by object points mapped by each target object in the map according to the service sequence relation of each target object determined by the service recommendation template;
calculating the path length of each service recommendation sub-path in the service recommendation paths based on the service sequence relation, and/or predicting the travel time of each service recommendation sub-path;
mapping the service recommendation path, the service recommendation sub-paths, the path length and/or the travel time to the service recommendation route.
6. The recommendation processing method of claim 5, further comprising:
calling a positioning sensor of the user terminal to read the terminal position of the user terminal according to a service triggering request which is submitted by the user terminal and aims at the service recommended route;
and inquiring a corresponding terminal position point in a map based on the terminal position, updating the user position representation point in the service recommendation path, and updating the service node state of the service recommendation route according to the service mapping relation.
7. The recommendation processing method according to claim 1, wherein a recommendation display layer of the service recommendation route is configured with service appointment controls of the target objects;
and if the service reservation control of any target object is triggered, acquiring data required for reservation of the any target object, performing service reservation processing of the any target object based on the data required for reservation, acquiring a reservation processing result of the service reservation processing, and sending the reservation processing result to the user terminal.
8. The recommendation processing method of claim 1, further comprising:
inquiring a historical service recommended route of a user identification mark carried in a homepage access request according to the user homepage access request submitted by the user terminal;
and sending the historical service recommended route to the user terminal so that the user terminal displays a historical service recommended route list determined according to the marking time.
9. The recommendation processing method of claim 1, further comprising:
if an object switching request of the user terminal for any target object is detected, determining a service class to which the target object belongs;
screening the candidate objects of the service category in the object set;
and issuing the service category and the candidate object to the user terminal so as to specifically mark the candidate object on a map page, and displaying the category identification of the service category on a service recommendation layer positioned on the map page.
10. The recommendation processing method of claim 9, further comprising:
updating a target object under the service category to which the target candidate object belongs in the service recommendation route according to the target candidate object selected from the candidate objects submitted by the user terminal;
and carrying out map mapping processing on the updated service recommended route, and issuing the updated service recommended route and a mapping processing result to the user terminal.
11. The recommendation processing method of claim 1, further comprising:
according to the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route, obtaining the detail access request which is submitted by the user terminal and is used for any target object in the service recommendation route; reading the service information of any target object and a historical service recommended route containing any target object;
and sending the service information and the historical service recommended route to the user terminal.
12. The recommendation processing method of claim 1, wherein determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route comprises:
ranking the candidate services of the service attributes in the object set based on the user tags to obtain a service ranking positively correlated with the user preference;
reading the target object based on the template service attribute contained in the service recommendation template and the service sequencing;
and filling the target object into the service recommendation template according to the template service attribute and the service attribute of the target object to obtain the service recommendation route.
13. The recommendation processing method according to claim 1, wherein a recommendation order of each service recommendation route in the service recommendation routes and/or a display order of each service recommendation route by the user terminal is positively correlated with a user tag number of each service recommendation route.
14. A recommendation processing method is applied to a user terminal and comprises the following steps:
receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result;
under the condition that a user is detected to trigger a rights and interests getting control, sending a rights and interests getting instruction to the server so as to enable the server to perform rights and interests issuing processing of the service recommended route;
and updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
15. The recommendation processing method of claim 14, the presenting the service recommendation route and the mapping processing result, comprising:
rendering a target object position point contained in the service recommendation route in a map page, specifically marking the target object position point, and rendering a service recommendation layer based on the service recommendation route; the service recommendation layer is positioned on the map page;
rendering a service recommendation path having a service mapping relation with the service recommendation path in the map page, and rendering path recommendation information of the service recommendation path in the service recommendation layer; the path recommendation information includes: each service recommends a sub-path, a path length and/or a travel time;
and displaying the rendered map page, and displaying the rendered service recommendation layer on the rendered map page.
16. The recommendation processing method of claim 15, wherein a display sequence of each service recommendation route in the service recommendation routes by the user terminal is positively correlated to a number of user marks of each service recommendation route.
17. The recommendation processing method according to claim 14, wherein before the receiving the service recommended route and the mapping processing result thereof after the map mapping processing sent by the server, and the displaying the service recommended route and the mapping processing result, the method further comprises:
collecting and submitting object keywords input by the user to the server;
acquiring the distance between the selectable object set and the position sent by the server, and sequencing all selectable objects in the selectable object set according to the corresponding position distance to obtain a selectable object list;
and presenting the selectable object list, and submitting a target selectable object in the selectable object list to the server under the condition that the target selectable object is detected to be triggered.
18. The recommendation processing method of claim 15, further comprising:
if the object switching operation aiming at any target object in the service recommendation route is detected, determining the service type of the any target object;
determining candidate objects of the service category;
and carrying out specific marking on the candidate object on the map page, and displaying the category identification of the service category on a service recommendation layer positioned on the map page.
19. The recommendation processing method of claim 18, further comprising:
updating the target object under the service category to which the target candidate object belongs in the service recommendation route according to the target candidate object selected from the candidate objects submitted by the user;
and updating the service recommendation layer based on the updated service recommendation route, and displaying a service recommendation path mapped according to the updated service recommendation route on the map page.
20. A recommendation processing apparatus, operating on a server, comprising:
the set determining module is configured to determine an object set in a recommended position range according to the access position submitted by the user terminal;
a template determination module configured to determine a service recommendation template based on access time, user tags, and service attributes of each candidate object in the set of objects;
the mapping processing module is configured to determine a target object according to the user tag, aggregate the target object to the service recommendation template to obtain a service recommendation route, and perform map mapping processing on the service recommendation route;
a route transmission module configured to transmit the service recommended route and a mapping processing result to the user terminal.
21. A recommendation processing device, operating in a user terminal, comprising:
the route receiving module is configured to receive a service recommended route sent by the server and a mapping processing result of the service recommended route after map mapping processing, and display the service recommended route and the mapping processing result;
the right and interest obtaining module is configured to send a right and interest obtaining instruction to the server to enable the server to perform right and interest issuing processing of the service recommended route under the condition that a user is detected to trigger a right and interest obtaining control;
and the state updating module is configured to update the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
22. A recommendation processing device, operating on a server, comprising:
a processor; and the number of the first and second groups,
a memory configured to store computer-executable instructions that, when executed, cause the processor to:
determining an object set in a recommended position range according to an access position submitted by a user terminal;
determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set;
determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route;
and sending the service recommended route and the mapping processing result to the user terminal.
23. A recommendation processing device, operable on a user terminal, comprising:
a processor; and the number of the first and second groups,
a memory configured to store computer-executable instructions that, when executed, cause the processor to:
receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result;
under the condition that a user is detected to trigger a rights and interests getting control, sending a rights and interests getting instruction to the server so as to enable the server to perform rights and interests issuing processing of the service recommended route;
and updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
24. A storage medium storing computer-executable instructions that when executed implement the following:
determining an object set in a recommended position range according to an access position submitted by a user terminal;
determining a service recommendation template based on the access time, the user tag and the service attribute of each candidate object in the object set;
determining a target object according to the user tag, aggregating the target object to the service recommendation template to obtain a service recommendation route, and performing map mapping processing on the service recommendation route;
and sending the service recommended route and the mapping processing result to the user terminal.
25. A storage medium storing computer-executable instructions that when executed implement the following:
receiving a service recommended route sent by a server and a mapping processing result after the service recommended route is subjected to map mapping processing, and displaying the service recommended route and the mapping processing result;
under the condition that a user is detected to trigger a rights and interests getting control, sending a rights and interests getting instruction to the server so as to enable the server to perform rights and interests issuing processing of the service recommended route;
and updating the service node state of the service recommended route based on the user position according to the service triggering operation of the user on the service recommended route.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113435622A (en) * 2021-08-26 2021-09-24 深圳百胜扬工业电子商务平台发展有限公司 Data reservation method and system
CN114301973A (en) * 2021-12-24 2022-04-08 支付宝(杭州)信息技术有限公司 Information recommendation processing method and device
CN114428580A (en) * 2022-01-25 2022-05-03 上海哔哩哔哩科技有限公司 Object processing method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180082348A1 (en) * 2016-09-16 2018-03-22 Conduent Business Services, Llc Method and system for data processing to recommend list of physical stores in real-time
CN108573428A (en) * 2018-03-07 2018-09-25 阿里巴巴集团控股有限公司 A kind of resource recommendation method and device
CN109559208A (en) * 2019-01-04 2019-04-02 平安科技(深圳)有限公司 A kind of information recommendation method, server and computer-readable medium
CN110231026A (en) * 2019-06-20 2019-09-13 浙江口碑网络技术有限公司 In conjunction with the shop route recommendation method and device of location information
CN110428298A (en) * 2019-07-15 2019-11-08 阿里巴巴集团控股有限公司 A kind of shop recommended method, device and equipment
CN110954117A (en) * 2018-09-27 2020-04-03 上海博泰悦臻电子设备制造有限公司 Vehicle, navigation travel service pushing method thereof and cloud server

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180082348A1 (en) * 2016-09-16 2018-03-22 Conduent Business Services, Llc Method and system for data processing to recommend list of physical stores in real-time
CN108573428A (en) * 2018-03-07 2018-09-25 阿里巴巴集团控股有限公司 A kind of resource recommendation method and device
CN110954117A (en) * 2018-09-27 2020-04-03 上海博泰悦臻电子设备制造有限公司 Vehicle, navigation travel service pushing method thereof and cloud server
CN109559208A (en) * 2019-01-04 2019-04-02 平安科技(深圳)有限公司 A kind of information recommendation method, server and computer-readable medium
CN110231026A (en) * 2019-06-20 2019-09-13 浙江口碑网络技术有限公司 In conjunction with the shop route recommendation method and device of location information
CN110428298A (en) * 2019-07-15 2019-11-08 阿里巴巴集团控股有限公司 A kind of shop recommended method, device and equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113435622A (en) * 2021-08-26 2021-09-24 深圳百胜扬工业电子商务平台发展有限公司 Data reservation method and system
CN114301973A (en) * 2021-12-24 2022-04-08 支付宝(杭州)信息技术有限公司 Information recommendation processing method and device
CN114428580A (en) * 2022-01-25 2022-05-03 上海哔哩哔哩科技有限公司 Object processing method and system

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