CN109146324B - Recommendation method and device and electronic equipment - Google Patents
Recommendation method and device and electronic equipment Download PDFInfo
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Abstract
The application provides a recommendation method, a recommendation device and electronic equipment, wherein a specific implementation manner of the method comprises the following steps: determining target planning information; determining one or more groups of alternative service packages based on the target planning information, wherein each group of alternative service packages comprises a plurality of service items; and recommending the alternative service package. According to the implementation method, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, and the usability of the client is improved.
Description
Technical Field
The present application relates to the field of internet application technologies, and in particular, to a recommendation method and apparatus, and an electronic device.
Background
With the continuous development of network technology, the internet provides a platform of comprehensive services for the consumption activities of people. Currently, when people plan consumption activities, business projects of the consumption activities are generally selected by clients. As people's consumption activities become more and more abundant, a plurality of business items need to be selected in a coordinated manner each time a consumption activity is planned. Therefore, matching among a plurality of business items needs to be considered, so that the planning efficiency of consumption activities is reduced, and the usability of the client is influenced.
Disclosure of Invention
In order to solve one of the above technical problems, the present application provides a recommendation method, a recommendation device and an electronic device.
According to a first aspect of embodiments of the present application, there is provided a recommendation method, including:
determining target planning information;
determining one or more groups of alternative service packages based on the target planning information, wherein each group of alternative service packages comprises a plurality of service items;
and recommending the alternative service package.
Optionally, the determining one or more groups of alternative service packages based on the target planning information includes:
determining a plurality of target traffic classes based on the target planning information;
selecting a plurality of candidate business items from the business items corresponding to the target business category;
and combining the matched candidate service items in the candidate service items to obtain one or more groups of candidate service packages.
Optionally, the combining the matched candidate service items in the plurality of candidate service items includes:
determining the priority corresponding to each target service type based on the target planning information;
and combining the matched candidate service items in an iterative updating mode according to the priority.
Optionally, the combining the matched candidate service items according to the priority by an iterative update mode includes:
determining a first class with the highest priority in the target service classes and a second class except the first class in the target service classes;
generating one or more initial service packages by using the candidate service items corresponding to the first category;
and traversing the second category according to the sequence of the priority from high to low, and iteratively updating the current service package by adopting the candidate service items corresponding to the second category.
Optionally, for any second category, the current service package is updated by adopting the candidate service item corresponding to the second category in the following manner:
selecting matched target service items from candidate service items corresponding to the second category aiming at each current service package;
and merging the target service items and adding the target service items into the matched service package so as to update the current service package.
Optionally, for any current service package, a matched target service item is selected from candidate service items corresponding to the second category in the following manner:
determining a screening condition corresponding to the service package;
selecting a reference item meeting the screening condition from the candidate service items corresponding to the second category;
if the reference item is one, determining the reference item as the target service item;
and if the number of the reference items is multiple, selecting the reference item with the highest item score as the target service item.
Optionally, the recommending the alternative service package includes:
if the alternative service packages are in multiple groups, determining package scores corresponding to the alternative service packages in each group, wherein the package scores are determined based on the item scores of the service items corresponding to the alternative service packages;
and recommending the alternative service packages based on package scores corresponding to each group of alternative service packages.
Optionally, for any group of alternative service packages, the package score corresponding to the group of alternative service packages is a weighted sum of the item scores of the service items corresponding to the group of alternative service packages.
Optionally, the method further includes:
determining a target service package selected from the alternative service packages;
determining a trip plan based on the target business package;
and sending the travel plan.
Optionally, the trip plan includes a trip route and/or a trip reminder.
According to a second aspect of the embodiments of the present application, there is provided another recommendation method, including:
outputting a preset interface;
determining target planning information input through the preset interface; the target planning information comprises consumption activity scenes and consumption activity conditions;
acquiring one or more groups of alternative service packages based on the target planning information, wherein each group of alternative service packages comprises a plurality of service items;
and outputting the alternative service package.
Optionally, the method further includes:
determining a target service package selected from the alternative service packages;
determining a trip plan for the target business package;
and executing the operation corresponding to the travel plan.
Optionally, the trip plan includes a trip route and/or a trip reminder.
According to a third aspect of embodiments of the present application, there is provided a recommendation apparatus including:
a first determination module for determining target planning information;
a second determining module, configured to determine one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes a plurality of service items;
and the recommending module is used for recommending the alternative service package.
According to a fourth aspect of embodiments of the present application, there is provided a recommendation apparatus, including:
the first output module is used for outputting a preset interface;
the first determining module is used for determining the target planning information input through the preset interface; the target planning information comprises consumption activity scenes and consumption activity conditions;
an obtaining module, configured to obtain one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes a plurality of service items;
and the second output module is used for outputting the alternative service package.
According to a fifth aspect of embodiments herein, there is provided a computer readable storage medium, the storage medium storing a computer program which, when executed by a processor, implements the method of any one of the first or second aspects described above.
According to a sixth aspect of embodiments of the present application, there is provided an electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of the first aspect or the method of any one of the second aspect when executing the program.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the recommendation method and device provided by the embodiment of the application, the target planning information is determined, one or more groups of alternative service packages are determined based on the target planning information, each group of alternative service packages comprises a plurality of service items, and the alternative service packages are recommended. Therefore, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, and the usability of the client is improved.
According to another recommendation method and device provided by the embodiment of the application, target planning information input through a preset interface is determined through the preset interface, the target planning information comprises a consumption activity scene and a consumption activity condition, one or more groups of alternative service packages are obtained based on the target planning information, each group of alternative service packages comprises a plurality of service items, and the alternative service packages are output. Therefore, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, and the usability of the client is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is a schematic diagram of an exemplary system architecture to which embodiments of the present application may be applied;
FIG. 2 is a flow chart illustrating a recommendation method according to an exemplary embodiment of the present application;
FIG. 3 is a flow chart illustrating another recommendation method according to an exemplary embodiment of the present application;
FIG. 4 is a flow chart illustrating another recommendation method according to an exemplary embodiment of the present application;
FIG. 5 is a flow chart illustrating another recommendation method according to an exemplary embodiment of the present application;
FIG. 6 is a flow chart illustrating another recommendation method according to an exemplary embodiment of the present application;
FIG. 7 is a flow chart illustrating another recommendation method according to an exemplary embodiment of the present application;
FIG. 8 is a block diagram of a recommendation device shown in the present application in accordance with an exemplary embodiment;
FIG. 9 is a block diagram of another recommender shown in accordance with an exemplary embodiment of the present application;
FIG. 10 is a block diagram of another recommender shown in accordance with an exemplary embodiment of the present application;
FIG. 11 is a block diagram of another recommender shown in accordance with an exemplary embodiment of the present application;
FIG. 12 is a block diagram of another recommendation device illustrated in the present application in accordance with an exemplary embodiment;
FIG. 13 is a block diagram of another recommender shown in accordance with an exemplary embodiment of the present application;
FIG. 14 is a block diagram of another recommender shown in accordance with an exemplary embodiment of the present application;
fig. 15 is a schematic structural diagram of an electronic device shown in the present application according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
Referring to fig. 1, an exemplary system architecture diagram to which the embodiments of the present application are applied:
as shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, a network 103, and a server 104. It should be understood that the number or types of terminal devices, networks, and servers in fig. 1 are merely illustrative. There may be any number or type of terminal devices, networks, and servers, as desired for an implementation.
The network 103 is used as a medium for providing communication links between terminal devices and servers. Network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102 may interact with the server via the network 103 to receive or transmit requests or information or the like. The terminal devices 101, 102 may be various electronic devices including, but not limited to, smart phones, tablet computers, smart wearable devices, personal digital assistants, and the like.
The server 104 may be a server that provides various services. The server may store, analyze, and the like the received data, or may transmit a control command or a request to the terminal device or another server. The server may provide the service in response to a service request of the user. It will be appreciated that one server may provide one or more services, and that the same service may be provided by multiple servers.
The present application will be described in detail with reference to specific examples.
As shown in fig. 2, fig. 2 is a flowchart illustrating a recommendation method according to an exemplary embodiment, which may be applied in a server. The method comprises the following steps:
in step 201, target planning information is determined.
In this embodiment, the target planning information may be planning information input by the user through the client according to the consumption activity plan. The goal planning information may include, but is not limited to, consumption activity scenarios, consumption activity conditions, and the like.
In this embodiment, the consumption activity scene may include the form and type of the consumption activity. For example, the consumption activity scenes may include, but are not limited to, a multi-person party scene, a lovers' appointment scene, a single-person leisure scene, a weekend gathering scene, a holiday outing scene, and the like. The consumption event conditions may include, but are not limited to, an expected time of the consumption event, an expected location of the consumption event, and a budget of the consumption event, among others.
In this embodiment, after the user inputs the target planning information through the client for the planned consumption activities, the client may send a request carrying the target planning information to the server, and the server may obtain the target planning information from the request.
In step 202, one or more sets of alternative service packages are determined based on the target planning information, each set of alternative service packages including a plurality of service items.
In this embodiment, one or more groups of alternative service packages may be determined based on the target planning information, where each group of alternative service packages may include a plurality of service items, and each service item may include an electronic coupon (e.g., a coupon, or a group purchase coupon) for a consumption activity, and the like.
In one implementation, the target condition may be determined based on the target planning information, and the service item satisfying the target condition may be selected from preset service items. Then, a permutation and combination mode is adopted, one or more groups of service items which are matched with each other are selected from the service items meeting the target conditions, and each group of service items which are matched with each other are combined to obtain one or more groups of alternative service packages. Wherein, the service items matched with each other may be service items which do not conflict with each other in the consuming process.
In another implementation, multiple target service categories may be determined based on the target planning information, multiple candidate service items may be selected from the service items corresponding to the target service categories, and the matched candidate service items in the multiple candidate service items may be combined to obtain one or more groups of candidate service packages.
It is to be understood that the alternative service packages may also be determined in any other reasonable manner, which is not limited in this respect.
In step 203, the above alternative service package is recommended.
In this embodiment, the server may send the determined one or more sets of alternative service packages to the client, so as to recommend alternative service packages to the user. Specifically, if the alternative service packages are a group, the group of alternative service packages can be directly recommended to the user. If the alternative service packages are multiple groups, the multiple groups of alternative service packages can be recommended to the user at random, or the multiple groups of alternative service packages can be recommended to the user according to a preset sequence. For example, package scores corresponding to each group of alternative service packages may be determined, and then, groups of alternative service packages are recommended in an order of package scores from large to small.
In the recommendation method provided by the above embodiment of the present application, by determining the target planning information, one or more groups of alternative service packages are determined based on the target planning information, each group of alternative service packages includes a plurality of service items, and the alternative service packages are recommended. Therefore, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, and the usability of the client is improved.
FIG. 3 is a flow chart of another recommendation method, shown in FIG. 3 according to an exemplary embodiment, describing a process of determining alternative service packages, which may be applied in a server, including the steps of:
in step 301, target planning information is determined.
In step 302, a plurality of target traffic classes are determined based on the target planning information.
In this embodiment, a plurality of business categories may be pre-divided, for example, the business categories may include, but are not limited to, restaurants, movies, shows, hotel accommodations, leisure and entertainment, driving, scenic spot tourism, farmhouse happiness, picking up, fitness, photography, and the like. A plurality of target traffic classes, which may be traffic classes matching the target planning information, may be determined according to the target planning information.
For example, if the goal planning information includes "a college of classmates evening on this week," the plurality of goal business categories may include driving, dining, recreational entertainment, and the like. If the goal planning information includes "whole family outing on saturday", the plurality of goal business categories may include dining, leisure, farmer's fun, picking, etc.
Specifically, in an implementation manner, a machine learning manner may be adopted to obtain a target model through pre-training, then target planning information is input into the target model, and a plurality of target service classes are determined according to a result output by the target model.
In another implementation manner, an association relationship between the keyword and the service category may also be preset, and the association relationship is stored. A keyword may be extracted based on the target planning information, and a service category associated with the keyword may be searched from pre-stored data as a target service category.
It can be understood that the target service class may also be determined in any other reasonable manner, and the specific manner of determining the target service class is not limited in this application.
In step 303, a plurality of candidate business items are selected from the business items corresponding to the target business category.
In this embodiment, the service items corresponding to the target service category may be obtained, and a plurality of candidate service items may be selected from the service items corresponding to the target service category. And the candidate business items are the business items matched with the target planning information. Specifically, the matching condition may be extracted based on the target planning information, and then, a plurality of service items satisfying the matching condition are selected from the service items corresponding to the target service category as candidate service items. The matching condition may include, but is not limited to, a time condition, a location condition, a preference condition, and the like.
In step 304, matching candidate service items in the plurality of candidate service items are combined to obtain one or more groups of candidate service packages.
In this embodiment, the matched candidate service items may be service items that do not conflict with each other in the consuming process, and the service categories corresponding to the matched candidate service items are different.
In one implementation, different target service categories may be traversed, one or more groups of matched candidate service items are selected in a permutation and combination manner, and the matched candidate service items are combined to obtain one or more groups of candidate service packages.
In another implementation, the priority corresponding to each target service category may also be determined based on the target planning information. And then, combining the matched candidate service items in an iterative updating mode according to the priority to obtain one or more groups of alternative service packages.
It can be understood that the alternative service packages may also be obtained in any other reasonable manner, and the present application is not limited in this respect.
In step 305, the alternative service package is recommended.
It should be noted that, for the same steps as in the embodiment of fig. 2, details are not repeated in the embodiment of fig. 3, and related contents may refer to the embodiment of fig. 2.
In the recommendation method provided by the embodiment of the application, the target planning information is determined, the plurality of target service categories are determined based on the target planning information, the plurality of candidate service items are selected from the service items corresponding to the target service categories, the matched candidate service items in the plurality of candidate service items are combined to obtain one or more groups of candidate service packages, and the candidate service packages are recommended. Therefore, the matching efficiency of the service items is improved, and the recommendation efficiency of the service package is further improved.
FIG. 4 is a flowchart illustrating another recommendation method according to an exemplary embodiment detailing the process of combining matching candidate business items, as shown in FIG. 4, which may be applied in a server, including the steps of:
in step 401, target planning information is determined.
In step 402, a plurality of target traffic classes are determined based on the target planning information.
In step 403, a plurality of candidate business items are selected from the business items corresponding to the target business category.
In step 404, a priority corresponding to each target traffic class is determined based on the target planning information.
Generally, in a consuming activity, service items of different service classes may have different priorities, and thus, the priority corresponding to each target service class may be determined based on the target planning information. For example, if the target planning information includes "congregation of classmates at five nights on this week", the target business categories are dining, leisure, and taxi taking, respectively, in order of priority from high to low. For another example, if the target planning information includes "whole family outing on saturday", the target business categories are, in order of priority from high to low, farmhouse, pluck, restaurant, and leisure entertainment, respectively. For another example, if the target planning information includes "lovers' appointments", the target business categories are dining, movies, leisure, shows, and taxi taking, respectively, in order of priority from high to low.
Specifically, in one implementation, a machine learning approach may be used to determine a priority corresponding to each of a plurality of target traffic classes. In another implementation manner, priorities of service classes in different scenarios may also be preset and stored. The priorities corresponding to the service classes in different scenes can be searched based on the pre-stored data.
It can be understood that the priority corresponding to the target service class may also be determined in any other reasonable manner, which is not limited in this respect.
In step 405, the matching candidate service items in the plurality of candidate service items are combined in an iterative update manner according to the priority.
In this embodiment, the matching candidate service items in the plurality of candidate service items may be combined in an iterative update manner according to the priority. Specifically, first, the traffic class having the highest priority among the target traffic classes may be determined as the first class. And determining the service class except the first class in the target service class as a second class. And generating one or more initial service packages by using the candidate service items corresponding to the first category.
And then, traversing the second category according to the sequence of the priority from high to low, adopting the candidate service items corresponding to the second category, and iteratively updating the current service package. For any traversed second category, the target service item matched with each current service package can be respectively selected from the candidate service items corresponding to the second category. For any current service package, the selected target service item matched with the service package can be merged and added into the service package.
In this embodiment, for any current service package, a target service item matched with the service package may be selected from candidate service items corresponding to the traversed second category in the following manner: first, a screening condition corresponding to the service package is determined, where the screening condition may be determined based on information such as time and location related to a service item in the service package. And then, selecting candidate service items meeting the screening condition from the candidate service items corresponding to the second category as reference items. If the reference item is one, the reference item may be determined as a target business item. If the reference item is multiple, the reference item with the highest item score can be selected as the target business item. And finally, merging the target service item and adding the target service item into the service package so as to update the service package.
For example, in the implementation manner of the present embodiment, first, the target traffic classes may be ranked in order of priority from high to low. And taking the target service class with the highest priority as a first class, and taking the rest target service classes as a second class. And constructing an initial package array by adopting the candidate service items corresponding to the first class, wherein each element of the initial package array can be used for representing each initial service package. Each element of the initial package array may be formed by an identifier of a candidate service item corresponding to the first category and a item score corresponding to the candidate service item.
And traversing each second category from high to low according to the priority, so as to adopt the candidate service items corresponding to the second category, and iteratively update the current package array. When updating for the first time, the current package array is the initial package array. When the package array is not updated for the first time, the current package array is the package array updated for the last time.
Specifically, for any traversed second category, a matched target service item may be searched for each element in the current package array from the candidate service items corresponding to the second category. And merging the target service item with the corresponding element in the current package array (i.e. merging the identifier and item score of the target service item into the element). When traversal is complete, each element of the package array may be used to represent a service package.
It should be noted that, an item score for the user may be set in advance for each business item, and the item score may be used to represent the possibility that the user is interested in the business item, and the larger the item score is, the more likely the user is interested in the business item. A project score for each business project for the user may be determined based on the user's goal planning information and the user profile information. It will be appreciated that the project score for each business project for a user may be determined in any reasonable manner, and the specific manner of determining the project score is not limited in this application.
In step 406, the alternative service package is recommended.
It should be noted that, for the same steps as in the embodiments of fig. 2 to fig. 3, details are not repeated in the embodiment of fig. 4, and related contents can refer to the embodiments of fig. 2 to fig. 3.
In the recommendation method provided by the above embodiment of the application, the target planning information is determined, the multiple target service categories are determined based on the target planning information, multiple candidate service items are selected from the service items corresponding to the target service categories, the priority corresponding to each target service category is determined based on the target planning information, the matched candidate service items in the multiple candidate service items are combined in an iterative update manner according to the priorities, and the candidate service package is recommended. Therefore, the matching efficiency of the service items is further improved, and the recommendation efficiency of the service package is improved.
FIG. 5 is a flow chart illustrating another method of recommending alternative service packages, according to an exemplary embodiment, as shown in FIG. 5, which describes a process of recommending alternative service packages, which may be applied in a server, including the steps of:
in step 501, target planning information is determined.
In step 502, one or more sets of alternative service packages are determined based on the target planning information, each set of alternative service packages including a plurality of service items.
In step 503, if the candidate service packages are multiple groups, package scores corresponding to each group of candidate service packages are determined, and the package scores are determined based on the item scores of the service items corresponding to the candidate service packages.
In this embodiment, a project score for the user may be set in advance for each business project, the project score may be used to represent the possibility that the user is interested in the business project, and the greater the project score is, the more likely the user is interested in the business project. A project score for each business project for the user may be determined based on the user's goal planning information and the user profile information.
In this embodiment, for any group of alternative service packages, a weighted sum of item scores of service items corresponding to the group of alternative service packages may be calculated, and the weighted sum is used as a package score corresponding to the group of alternative service packages.
In step 504, based on package scores corresponding to each group of alternative service packages, the alternative service packages are recommended.
In an implementation manner, the alternative service packages and package scores corresponding to each group of alternative service packages may be returned to the client as recommendation information. And displaying the alternative service packages by the client according to the sequence of the package scores corresponding to the alternative service packages from large to small.
In another implementation manner, the alternative service packages may also be sorted in the order of package scores from large to small, and the alternative service packages are returned to the client according to the sorting. And displaying the alternative service packages by the client according to the sequence.
It should be noted that, for the same steps as in the embodiments of fig. 2 to fig. 4, description is not repeated in the embodiment of fig. 5, and related contents may refer to the embodiments of fig. 2 to fig. 4.
In the recommendation method provided by the above embodiment of the application, by determining the target planning information, one or more groups of alternative service packages are determined based on the target planning information, each group of alternative service packages includes a plurality of service items, if the alternative service packages are multiple groups, package scores corresponding to each group of alternative service packages are determined, the package scores are determined based on the item scores of the service items corresponding to the alternative service packages, and the alternative service packages are recommended based on the package scores corresponding to each group of alternative service packages. The alternative service packages can be recommended based on package scores corresponding to the alternative service packages, so that the recommendation accuracy is improved.
In some optional embodiments, the recommendation method may further include: and determining a target service package selected from the alternative service packages, determining a journey plan based on the target service package, and sending the journey plan.
In this embodiment, the user may select the target service package from the alternative service packages through the client, and the client may send the selection result of the user to the server. The server may determine a trip plan based on the target business suite selected by the user, which may include a trip route and/or a trip alert. The server may then return the trip plan to the client, and the client performs the corresponding operation for the trip plan.
It should be noted that although in the above embodiments, the operations of the methods of the present application were described in a particular order, this does not require or imply that these operations must be performed in that particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Rather, the steps depicted in the flowcharts may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
As shown in fig. 6, fig. 6 is a flowchart illustrating a recommendation method according to an exemplary embodiment, which may be applied to a client, which may be installed on a terminal device of a user. Those skilled in the art will appreciate that the terminal device may include, but is not limited to, a mobile terminal device such as a smartphone, a smart wearable device, a tablet computer, a personal digital assistant, and the like. The method comprises the following steps:
in step 601, a preset interface is output.
In step 602, target planning information input through the preset interface is determined, wherein the target planning information comprises a consumption activity scene and a consumption activity condition.
In this embodiment, the client may output a preset interface on the preset interface, and the user may input the target planning information through the preset interface. The user can input the target planning information in a text form through the preset interface, can input the target planning information in a voice form through the preset interface, and can select the target planning information from alternative options through the preset interface. It is to be appreciated that the target planning information can be any form of information and is not limited in this respect.
In this embodiment, the target planning information may be planning information input by the user through the client according to the consumption activity plan. The goal planning information may include, but is not limited to, consumption activity scenarios, consumption activity conditions, and the like.
In this embodiment, the consumption activity scene may include the form and type of the consumption activity. For example, the consumption activity scenes may include, but are not limited to, a multi-person party scene, a lovers' appointment scene, a single-person leisure scene, a weekend gathering scene, a holiday outing scene, and the like. The consumption event conditions may include, but are not limited to, an expected time of the consumption event, an expected location of the consumption event, and a budget of the consumption event, among others.
In step 603, one or more groups of alternative service packages are obtained based on the target planning information, and each group of alternative service packages includes a plurality of service items.
In this embodiment, after the user inputs the target planning information through the client for the planned consumption activities, the client may send a request carrying the target planning information to the server, and the server may obtain the target planning information from the request. The server determines one or more groups of alternative service packages and returns alternative service packages, and the client can receive the alternative service packages returned by the server.
In step 604, the alternative service package is output.
In this embodiment, the client may output the alternative service packages according to a preset order, for example, the alternative service packages may be displayed according to a descending order of package scores corresponding to the alternative service packages. And displaying the alternative service packages according to the corresponding heat sequence of the alternative service packages. It is to be understood that the present application is not limited to the specific order in which the above alternative service packages are output.
In the recommendation method provided by the above embodiment of the present application, a preset interface is output, target planning information input through the preset interface is determined, the target planning information includes a consumption activity scene and a consumption activity condition, one or more groups of alternative service packages are obtained based on the target planning information, each group of alternative service packages includes a plurality of service items, and the alternative service packages are output. Therefore, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, and the usability of the client is improved.
Fig. 7 is a flow chart illustrating another recommendation method according to an exemplary embodiment, as shown in fig. 7, which describes a process after outputting an alternative service package, and the method can be applied to a client, and includes the following steps:
in step 701, a default interface is output.
In step 702, target planning information input through the preset interface is determined, wherein the target planning information comprises a consumption activity scene and a consumption activity condition.
In step 703, one or more groups of alternative service packages are obtained based on the target planning information, where each group of alternative service packages includes a plurality of service items.
In step 704, the alternative service package is output.
In step 705, a target service package selected from the above alternative service packages is determined.
In step 706, a trip plan for the target business package is determined.
In this embodiment, the user may select the target service package from the alternative service packages through the client, and the client may send the selection result of the user to the server. The server may determine a trip plan based on the target business suite selected by the user, which may include a trip route and/or a trip alert. The server may then return the trip plan to the client, and the client may perform corresponding operations with respect to the trip plan.
In step 707, an operation corresponding to the trip planning is performed.
In this embodiment, if the trip plan includes a trip route, the client may display the trip route to the user. If the trip plan includes a trip reminder, the client may remind the user during the trip based on the trip reminder.
It should be noted that, for the same steps as in the embodiment of fig. 6, details are not repeated in the embodiment of fig. 7, and related contents may refer to the embodiment of fig. 6.
In the recommendation method provided by the above embodiment of the application, the target planning information input through the preset interface is determined through the output preset interface, the target planning information includes a consumption activity scene and a consumption activity condition, one or more groups of alternative service packages are obtained based on the target planning information, each group of alternative service packages includes a plurality of service items, the alternative service packages are output, the target service packages selected from the alternative service packages are determined, the route planning for the target service packages is determined, and the operation corresponding to the route planning is executed. Therefore, when the user plans the consumption activities, the user does not need to manually select and match a plurality of service projects, the travel plan can be further obtained according to the target service package selected by the user, and the usability of the client is further improved.
Corresponding to the embodiment of the recommendation method, the application also provides an embodiment of a recommendation device.
As shown in fig. 8, fig. 8 is a block diagram of a recommendation device according to an exemplary embodiment of the present application, and the device may include: a first determination module 801, a second determination module 802 and a recommendation module 803.
The first determining module 801 is configured to determine target planning information.
A second determining module 802, configured to determine one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes a plurality of service items.
And the recommending module 803 is used for recommending the alternative service package.
As shown in fig. 9, fig. 9 is a block diagram of another recommendation apparatus according to an exemplary embodiment of the present application, where on the basis of the foregoing embodiment shown in fig. 8, the second determining module 802 may include: determining submodule 901, selecting submodule 902 and combining submodule 903.
The determining submodule 901 is configured to determine a plurality of target service classes based on the target planning information.
The selecting sub-module 902 is configured to select a plurality of candidate service items from the service items corresponding to the target service category.
And the combining sub-module 903 is configured to combine the matched candidate service items in the multiple candidate service items to obtain one or more groups of candidate service packages.
As shown in fig. 10, fig. 10 is a block diagram of another recommendation apparatus shown in this application according to an exemplary embodiment, and on the basis of the foregoing embodiment shown in fig. 9, the combining sub-module 903 may include: an ordering sub-module 1001 and an iterating sub-module 1002.
The sorting submodule 1001 is configured to determine, based on the target planning information, a priority corresponding to each target service category.
And the iteration submodule 1002 is configured to combine the matched candidate service items in an iterative update manner according to the priority.
As shown in fig. 11, fig. 11 is a block diagram of another recommendation apparatus according to an exemplary embodiment of the present application, and based on the foregoing embodiment shown in fig. 10, the iteration sub-module 1002 may include: a classification sub-module 1101, a generation sub-module 1102 and an update sub-module 1103.
The classification sub-module 1101 is configured to determine a first class with the highest priority in the target service classes, and a second class other than the first class in the target service classes.
The generating sub-module 1102 is configured to generate one or more initial service packages using the candidate service items corresponding to the first category.
And the updating sub-module 1103 is configured to traverse the second category according to the order of the priorities from high to low, and iteratively update the current service package by using the candidate service items corresponding to the second category.
In some optional embodiments, for any one of the second categories, the updating sub-module 1103 may update the current service package by using the candidate service item corresponding to the second category as follows: and aiming at each current service package, selecting matched target service items from the candidate service items corresponding to the second category, and merging the target service items and adding the target service items into the matched service packages so as to update the current service packages.
In other alternative embodiments, for any current service package, the updating sub-module 1103 may select a matching target service item from the candidate service items corresponding to the second category by: and determining the screening condition corresponding to the service package, and selecting the reference item meeting the screening condition from the candidate service items corresponding to the second category. And if the reference item is one, determining the reference item as a target service item. And if the reference items are multiple, selecting the reference item with the highest item score as the target service item.
In other alternative embodiments, the recommendation module 803 is configured to: when the alternative service packages are in multiple groups, package scores corresponding to each group of alternative service packages are determined, the package scores are determined based on the item scores of the service items corresponding to the alternative service packages, and the alternative service packages are recommended based on the package scores corresponding to each group of alternative service packages.
In some other optional embodiments, for any group of alternative service packages, the package score corresponding to the group of alternative service packages is a weighted sum of the item scores of the service items corresponding to the group of alternative service packages.
As shown in fig. 12, fig. 12 is a block diagram of another recommendation apparatus shown in this application according to an exemplary embodiment, which may further include, on the basis of the foregoing embodiment shown in fig. 8: a third determination module 804, a fourth determination module 805, and a sending module 806.
The third determining module 804 is configured to determine to select a target service package from the optional service packages.
A fourth determining module 805 for determining a trip plan based on the target business package.
A sending module 806, configured to send the itinerary plan.
In other alternative embodiments, the itinerary plan may include itinerary routes and/or itinerary reminders.
It should be understood that the above-mentioned device may be preset in the server, and may also be loaded into the server by downloading or the like. The corresponding modules in the above-described apparatus may cooperate with modules in the server to implement the recommendation.
As shown in fig. 13, fig. 13 is a block diagram of a recommendation device according to an exemplary embodiment of the present application, and the device may include: a first output module 1301, a first determination module 1302, an acquisition module 1303, and a second output module 1304.
The first output module 1301 is configured to output a preset interface.
A first determining module 1302, configured to determine target planning information input through the preset interface, where the target planning information may include a consumption activity scenario and a consumption activity condition.
An obtaining module 1303, configured to obtain one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes multiple service items.
And a second output module 1304, configured to output the alternative service package.
As shown in fig. 14, fig. 14 is a block diagram of another recommendation apparatus shown in this application according to an exemplary embodiment, and on the basis of the foregoing embodiment shown in fig. 13, the apparatus may further include: a second determination module.
The second determining module 1305 is configured to determine a target service package selected from the candidate service packages.
A third determining module 1306, configured to determine a route plan for the target service package.
An executing module 1307 is configured to execute the operation corresponding to the trip planning.
In some optional embodiments, the trip plan may include a trip route and/or a trip reminder.
It should be understood that the above-mentioned apparatus may be preset in the terminal device, and may also be loaded into the terminal device by downloading or the like. The corresponding modules in the device can be matched with the modules in the terminal equipment to realize the recommendation scheme.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
An embodiment of the present application further provides a computer-readable storage medium, where the storage medium stores a computer program, and the computer program may be used to execute the recommendation method provided in any one of the embodiments of fig. 2 to 7.
Corresponding to the recommendation method described above, an embodiment of the present application further provides a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application, shown in fig. 15. Referring to fig. 15, at the hardware level, the electronic device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory, but may also include hardware required for other services. The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the recommendation device on a logic level. Of course, besides the software implementation, the present application does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (14)
1. A recommendation method, characterized in that the method comprises:
determining target planning information, wherein the target planning information comprises consumption activity scenes and consumption activity conditions; the consumption activity scene comprises the form and the type of consumption activity; the consumption activity conditions include an expected time of the consumption activity, an expected location of the consumption activity, and a budget of the consumption activity;
determining one or more groups of alternative service packages based on the target planning information, wherein each group of alternative service packages comprises a plurality of service items;
recommending the alternative service package;
wherein the determining one or more groups of alternative service packages based on the target planning information comprises:
determining a plurality of target traffic classes based on the target planning information;
selecting a plurality of candidate business items from the business items corresponding to the target business category;
combining the matched candidate service items in the candidate service items to obtain one or more groups of candidate service packages;
the combining the matched candidate service items in the plurality of candidate service items includes:
determining a corresponding priority of each target business category in the consumption activity scene based on the target planning information; the priorities of the service classes under different consumption activity scenes are stored in advance;
combining the matched candidate service items in an iterative updating mode according to the priority;
the recommending the alternative service package comprises:
if the alternative service packages are in multiple groups, determining package scores corresponding to the alternative service packages in each group, wherein the package scores are determined based on the item scores of the service items corresponding to the alternative service packages; the item score is used for representing the possibility that the user is interested in the business item; the project score is determined according to target planning information of a user and user portrait information;
and recommending the alternative service packages based on package scores corresponding to each group of alternative service packages.
2. The method of claim 1, wherein said combining said matched candidate service items by iterative updating according to said priority comprises:
determining a first class with the highest priority in the target service classes and a second class except the first class in the target service classes;
generating one or more initial service packages by using the candidate service items corresponding to the first category;
and traversing the second category according to the sequence of the priority from high to low, and iteratively updating the current service package by adopting the candidate service items corresponding to the second category.
3. The method according to claim 2, wherein for any one of the second categories, the current service package is updated by using the candidate service item corresponding to the second category as follows:
selecting matched target service items from candidate service items corresponding to the second category aiming at each current service package;
and merging the target service items and adding the target service items into the matched service package so as to update the current service package.
4. The method according to claim 3, wherein for any current service package, the matched target service item is selected from the candidate service items corresponding to the second category by:
determining a screening condition corresponding to the service package;
selecting a reference item meeting the screening condition from the candidate service items corresponding to the second category;
if the reference item is one, determining the reference item as the target service item;
and if the number of the reference items is multiple, selecting the reference item with the highest item score as the target service item.
5. The method of claim 1, wherein for any set of alternative service packages, the package score corresponding to the set of alternative service packages is a weighted sum of item scores of service items corresponding to the set of alternative service packages.
6. The method according to any one of claims 1-5, further comprising:
determining a target service package selected from the alternative service packages;
determining a trip plan based on the target business package;
and sending the travel plan.
7. The method of claim 6, wherein the trip plan comprises a trip route and/or a trip reminder.
8. A recommendation method, characterized in that the method comprises:
outputting a preset interface;
determining target planning information input through the preset interface; the target planning information comprises consumption activity scenes and consumption activity conditions; the consumption activity scene comprises the form and the type of consumption activity; the consumption activity conditions include an expected time of the consumption activity, an expected location of the consumption activity, and a budget of the consumption activity;
acquiring one or more groups of alternative service packages based on the target planning information, wherein each group of alternative service packages comprises a plurality of service items;
outputting the alternative service package;
wherein the obtaining one or more groups of alternative service packages based on the target planning information includes:
determining a plurality of target traffic classes based on the target planning information;
selecting a plurality of candidate business items from the business items corresponding to the target business category;
combining the matched candidate service items in the candidate service items to obtain one or more groups of candidate service packages;
the combining the matched candidate service items in the plurality of candidate service items includes:
determining a corresponding priority of each target business category in the consumption activity scene based on the target planning information; the priorities of the service classes under different consumption activity scenes are stored in advance;
combining the matched candidate service items in an iterative updating mode according to the priority;
the outputting the alternative service package includes:
if the alternative service packages are in multiple groups, determining package scores corresponding to the alternative service packages in each group, wherein the package scores are determined based on the item scores of the service items corresponding to the alternative service packages; the item score is used for representing the possibility that the user is interested in the business item; the project score is determined according to target planning information of a user and user portrait information;
and outputting the alternative service packages based on package scores corresponding to each group of alternative service packages.
9. The method of claim 8, further comprising:
determining a target service package selected from the alternative service packages;
determining a trip plan for the target business package;
and executing the operation corresponding to the travel plan.
10. The method of claim 9, wherein the trip plan comprises a trip route and/or a trip reminder.
11. A recommendation device, characterized in that the device comprises:
a first determination module for determining target planning information; the target planning information comprises consumption activity scenes and consumption activity conditions; the consumption activity scene comprises the form and the type of consumption activity; the consumption activity conditions include an expected time of the consumption activity, an expected location of the consumption activity, and a budget of the consumption activity;
a second determining module, configured to determine one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes a plurality of service items;
the recommending module is used for recommending the alternative service package;
the second determining module is specifically configured to determine a plurality of target service categories based on the target planning information; selecting a plurality of candidate business items from the business items corresponding to the target business category; determining the corresponding priority of each target business category in the consumption activity scene based on the target planning information; the priorities of the service classes under different consumption activity scenes are stored in advance; combining the matched candidate service items in an iterative updating mode according to the priority to obtain one or more groups of alternative service packages;
the recommending module is specifically configured to determine a package score corresponding to each group of alternative service packages if the alternative service packages are multiple groups, where the package score is determined based on a project score of a service project corresponding to the alternative service package; the item score is used for representing the possibility that the user is interested in the business item; the project score is determined according to target planning information of a user and user portrait information;
and recommending the alternative service packages based on package scores corresponding to each group of alternative service packages.
12. A recommendation device, characterized in that the device comprises:
the first output module is used for outputting a preset interface;
the first determining module is used for determining the target planning information input through the preset interface; the target planning information comprises consumption activity scenes and consumption activity conditions; the consumption activity scene comprises the form and the type of consumption activity; the consumption activity conditions include an expected time of the consumption activity, an expected location of the consumption activity, and a budget of the consumption activity;
an obtaining module, configured to obtain one or more groups of alternative service packages based on the target planning information, where each group of alternative service packages includes a plurality of service items;
the second output module is used for outputting the alternative service package;
the obtaining module is specifically configured to determine a plurality of target service categories based on the target planning information; selecting a plurality of candidate business items from the business items corresponding to the target business category; determining a corresponding priority of each target business category in the consumption activity scene based on the target planning information; the priorities of the service classes under different consumption activity scenes are stored in advance; combining the matched candidate service items in an iterative updating mode according to the priority; obtaining one or more groups of alternative service packages;
the second output module is specifically configured to, if the alternative service packages are in multiple groups, determine package scores corresponding to the alternative service packages in each group, where the package scores are determined based on item scores of service items corresponding to the alternative service packages; the item score is used for representing the possibility that the user is interested in the business item; the project score is determined according to target planning information of a user and user portrait information; and outputting the alternative service packages based on package scores corresponding to each group of alternative service packages.
13. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when being executed by a processor, carries out the method of any of the preceding claims 1-10.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-10 when executing the program.
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