CN113592401A - Address recommendation method, system, device and storage medium - Google Patents
Address recommendation method, system, device and storage medium Download PDFInfo
- Publication number
- CN113592401A CN113592401A CN202110870473.7A CN202110870473A CN113592401A CN 113592401 A CN113592401 A CN 113592401A CN 202110870473 A CN202110870473 A CN 202110870473A CN 113592401 A CN113592401 A CN 113592401A
- Authority
- CN
- China
- Prior art keywords
- address
- user
- alternative
- receiving
- commodity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012216 screening Methods 0.000 claims description 13
- 239000011159 matrix material Substances 0.000 claims description 9
- 238000005065 mining Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims 2
- 235000013399 edible fruits Nutrition 0.000 description 11
- 238000012545 processing Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 235000011888 snacks Nutrition 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 235000019504 cigarettes Nutrition 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 239000009700 ping-tang Substances 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
- 235000014101 wine Nutrition 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0836—Recipient pick-ups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
Abstract
The invention provides an address recommendation method, a system, equipment and a storage medium, wherein the method comprises the following steps: acquiring a first address of a user; inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address; inquiring in a user database to obtain a user address corresponding to the first address; calling a navigation map interface, and calculating a walking navigation distance between the alternative receiving address and the user address as a receiving distance corresponding to the alternative receiving address; and pushing the alternative receiving address and the corresponding receiving distance to a user terminal. When the alternative receiving address is pushed, the corresponding receiving distance is pushed at the same time, and the receiving distance is obtained according to the actual walking navigation distance, so that the user can conveniently check and select, can quickly know the distance cost when different alternative receiving addresses are selected, and can quickly make a decision on the receiving address, thereby improving the ordering efficiency and the use experience of the user.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to an address recommendation method, system, device, and storage medium.
Background
In the prior art, in the case that a plurality of addresses are available for the user to select, part of the users may not be familiar with the addresses and often do not know which address is wanted. For example, in the scene of community group purchase, a user may select an ambiguous address, such as a certain cell, and the system may automatically recommend a series of nearby pickup addresses, but generally only information such as address distance (linear distance) set by the user, whether a cold chain is supported, and the like is labeled, and the user does not know which recipient address belongs to the most suitable recipient address for the first time. The straight line distance does not reflect the real distance between the user and the pick-up address.
Disclosure of Invention
The invention aims to provide an address recommendation method, system, device and storage medium, which are used for pushing a corresponding receiving distance when pushing an alternative receiving address, wherein the receiving distance is obtained according to an actual walking navigation distance, so that a user can check and select conveniently, and the ordering efficiency and the use experience of the user are improved.
The embodiment of the invention provides an address recommendation method, which comprises the following steps:
acquiring a first address of a user;
inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address;
inquiring in a user database to obtain a user address corresponding to the first address;
calling a navigation map interface, and calculating a walking navigation distance between the alternative receiving address and the user address as a receiving distance corresponding to the alternative receiving address;
and pushing the alternative receiving address and the corresponding receiving distance to a user terminal.
In some embodiments, the obtaining the first address of the user includes the following steps:
receiving a first address keyword input by a user;
and obtaining a first address according to the first address keyword matching.
In some embodiments, the querying the shipping address database to obtain the alternative shipping address corresponding to the first address includes the following steps:
acquiring a target commodity type;
acquiring a commodity storage condition according to the commodity type;
and inquiring the receiving address database to obtain the alternative receiving address which has the linear distance with the first address within the preset distance range and meets the commodity storage condition.
In some embodiments, the method further comprises the following steps before the step of calling the navigation map interface and calculating the walking navigation distance between the alternative shipping address and the user address:
judging whether a second address input by a user is received;
if so, calling a navigation map interface, calculating a first navigation distance from the second address to the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and taking the sum of the first navigation distance and the second step row navigation distance as the receiving distance corresponding to the alternative receiving address.
In some embodiments, before calculating the first navigation distance from the second address to the alternative shipping address, the method further comprises:
judging whether the walking navigation distance from the second address to the user address is smaller than a second distance threshold value or not;
if so, calculating a first step row navigation distance from the second address to the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and taking the sum of the first step row navigation distance and the second step row navigation distance as the receiving distance corresponding to the alternative receiving address.
In some embodiments, after determining whether the walking navigation distance from the second address to the user address is less than a second distance threshold, the method further comprises the following steps:
if the walking navigation distance from the second address to the user address is larger than or equal to a second distance threshold value, calculating a navigation route from the second address to a vehicle taking the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and pushing the alternative receiving address, the navigation route between the alternative receiving address and the second step row navigation distance to a user terminal.
In some embodiments, the pushing the alternative delivery address and the corresponding delivery distance to the user terminal includes the following steps:
obtaining the value of at least one sequencing factor of each alternative receiving address;
weighting and summing the values of the sorting factors to obtain the recommended value of the corresponding alternative receiving address;
sorting the alternative receiving addresses according to the recommended values of the alternative receiving addresses;
and pushing the sorted alternative receiving addresses and the corresponding receiving distances to a user terminal.
In some embodiments, the ranking factors include at least one of a shipping distance for the alternative shipping address, historical evaluation data for the alternative shipping address, and a consumption relevance between the alternative shipping address and a user.
In some embodiments, the consumption association between the alternative shipping address and the user is obtained by the following steps:
inquiring in the receiving address database to obtain the commodity type corresponding to each alternative receiving address;
querying the user database to obtain historical consumption data of the user;
and acquiring the consumption association degree between each alternative receiving address and the user according to the historical consumption data of the user and the commodity type of each alternative receiving address.
In some embodiments, querying the user database for historical consumption data of the user comprises:
acquiring a target commodity type;
querying one or more commodity types with the highest purchasing frequency of a user within a preset time range in a user database as alternative commodity types;
acquiring commodity association degrees between the candidate commodity types and the target commodity types, and deleting the candidate commodity types of which the commodity association degrees with the target commodity types do not accord with preset commodity screening conditions;
and taking the remaining alternative commodity types as historical consumption data of the user.
In some embodiments, the calculating the consumption association degree between each alternative receiving address and the user includes acquiring the commodity association degree between the commodity type of each alternative receiving address and the alternative commodity type of the user as the corresponding consumption association degree.
Before acquiring the commodity association degree between the commodity type of each alternative receiving address and the alternative commodity type of the user in some embodiments, the method further includes the following steps:
and calculating the commodity association degree between every two commodity types in the m commodity types by adopting a preset association rule mining algorithm to obtain a commodity association degree matrix, wherein in the commodity association degree matrix, the numerical value of the ith row and the jth column represents the commodity association degree between the ith commodity and the jth commodity, i belongs to (1, m), and j belongs to (1, m).
The embodiment of the invention also provides an address recommendation system, which is applied to the address recommendation method, and the system comprises the following components:
the information acquisition module is used for acquiring a first address of a user;
the address screening module is used for inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address;
the address query module is used for querying a user database to obtain a user address corresponding to the first address;
the address recommendation module is used for calling a navigation map interface, calculating a walking navigation distance between the alternative goods receiving address and the user address, and taking the walking navigation distance as a goods receiving distance corresponding to the alternative goods receiving address; and pushing the alternative receiving address and the corresponding receiving distance to the user terminal.
An embodiment of the present invention further provides an address recommendation device, including:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the address recommendation method via execution of the executable instructions.
The embodiment of the invention also provides a computer-readable storage medium for storing a program, and the program realizes the steps of the address recommendation method when being executed by a processor.
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 disclosure.
The address recommendation method, the system, the equipment and the storage medium have the following beneficial effects:
the method comprises the steps of firstly obtaining a first address of a user, obtaining an alternative receiving address which can be selected by the user, such as an address of a selectable self-picking point, then obtaining the address of the user, calculating a walking navigation distance between the alternative receiving address and the address of the user to be used as a receiving distance, and simultaneously pushing the corresponding receiving distance when the selectable alternative receiving address is pushed. The receiving distance is obtained according to the actual walking navigation distance instead of the traditional straight-line distance, so that the user can conveniently check and select, the user can more quickly know the distance cost when different alternative receiving addresses are selected, and the decision of the receiving address is more quickly carried out, thereby improving the ordering efficiency and the use experience of the user.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow chart of an address recommendation method according to an embodiment of the invention;
FIG. 2 is a flowchart of an embodiment of the present invention for obtaining alternative shipping addresses according to predetermined screening criteria;
FIG. 3 is a flow diagram of obtaining a shipping distance when a second address is present in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart illustrating pushing the alternative shipping address and the corresponding shipping distance to a user terminal according to an embodiment of the present invention;
FIG. 5 is a flowchart of obtaining a consumption association between the alternative shipping address and a user, in accordance with an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of an address recommendation system according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an address recommendation device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the steps. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
As shown in fig. 1, an embodiment of the present invention provides an address recommendation method, including the following steps:
s100: acquiring a first address of a user;
s200: inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address, wherein the alternative receiving address can be different self-picking points for example;
s300: inquiring in a user database to obtain a user address corresponding to the first address, wherein the user address refers to a detailed address of a user, and the user address comprises administrative divisions of all levels, cell names/office building names, XX number building XXX rooms and the like;
if the user address corresponding to the first address is not inquired in the user database, the user can be requested to input a specific user address;
s400: calling a navigation map interface, and calculating a walking navigation distance between the alternative receiving address and the user address as a receiving distance corresponding to the alternative receiving address;
s500: and pushing the alternative goods receiving address and the corresponding goods receiving distance to a user terminal, wherein the user terminal is a terminal device used by a user, such as a mobile phone, a tablet computer, a notebook computer, a desktop computer and the like.
The address recommendation method of the invention firstly obtains a first address of a user through step S100, obtains an alternative receiving address which can be selected by the user, such as an address of a selectable self-picking point, through step S200, obtains the user address through step S300, calculates a walking navigation distance between the alternative receiving address and the user address through step S400 to be used as a receiving distance, and simultaneously pushes the corresponding receiving distance when the selectable alternative receiving address is pushed through step S500. The receiving distance is obtained according to the actual walking navigation distance instead of the traditional straight-line distance, so that the user can conveniently check and select, the user can more quickly know the distance cost when different alternative receiving addresses are selected, and the decision of the receiving address is more quickly carried out, thereby improving the ordering efficiency and the use experience of the user.
In this embodiment, the step S100: the method for acquiring the first address of the user comprises the following steps:
receiving a first address keyword input by a user, for example, the user inputs an ambiguous address: the 'Hongmei cell' takes the fuzzy address as a first address key word;
and obtaining a first address according to the first address keyword matching, and providing the first address for a user to select to obtain the first address selected by the user. For example, according to "red plum cell", matching results in "shangning zone pingtang 415 reddens plum cell" in shanghai city. Here, the obtaining of the first address according to the first address keyword matching may be performing keyword matching in an address library, or inputting the keyword into a navigation service system through a navigation map interface by using a navigation map interface, and searching by the navigation service system to obtain the corresponding first address.
In another alternative embodiment, the obtaining of the first address of the user may also be obtaining the first address of the user by obtaining location information of the user terminal. After entering a shopping page of a shopping platform, a user acquires the positioning information of the user terminal to determine a first address of the user.
In yet another alternative embodiment, the obtaining of the first address of the user may be the user directly inputting the first address through the user terminal. In a further alternative embodiment, the first address may also be the same as the user address, i.e. the first address may also be a detailed address, for example including each level of administrative division, cell name/office building name, building XX, etc., or include part of the information in the detailed address, for example including each level of administrative division and cell name/office building name, or including cell name/office building name and building XX, etc.
The address recommendation method can be applied to a server of a shopping platform, such as a group purchase platform server, a take-out platform server, a fresh platform server and the like, and the server can be communicated with a navigation service system through a navigation map interface. In other alternative embodiments, the address recommendation method of the present invention can also be applied to a single server, which can speak and interact with the server of the shopping platform, and can also communicate with the navigation service system through the navigation map interface.
In this embodiment, the first address is an address associated with the user and capable of determining an alternative shipping address, such as a certain cell, a certain office building, a certain square, etc. And the user address is the detailed address of the user. When a user places an order on a shopping platform, a first address keyword can be manually input, then the first address keyword is automatically matched according to the first address keyword, or the user terminal can be positioned, and the first address is determined according to the positioning information. For example, in a community group purchase scenario, taking an alternative receiving address as a self-picking point as an example, in a first situation, a user enters a shopping platform and then inputs a first address keyword, the shopping platform matches the first address according to the first address keyword, or after the user enters the shopping platform, positioning information of a user terminal is acquired to determine the first address, and then the user obtains the alternative picking point according to the first address through steps S200 to S500 and pushes the alternative picking point to the user, and the user selects the self-picking point and then enters a commodity page of a shop corresponding to the self-picking point to place an order. In the second situation, after entering the shopping platform, the user enters a commodity page of a store corresponding to a current default self-picking point for placing an order, in an order confirmation page, if the user selects to switch the self-picking point, the user can input a first address keyword, the first address keyword is matched according to the first address keyword, or positioning information of the user terminal is obtained, the first address is determined according to the positioning information, then the other optional picking points (which can meet the commodity supply requirement in the user order) are obtained according to the first address through steps S200-S500, the obtained first address keyword is pushed to the user, and the user selects a new self-picking point for placing an order.
In this embodiment, in the step S200, the alternative receiving address corresponding to the first address is obtained by querying in the receiving address database, which may be that a mapping relationship between the first address and the alternative receiving address is pre-stored in the receiving address database to perform selection, and then the alternative receiving address corresponding to the first address is selected according to the mapping relationship.
In another embodiment, the alternative receiving address corresponding to the first address may also be obtained by querying in a receiving address database according to a preset screening condition. Specifically, as shown in fig. 2, the step S200 includes the following steps:
s210: acquiring a target commodity type;
the target commodity type is a commodity type to be purchased by the user, in the first case, the commodity type to be purchased by the user can be input by the user, or the commodity type possibly purchased by the user can be analyzed according to historical purchase data of the user in a user database, and in the second case, the target commodity type can be obtained to be a commodity type which is about to be listed when the user joins a shopping cart;
specifically, analyzing the types of the commodities which the user may purchase according to the historical purchase data of the user in the user database, which may include determining the commodity which is purchased most frequently by the user within a preset time range according to the historical purchase data of the user, or determining the commodity which is purchased most frequently by the user within a certain time period (for example, the user frequently purchases vegetable commodities at 3 pm to 5 pm), and the like;
s220: acquiring a commodity storage condition according to the commodity type; for example, for fresh and fresh commodities, the commodity storage condition is that the self-service point has refrigeration capacity, and for commodities needing cool storage, the commodity storage condition is light-proof and heat-proof storage;
s230: and inquiring the receiving address database to obtain the alternative receiving address which has the linear distance with the first address within the preset distance range and meets the commodity storage condition. Namely, the preset screening condition is that the straight-line distance between the alternative receiving address and the first address is within a preset distance range and meets the commodity storage condition.
In another alternative embodiment, the mapping relationship between each alternative shipping address and the first address may also be preset. The preset screening condition may also be that the alternative receiving address has a mapping relationship with the first address, and the alternative receiving address satisfies the commodity storage condition.
In this embodiment, the user may also be enabled to enter a new second address, calculate a navigation distance from the second address to each alternative shipping address and then to the user's address. For example, when the user selects a pick-up point, the user may select a pick-up point closer to the home, and the user is still at work when ordering, and therefore still at an office address, and the process of getting the goods is as follows: office address → pick-up point → home address. The office address corresponds to the second address, the house address corresponds to the user address, and the cell name corresponding to the house address is the first address. The second address may include a detailed address, such as XX district XX building XX room XX province XX city XX, XX building XXX room, etc.
As shown in fig. 3, between the steps S300 and S400, the following steps are further included:
s310: judging whether a second address input by a user is received;
if so, continue to step S320: calling a navigation map interface, calculating a first navigation distance from the second address to the alternative receiving address, S330: calculating a second step row navigation distance between the alternative receiving address and the user address, S340: taking the sum of the first navigation distance and the second step navigation distance as a receiving distance corresponding to the alternative receiving address, and continuing to step S500; the goods taking route corresponding to the goods receiving distance is the second address → the alternative goods receiving address → the first address, or the first address → the alternative goods receiving address → the second address;
if not, the steps S400 and S500 are continued, namely the delivery route corresponding to the delivery distance is the alternative delivery address → the first address or the first address → the alternative delivery address.
In this embodiment, the step S320: before calculating the first navigation distance from the second address to the alternative receiving address, the method further comprises the following steps:
judging whether the walking navigation distance from the second address to the user address is smaller than a second distance threshold value, for example, judging whether the walking navigation distance from an office address to a house address is smaller than the second distance threshold value;
if yes, it means that the second address is closer to the user address, the second address is defaulted to the alternative shipping address as being reachable by walking, a first navigation distance from the second address to the alternative shipping address is calculated, a first step row navigation distance from the second address to the alternative shipping address is calculated, and then the step S330 is continued: and calculating a second step row navigation distance between the alternative receiving address and the user address, and in step S340, taking the sum of the first step row navigation distance and the second step row navigation distance as the receiving distance corresponding to the alternative receiving address.
In this embodiment, after determining whether the walking navigation distance from the second address to the user address is smaller than a second distance threshold, the method further includes the following steps:
if the walking navigation distance from the second address to the user address is greater than or equal to a second distance threshold value, the second address is far away from the user address, the default second address and the alternative receiving address are also difficult to directly reach by walking, the navigation route from the second address to the riding vehicle of the alternative receiving address is calculated, then the second step row navigation distance from the alternative receiving address to the user address is calculated, and then in step S500, the alternative receiving address, the navigation route between the second address and the alternative receiving address and the second step row navigation distance are pushed to the user terminal.
In another alternative embodiment, the user may also set the order of the nodes of the pickup route after entering his/her second address. For example, the default pickup route is the second address → the alternative shipping address → the first address, or the first address → the alternative shipping address → the second address. The user may also set the pickup route to be the alternative pickup address → the second address → the first address. At this time, the navigation distance a from each alternative receiving address to the second address needs to be calculated, the navigation distance b from the second address to the first address needs to be calculated, the navigation distance a and the navigation distance b are added to be used as the receiving distance, the navigation distance b only needs to be calculated once as the second address and the first address do not change along with the change of the alternative receiving addresses, and the receiving distance is obtained by adding the navigation distance b after the navigation distance a from each alternative receiving address to the second address is calculated. The user can better evaluate the travel distance cost when different alternative receiving addresses are selected according to the receiving distance.
In this embodiment, the step S500: the alternative receiving addresses and the corresponding receiving distances are pushed to the user terminal, the alternative receiving addresses and the corresponding receiving distances can be pushed to the user terminal in a form of an alternative receiving address list in a shopping interface, the receiving distances corresponding to the alternative receiving addresses are listed on the right side of each alternative receiving address in the list, and the receiving time can be further estimated according to the default walking speed.
Further, in this embodiment, in order to further increase the speed of the user's decision when pushing the alternative shipping address and better help the user select a suitable alternative shipping address, the alternative shipping addresses shown in the alternative shipping address list may also be sorted.
As shown in fig. 4, specifically, the step S500 includes the following steps:
s510: obtaining the value of at least one sequencing factor of each alternative receiving address;
s520: weighting and summing the values of the sorting factors to obtain the recommended value of the corresponding alternative receiving address; the weight of each sorting factor can be preset and can be adjusted according to needs, for example, more factors are preferentially considered when the user selects a self-pick-up point according to the historical shopping data of the user, and the weight of the corresponding sorting factor is improved;
s530: sorting the alternative receiving addresses from high to low according to the recommended values of the alternative receiving addresses;
s540: and pushing the sorted alternative receiving addresses and the corresponding receiving distances to a user terminal, wherein the user can preferentially consider the alternative receiving addresses sorted in the front.
In this embodiment, the ranking factors may include, for example, one or more of the following:
the closer the receiving distance is, the higher the score of the corresponding sorting factor is;
the historical evaluation data of the alternative receiving addresses can be combined with the historical evaluation data of a plurality of users on the alternative receiving addresses to comprehensively evaluate the scores of the sorting factors, and the users can evaluate the selected alternative receiving addresses after ordering and receiving are finished, so that the reference of other subsequent users is facilitated;
the consumption association between the alternative shipping address and the user is further described below.
In practical application, other sorting factors can be added, such as the matching degree of the business time of the alternative receiving address and the receiving time of the user, the unit quantity in the preset time period of the alternative receiving address, the evaluation and pick-up waiting time of the alternative receiving address, and the like, and all the sorting factors belong to the protection scope of the invention.
As shown in fig. 5, in this embodiment, the following steps are adopted to obtain the consumption association degree between the alternative shipping address and the user:
s610: querying the receiving address database to obtain the commodity types corresponding to the alternative receiving addresses, for example, for a self-service point, the corresponding commodity types are the types of commodities sold by the self-service point, for example, if one self-service point is a fruit store, the commodity types include fruits, and if one self-service point is a cigarette hotel, the commodity types include cigarettes, wines and the like;
s620: querying the user database to obtain historical consumption data of the user, wherein the historical consumption data of the user specifically comprises commodity types, commodity purchase times, commodity purchase quantity and the like contained in a historical order of the user;
s630: and acquiring the consumption association degree between each alternative receiving address and the user according to the historical consumption data of the user and the commodity type of each alternative receiving address, wherein the higher the consumption association degree is, the higher the score of the ranking factor is.
In this embodiment, the step S620: the historical consumption data of the user is obtained by inquiring the user database, and the type of the alternative commodity which the user may purchase is selected according to the historical order data of the user.
Specifically, the step S200 includes the steps of:
acquiring a target commodity type; the target commodity type is a commodity type to be purchased by the user, in the first case, the commodity type to be purchased by the user can be input by the user, or the commodity type possibly purchased by the user can be analyzed according to historical purchase data of the user in a user database, and in the second case, the target commodity type can be obtained to be a commodity type which is about to be listed when the user joins a shopping cart;
querying one or more commodity types with the highest purchasing frequency of a user within a preset time range in a user database as alternative commodity types;
acquiring commodity association degrees between the candidate commodity types and the target commodity types, and deleting the candidate commodity types of which the commodity association degrees with the target commodity types do not accord with preset commodity screening conditions;
and taking the remaining alternative commodity types as historical consumption data of the user.
In a first implementation manner, the preset commodity screening condition may be, for example, that the commodity association degree between the candidate commodity type and the target commodity type is smaller than a first association degree threshold, where the first association degree threshold may be set as required, and when the commodity association degree between the candidate commodity type and the target commodity type is smaller than the first association degree threshold, the candidate commodity type is substantially different from the target commodity type. That is, querying the user database for the commodity which is frequently purchased by the user but not purchased this time as the alternative commodity type. For example, if a user frequently purchases fruit, but this time fruit is not purchased, the probability that the user needs to purchase fruit is high, and the commodity type of fruit is taken as an alternative commodity type, and the user has a high association with the consumption of the self-service point selling fruit. A user often purchases snacks, and this time also purchases snacks, the user may not purchase a snack again when picking, and no snack is taken as an alternative commodity type, which is less relevant to the consumption of a self-service point selling snacks.
In a second implementation manner, the preset commodity screening condition may be that, for example, the commodity association degree between the candidate commodity type and the target commodity type is greater than a second association degree threshold value, so as to achieve the purpose of draining the self-service point merchants. Here, the second relevance threshold may be set as needed, and when the commodity relevance between the candidate commodity type and the target commodity type is greater than the second relevance threshold, the similarity between the candidate commodity type and the target commodity type is higher. For example, if the user purchases fruit this time, and the user may purchase more fruit when taking goods from the pick-up point, the commodity type of fruit is taken as the alternative commodity type, and the user has a higher consumption association with the pick-up point selling fruit.
The two embodiments described above can be selected according to different needs. For example, after analyzing historical order data of a user, the first embodiment is adopted when it is found that the user generally purchases other types of goods at the pick-up point after purchasing one type of goods. The second embodiment is employed when another user purchases one type of product and sometimes selects the same type of product at a pick-up point.
In the third embodiment, instead of one or more types of commodities that are purchased most frequently by the user within a preset time range, a type of commodity that the user is accustomed to purchasing offline may be selected as the type of commodity to be selected.
Specifically, the step S620: the method for inquiring the historical consumption data of the user in the user database comprises the following steps:
inquiring online order data of a user within a preset time range in a user database; the online order placing refers to an order which is consumed by a user online physical store, is paid by scanning a code, and can be obtained from payment software of the user according to a corresponding online order placing record;
and counting to obtain one or more commodity types with the highest off-line purchase frequency of the subscriber lines according to the off-line order data, wherein the commodity types are used as alternative commodity types.
In this embodiment, the step S630: and calculating the consumption association degree between each alternative receiving address and the user, wherein the consumption association degree between the commodity type of each alternative receiving address and the alternative commodity type of the user is obtained and serves as the corresponding consumption association degree.
Further, before obtaining the commodity association degree between the commodity type of each alternative receiving address and the alternative commodity type of the user, the method further comprises the following steps:
and calculating a commodity association degree between every two commodity types in the m commodity types by adopting a preset association rule mining algorithm, such as an Apriori algorithm and the like, so as to obtain a commodity association degree matrix, wherein in the commodity association degree matrix, the value of the ith row and the jth column represents the commodity association degree between the ith commodity and the jth commodity, i belongs to (1, m), j belongs to (1, m), and when i is equal to j, the value of the ith row and the jth column is 1, i is not equal to j, the value of the ith row and the jth column is the commodity association degree between two different commodities, and the commodity association degree is a value between 0 and 1. Therefore, when the commodity association degree between the commodity type of each alternative receiving address and the alternative commodity type of the user is obtained, the commodity association degree matrix can be directly inquired to obtain the commodity association degree between the two commodity types. For an alternative receiving address, the commodity association degrees corresponding to the commodity types owned by the alternative receiving address can be summed up, or averaged after summing, and the sum is used as the consumption association degree between the alternative receiving address and the user. Similarly, the commodity association degree between the candidate commodity type and the target commodity type may be obtained by querying the commodity association degree matrix to obtain the commodity association degree between the two commodity types.
The above embodiment is to calculate the consumption association degree between the alternative delivery address and the user based on the historical consumption data of the user. In another alternative embodiment, the consumption relevance may not be calculated based on the user's historical consumption data. In the second case, when the user has added the goods desired to be purchased to the shopping cart and prepares to place an order, the consumption association degree between the alternative shipping address and the user may be obtained by obtaining the type of the goods to be placed by the user, which is the type of the target goods, and obtaining the product association degree between the type of the target goods and the types of the goods at the respective alternative shipping addresses to calculate the consumption association degree between the alternative shipping addresses and the user. Here, the commodity association degree between the commodity type of the target commodity and the commodity type of each alternative receiving address may be obtained by querying the commodity association degree matrix to obtain the commodity association degree between the two commodity types, and for one alternative receiving address, the commodity association degrees corresponding to the commodity types owned by the alternative receiving address may be summed up, or averaged after the summation, and the obtained result is used as the consumption association degree between the alternative receiving address and the user.
As shown in fig. 6, an embodiment of the present invention further provides an address recommendation system, which is applied to the address recommendation method, and the system includes:
the information acquisition module M100 is used for acquiring a first address of a user;
the address screening module M200 is used for inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address;
the address query module M300 is configured to query a user database to obtain a user address corresponding to the first address;
the address recommendation module M400 is used for calling a navigation map interface, calculating a walking navigation distance between the alternative receiving address and the user address, and taking the walking navigation distance as a receiving distance corresponding to the alternative receiving address; and pushing the alternative receiving address and the corresponding receiving distance to the user terminal.
The address recommendation system firstly acquires a first address of a user through the information acquisition module M100, acquires an alternative receiving address which can be selected by the user, such as an address of a selectable self-picking point, through the address screening module M200, acquires the user address through the address query module M300, calculates a walking navigation distance between the alternative receiving address and the user address through the address recommendation module M400 to serve as a receiving distance, and simultaneously pushes the corresponding receiving distance when the selectable alternative receiving address is pushed through the address recommendation module M400. The receiving distance is obtained according to the actual walking navigation distance instead of the traditional straight-line distance, so that the user can conveniently check and select, the user can more quickly know the distance cost when different alternative receiving addresses are selected, and the decision of the receiving address is more quickly carried out, thereby improving the ordering efficiency and the use experience of the user.
The address recommendation system can be applied to a server of a shopping platform, such as a group purchase platform, a take-out platform, a fresh platform and the like, and the server can be communicated with a navigation service system through a navigation map interface. In other alternative embodiments, the address recommendation system of the present invention can also be applied to a single server, which can speak and interact with the server of the shopping platform, and can also communicate with the navigation service system through the navigation map interface.
In the address recommendation system of the present invention, the functions of each module may be implemented by using the specific implementation manner of each step in the address recommendation method, which is not described herein again.
The embodiment of the invention also provides address recommendation equipment, which comprises a processor; a memory having stored therein executable instructions of the processor; wherein the processor is configured to perform the steps of the address recommendation method via execution of the executable instructions.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" platform.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 7. The electronic device 600 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 7, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
Wherein the storage unit stores program code executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present invention described in the address recommendation method section above in this specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In the address recommendation device, the program in the memory is executed by the processor to implement the steps of the address recommendation method, so the computer storage medium can also obtain the technical effects of the address recommendation method.
The embodiment of the invention also provides a computer-readable storage medium for storing a program, and the program realizes the steps of the address recommendation method when being executed by a processor. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the invention described in the above-mentioned address recommendation method section of this specification, when the program product is executed on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be executed on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The program in the computer storage medium implements the steps of the address recommendation method when executed by a processor, and therefore the computer storage medium can also obtain the technical effects of the address recommendation method.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (15)
1. An address recommendation method, characterized by comprising the steps of:
acquiring a first address of a user;
inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address;
inquiring in a user database to obtain a user address corresponding to the first address;
calling a navigation map interface, and calculating a walking navigation distance between the alternative receiving address and the user address as a receiving distance corresponding to the alternative receiving address;
and pushing the alternative receiving address and the corresponding receiving distance to a user terminal.
2. The address recommendation method according to claim 1, wherein said obtaining the first address of the user comprises the steps of:
receiving a first address keyword input by a user;
and obtaining a first address according to the first address keyword matching.
3. The address recommendation method according to claim 1, wherein the step of querying a shipping address database for the alternative shipping address corresponding to the first address comprises the steps of:
acquiring a target commodity type;
acquiring a commodity storage condition according to the commodity type;
and inquiring the receiving address database to obtain the alternative receiving address which has the linear distance with the first address within the preset distance range and meets the commodity storage condition.
4. The address recommendation method of claim 1, wherein said invoking a navigation map interface, prior to calculating a walking navigation distance between said alternative shipping address and said user address, further comprises the steps of:
judging whether a second address input by a user is received;
if so, calling a navigation map interface, calculating a first navigation distance from the second address to the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and taking the sum of the first navigation distance and the second step row navigation distance as the receiving distance corresponding to the alternative receiving address.
5. The address recommendation method of claim 4, wherein prior to said calculating a first navigational distance from said second address to said alternate shipping address, further comprising the steps of:
judging whether the walking navigation distance from the second address to the user address is smaller than a second distance threshold value or not;
if so, calculating a first step row navigation distance from the second address to the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and taking the sum of the first step row navigation distance and the second step row navigation distance as the receiving distance corresponding to the alternative receiving address.
6. The address recommendation method of claim 5, wherein after determining whether the walking navigation distance from the second address to the user address is less than a second distance threshold, further comprising:
if the walking navigation distance from the second address to the user address is larger than or equal to a second distance threshold value, calculating a navigation route from the second address to a vehicle taking the alternative receiving address, calculating a second step row navigation distance from the alternative receiving address to the user address, and pushing the alternative receiving address, the navigation route between the alternative receiving address and the second step row navigation distance to a user terminal.
7. The address recommendation method according to claim 1, wherein the step of pushing the alternative shipping address and the corresponding shipping distance to the user terminal comprises the steps of:
obtaining the value of at least one sequencing factor of each alternative receiving address;
weighting and summing the values of the sorting factors to obtain the recommended value of the corresponding alternative receiving address;
sorting the alternative receiving addresses according to the recommended values of the alternative receiving addresses;
and pushing the sorted alternative receiving addresses and the corresponding receiving distances to a user terminal.
8. The address recommendation method of claim 7, wherein the ranking factors comprise at least one of a shipping distance for the alternative shipping address, historical rating data for the alternative shipping address, and a degree of consumption correlation between the alternative shipping address and a user.
9. The address recommendation method of claim 8, wherein the consumption association between the alternative shipping address and the user is obtained by:
inquiring in the receiving address database to obtain the commodity type corresponding to each alternative receiving address;
querying the user database to obtain historical consumption data of the user;
and acquiring the consumption association degree between each alternative receiving address and the user according to the historical consumption data of the user and the commodity type of each alternative receiving address.
10. The address recommendation method of claim 9, wherein the step of querying the user database for historical consumption data of the user comprises the steps of:
acquiring a target commodity type;
querying one or more commodity types with the highest purchasing frequency of a user within a preset time range in a user database as alternative commodity types;
acquiring commodity association degrees between the candidate commodity types and the target commodity types, and deleting the candidate commodity types of which the commodity association degrees with the target commodity types do not accord with preset commodity screening conditions;
and taking the remaining alternative commodity types as historical consumption data of the user.
11. The address recommendation method according to claim 10, wherein the calculating of the consumption association degree between each alternative shipping address and the user comprises obtaining the commodity association degree between the commodity type of each alternative shipping address and the alternative commodity type of the user as the corresponding consumption association degree.
12. The address recommendation method according to claim 11, wherein before obtaining the commodity association degree between the commodity type of each alternative shipping address and the alternative commodity type of the user, the method further comprises the following steps:
and calculating the commodity association degree between every two commodity types in the m commodity types by adopting a preset association rule mining algorithm to obtain a commodity association degree matrix, wherein in the commodity association degree matrix, the numerical value of the ith row and the jth column represents the commodity association degree between the ith commodity and the jth commodity, i belongs to (1, m), and j belongs to (1, m).
13. An address recommendation system applied to the address recommendation method according to any one of claims 1 to 12, the system comprising:
the information acquisition module is used for acquiring a first address of a user;
the address screening module is used for inquiring in a receiving address database to obtain an alternative receiving address corresponding to the first address;
the address query module is used for querying a user database to obtain a user address corresponding to the first address;
the address recommendation module is used for calling a navigation map interface, calculating a walking navigation distance between the alternative goods receiving address and the user address, and taking the walking navigation distance as a goods receiving distance corresponding to the alternative goods receiving address; and pushing the alternative receiving address and the corresponding receiving distance to the user terminal.
14. An electronic device, characterized in that the electronic device comprises:
a processor;
memory on which a computer program is stored which, when executed by the processor, performs the address recommendation method according to any one of claims 1 to 12.
15. A computer storage medium, characterized in that a computer program is stored which, when being executed by a processor, performs the address recommendation method according to any one of claims 1 to 12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110870473.7A CN113592401A (en) | 2021-07-30 | 2021-07-30 | Address recommendation method, system, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110870473.7A CN113592401A (en) | 2021-07-30 | 2021-07-30 | Address recommendation method, system, device and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113592401A true CN113592401A (en) | 2021-11-02 |
Family
ID=78252476
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110870473.7A Pending CN113592401A (en) | 2021-07-30 | 2021-07-30 | Address recommendation method, system, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113592401A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106092120A (en) * | 2016-08-25 | 2016-11-09 | 百度在线网络技术（北京）有限公司 | Air navigation aid and device |
| CN107437156A (en) * | 2016-05-25 | 2017-12-05 | 北大方正集团有限公司 | Ship-to management method and device |
| CN108596728A (en) * | 2018-04-26 | 2018-09-28 | 北京小米移动软件有限公司 | Ship-to providing method and device |
| CN108681868A (en) * | 2018-06-29 | 2018-10-19 | 深圳春沐源控股有限公司 | Recommend the method and system of means of distribution |
| CN109556612A (en) * | 2017-09-26 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of method for processing navigation information, device, server, terminal and storage medium |
| CN109579851A (en) * | 2019-01-17 | 2019-04-05 | 深圳壹账通智能科技有限公司 | It does shopping under a kind of line air navigation aid, device, computer equipment and storage medium |
| CN109711775A (en) * | 2018-12-14 | 2019-05-03 | 北京梧桐车联科技有限责任公司 | A kind of vehicle delivery of cargo system and method and relevant device |
| CN110111059A (en) * | 2019-05-15 | 2019-08-09 | 重庆铜鹰商贸有限公司 | A kind of consignor and consignee are superimposed search method with loglstics enterprise site distance |
| CN110322114A (en) * | 2019-05-23 | 2019-10-11 | 平安城市建设科技(深圳)有限公司 | Cell recommended method, device, equipment and storage medium based on big data |
| CN110388935A (en) * | 2013-03-15 | 2019-10-29 | 苹果公司 | Obtain address |
| CN110555755A (en) * | 2019-08-21 | 2019-12-10 | 浙江数链科技有限公司 | Order generation method and device, computer equipment and storage medium |
| CN110968655A (en) * | 2018-09-29 | 2020-04-07 | 北京京东尚科信息技术有限公司 | Address recognition method and device |
| CN111428933A (en) * | 2020-03-30 | 2020-07-17 | 江苏满运软件科技有限公司 | Logistics address recommendation method, system, equipment and storage medium |
| CN112288527A (en) * | 2020-10-30 | 2021-01-29 | 广州富港万嘉智能科技有限公司 | Commodity self-picking point recommendation method, server and storage medium |
| CN112712311A (en) * | 2020-12-23 | 2021-04-27 | 拉扎斯网络科技（上海）有限公司 | Order distribution method, device and system |
-
2021
- 2021-07-30 CN CN202110870473.7A patent/CN113592401A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110388935A (en) * | 2013-03-15 | 2019-10-29 | 苹果公司 | Obtain address |
| CN107437156A (en) * | 2016-05-25 | 2017-12-05 | 北大方正集团有限公司 | Ship-to management method and device |
| CN106092120A (en) * | 2016-08-25 | 2016-11-09 | 百度在线网络技术（北京）有限公司 | Air navigation aid and device |
| CN109556612A (en) * | 2017-09-26 | 2019-04-02 | 腾讯科技（深圳）有限公司 | A kind of method for processing navigation information, device, server, terminal and storage medium |
| CN108596728A (en) * | 2018-04-26 | 2018-09-28 | 北京小米移动软件有限公司 | Ship-to providing method and device |
| CN108681868A (en) * | 2018-06-29 | 2018-10-19 | 深圳春沐源控股有限公司 | Recommend the method and system of means of distribution |
| CN110968655A (en) * | 2018-09-29 | 2020-04-07 | 北京京东尚科信息技术有限公司 | Address recognition method and device |
| CN109711775A (en) * | 2018-12-14 | 2019-05-03 | 北京梧桐车联科技有限责任公司 | A kind of vehicle delivery of cargo system and method and relevant device |
| CN109579851A (en) * | 2019-01-17 | 2019-04-05 | 深圳壹账通智能科技有限公司 | It does shopping under a kind of line air navigation aid, device, computer equipment and storage medium |
| CN110111059A (en) * | 2019-05-15 | 2019-08-09 | 重庆铜鹰商贸有限公司 | A kind of consignor and consignee are superimposed search method with loglstics enterprise site distance |
| CN110322114A (en) * | 2019-05-23 | 2019-10-11 | 平安城市建设科技(深圳)有限公司 | Cell recommended method, device, equipment and storage medium based on big data |
| CN110555755A (en) * | 2019-08-21 | 2019-12-10 | 浙江数链科技有限公司 | Order generation method and device, computer equipment and storage medium |
| CN111428933A (en) * | 2020-03-30 | 2020-07-17 | 江苏满运软件科技有限公司 | Logistics address recommendation method, system, equipment and storage medium |
| CN112288527A (en) * | 2020-10-30 | 2021-01-29 | 广州富港万嘉智能科技有限公司 | Commodity self-picking point recommendation method, server and storage medium |
| CN112712311A (en) * | 2020-12-23 | 2021-04-27 | 拉扎斯网络科技（上海）有限公司 | Order distribution method, device and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11243992B2 (en) | System and method for information recommendation | |
| US8832115B2 (en) | Ranking real estate based on its value and other factors | |
| US20140218400A1 (en) | Method for Providing Real Estate Data on an Interactive Map | |
| CN110880136A (en) | Recommendation method, system, equipment and storage medium for matched product | |
| CN112612957A (en) | Interest point recommendation method, interest point recommendation model training method and device | |
| CN110750697B (en) | Merchant classification method, device, equipment and storage medium | |
| CN112884224A (en) | Method and device for selecting address of entity object, computing equipment and computer storage medium | |
| CN111612581A (en) | Method, device and equipment for recommending articles and storage medium | |
| US20170178057A1 (en) | Logistics navigation routing using mobile device location capabilities | |
| CN111754278A (en) | Article recommendation method and device, computer storage medium and electronic equipment | |
| CN114581175A (en) | Commodity pushing method and device, storage medium and electronic equipment | |
| CN111914188A (en) | Method, system, device and storage medium for selecting recommendation target user | |
| CN113393306A (en) | Product recommendation method and device, electronic equipment and computer readable medium | |
| CN114943462A (en) | Hotel group data processing method, system, equipment and storage medium | |
| US20200104899A1 (en) | Systems and methods for automated predictive product procurement | |
| CN112348435B (en) | Task pushing method, device, computer equipment and computer readable storage medium | |
| WO2015184606A1 (en) | Method and system for advertisement coordination | |
| CN113129113A (en) | Geo-fence-based store matching method, system, device and storage medium | |
| CN113327151A (en) | Commodity object recommendation method and device, computer equipment and storage medium | |
| CN113592401A (en) | Address recommendation method, system, device and storage medium | |
| WO2015184607A1 (en) | Method and system for advertisement coordination | |
| CN112783468A (en) | Target object sorting method and device | |
| WO2022156589A1 (en) | Method and device for determining live broadcast click rate | |
| CN111581245B (en) | Data searching method and device | |
| CN113094602B (en) | Hotel recommendation method, system, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |