CN113312563B - Information recommendation method, device, equipment and storage medium - Google Patents
Information recommendation method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses an information recommendation method, an information recommendation device, information recommendation equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring an information recommendation area set, wherein the information recommendation area set comprises at least two information recommendation areas; determining at least two areas to be merged with a merging relationship in an information recommendation area set according to the mobile behavior information of the sample user account; combining at least two regions to be combined with a combination relation to obtain a combined region; and sending target information to be recommended to the account of the user to be recommended, wherein the target information to be recommended is the information to be recommended of which the information position belongs to the merging area. By combining the areas to be combined in the information recommendation area set, the areas to which the information to be recommended belongs can be expanded, and the information to be recommended in a certain area can be distributed to another area, so that the number of the information to be recommended received by a user can be enriched, and the problem of too small information amount is avoided.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an information recommendation method, apparatus, device, and storage medium.
Background
An application having a Location Based Services (LBS) function can recommend information to a user for the user to refer to Based on the user Location of the user.
The user location of the user is typically obtained by an application supporting LBS and sent to the server. And the server screens out the information to be recommended corresponding to the position of the user from the database, and sends the information to be recommended to the application program for the user to look up. The distance between the information position of the information to be recommended to the user and the user position of the user is smaller than a distance threshold, and the information position is used for reflecting the position of the service corresponding to the information to be recommended. Such as the location of a restaurant and the location of a hotel, etc.
When the information to be recommended in a certain area is less, the server can recommend less information to the users near the area, so that the user experience is influenced, and the recommended information has limitation.
Disclosure of Invention
The application provides an information recommendation method, device, equipment and storage medium, which can enrich information to be recommended received by a user and avoid the problem of too little information. The technical scheme is as follows:
according to an aspect of the present application, there is provided an information recommendation method, the method including:
acquiring an information recommendation area set, wherein the information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas comprise information positions of information to be recommended;
determining at least two areas to be merged with a merging relationship in the information recommendation area set according to the mobile behavior information of the sample user account;
merging the at least two regions to be merged with the merging relationship to obtain a merged region;
and sending target information to be recommended to the account of the user to be recommended, wherein the current position of the account of the user to be recommended belongs to the merging area, and the target information to be recommended is the information to be recommended, of which the information position belongs to the merging area.
According to another aspect of the present application, there is provided an information recommendation apparatus, the apparatus including:
the information recommendation system comprises an acquisition module, a recommendation module and a recommendation module, wherein the acquisition module is used for acquiring an information recommendation area set, the information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas comprise information positions of information to be recommended;
the determining module is used for determining at least two areas to be merged with a merging relationship in the information recommending area set according to the mobile behavior information of the sample user account;
the merging module is used for merging the at least two areas to be merged with the merging relation to obtain a merged area;
and the recommending module is used for sending target information to be recommended to the account of the user to be recommended, the current position of the account of the user to be recommended belongs to the merging area, and the target information to be recommended is the information to be recommended, the information position of which belongs to the merging area.
In an alternative design, the movement behavior information includes a movement trajectory of the sample user account; the determining module is configured to:
acquiring the moving track of the sample user account;
determining the passing times of the moving track passing between two information recommendation areas in the information recommendation area set;
and determining the two information recommendation areas as the areas to be merged in response to the number of times of passing being greater than a threshold value.
In an optional design, the movement track is obtained by connecting the historical positions of the sample user accounts within the historical duration in pairs according to the collection time sequence of the historical positions; the determining module is configured to:
determining that the passing times of a first information recommendation area and a second information recommendation area are increased once in response to that a first historical position in the moving track belongs to a first information recommendation area, a second historical position in the moving track belongs to a second information recommendation area, and the first historical position and the second historical position are two adjacent positions in the moving track, wherein the first information recommendation area and the second information recommendation area are different areas in the information recommendation area set;
and circularly executing the steps, and determining the passing times of the first information recommendation area and the second information recommendation area.
In an optional design, the obtaining module is configured to:
and aggregating the information positions of the information to be recommended to obtain the information recommendation area set, wherein the information recommendation areas in the information recommendation area set are determined according to the information positions of at least two pieces of information to be recommended, and the information positions point to at least one of the prefecture and the longitude and latitude.
In an alternative design, the obtaining module is configured to:
clustering the information positions of the information to be recommended belonging to the same province by using a noise-based density clustering algorithm to obtain an information recommendation area set;
wherein the neighborhood radius in the parameter of the noise density-based clustering algorithm is determined based on a distance between cities within a province to which the information position belongs, and the core point in the parameter of the noise density-based clustering algorithm defines a threshold value based on the number of the information to be recommended in the province to which the information position belongs.
In an alternative design, the determining module is configured to:
responding to an interest point corresponding to the information to be recommended, and determining the interest point as the information position of the information to be recommended;
and in response to the fact that the information to be recommended does not correspond to the interest points, determining the position of the provider account which uploads the information to be recommended as the information position of the information to be recommended.
In an alternative design, the apparatus further comprises:
the determining module is configured to determine an information density of the information recommendation areas in the information recommendation area set and an area distance between two adjacent information recommendation areas, where the information density is used to reflect an intensity degree of information position distribution of the information to be recommended in the information recommendation areas;
the searching module is used for searching a region adjacent to a third information recommending region in the information recommending region set based on a variable neighborhood searching algorithm to obtain a fourth information recommending region, and the third information recommending region and the fourth information recommending region meet an information density condition and a region distance condition;
the merging module is configured to merge the third information recommendation area and the fourth information recommendation area.
According to another aspect of the present application, there is provided a computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by the processor to implement the information recommendation method as described above.
According to another aspect of the present application, there is provided a computer-readable storage medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which is loaded and executed by a processor to implement the information recommendation method as described above.
According to another aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to execute the information recommendation method provided in the various alternative implementations of the above aspects.
The beneficial effect that technical scheme that this application provided brought includes at least:
by combining the areas to be combined in the information recommendation area set, the areas to which the information to be recommended belongs can be expanded, and the information to be recommended in a certain area can be distributed to another area. The information to be recommended belonging to the merging area is recommended to the user account in the merging area, the quantity of the information to be recommended received by the user can be enriched, and the problem of too small information quantity is avoided. And the area to be merged is determined according to the mobile behavior information of the sample user account, so that the reachability of the user to the information position is considered, the user experience is improved, and the limitation that the information to be recommended is recommended only according to a small-range region is broken through.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a process for making information recommendations as provided by an exemplary embodiment of the present application;
FIG. 2 is a flowchart illustrating an information recommendation method according to an exemplary embodiment of the present application;
FIG. 3 is a flowchart illustrating an information recommendation method according to another exemplary embodiment of the present application;
FIG. 4 is a diagram illustrating an implementation process for determining at least two regions to be merged having a merging relationship according to an exemplary embodiment of the present application;
FIG. 5 is a schematic diagram of an information recommendation interface provided by an exemplary embodiment of the present application;
FIG. 6 is a schematic structural diagram of an information recommendation device according to an exemplary embodiment of the present application;
fig. 7 is a schematic structural diagram of an information recommendation device according to another exemplary embodiment of the present application;
fig. 8 is a schematic structural diagram of a server according to an exemplary embodiment of the present application.
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.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a process for making information recommendations according to an exemplary embodiment of the present application. As shown in fig. 1 (a), the computer device acquires an information position 102 of information to be recommended within a certain province 101. The information to be recommended is generally used for being recommended to a user account located near the information position 102 for reference, and the information position 102 of the information to be recommended is specified by a provider account or is a position where the information to be recommended is uploaded by the provider account. As shown in fig. 1 (b), after the computer device clusters the information position 102 of the information to be recommended by a Noise-Based Density Clustering (DBSCAN) algorithm, an information recommendation area can be obtained. The DBSCAN algorithm can cluster the information positions 102 based on the distribution density of the information positions 102. The neighborhood radius in the parameter is determined based on the distance between cities in the province, and the core point in the parameter defines a threshold value and is determined based on the quantity of information to be recommended belonging to the province. For example, clustering the information locations 102 can result in region one 103, region two 104, region three 105, and region four 106. And then the computer equipment determines a sample user account with the current position at the home from the user accounts in the computer equipment, and determines the moving track of the sample user account according to the historical positions of the sample user accounts in the historical time length. And then when two adjacent historical positions in the moving track respectively belong to two areas in the determined information recommendation areas, the passing times of the two areas are increased once, so that the computer equipment can determine the passing times of the two areas in the information recommendation areas. When the number of passes is greater than the number threshold, the computer device determines the two regions as regions to be merged. As shown in fig. 1 (c), the computer device determines the area two 104 and the area four 107 as the areas to be merged according to the movement track of the sample user account. Then, the regions to be merged are merged to obtain a merged region 107. And recommends the information to be recommended belonging to the merge region to the user account to be recommended in the merge region 107. The information to be recommended, which may not be recommended to the account of the user to be recommended originally, is recommended to the account of the user to be recommended, for example, before the area merging is performed, the account of the user to be recommended in the second area 104 may only be able to receive the information to be recommended, of which the information position 102 belongs to the second area 104.
According to the distribution density of the information positions of the information to be recommended, the information positions are clustered, and the region corresponding to the information to be recommended can be expanded. Different areas are further combined according to the movement tracks of resident users in different areas, and the reachability of the users to the information positions is considered. The information to be recommended belonging to the merging area is recommended to the user account in the merging area, the number of the information to be recommended received by the user can be enriched, the problem of too small information amount is avoided, user experience is improved, and the limitation that the information to be recommended is recommended only according to a small-range region is broken through.
Fig. 2 is a flowchart illustrating an information recommendation method according to an exemplary embodiment of the present application. The method may be used in a computer device. As shown in fig. 2, the method includes:
step 202: and acquiring an information recommendation area set.
The information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas are geographical areas. The information recommendation area comprises the information position of the information to be recommended, namely the information recommendation area is determined according to the information position of the information to be recommended. The information to be recommended is used for recommending the user account corresponding to the information position, for example, the user account with the distance from the information position smaller than the threshold value. Optionally, the information to be recommended includes text, pictures, videos, and the like. In particular, the advertisement can be an advertisement of a merchant, such as a food merchant, a lodging merchant, a wedding celebrator, a beauty merchant, etc. The information position of the information to be recommended can reflect the position of the service provided by the information to be recommended. The information position of the information to be recommended can be specified by the provider account which uploads the information to be recommended, and can also be the position of the provider account.
Step 204: and determining at least two areas to be merged with a merging relationship in the information recommendation area set according to the mobile behavior information of the sample user account.
The sample user account includes any user account in the computer device. Optionally, the movement behavior information includes a movement trajectory of the sample user account, the movement trajectory being determined by the computer device according to a historical position of the sample user account within a historical time period. The computer equipment can determine the passing times of the moving track passing through two areas in the information recommendation area set according to the moving track of the sample user account, and can determine the at least two areas to be merged according to the passing times.
Step 206: and merging at least two areas to be merged with merging relation to obtain a merged area.
And merging the areas to be merged, namely aggregating the information to be recommended belonging to the areas to be merged. After the computer equipment merges the merging areas, the information to be recommended which belongs to each area to be merged belongs to the merging area, so that the information to be recommended which originally belongs to one area can be distributed to another area. Optionally, the computer device performs region merging, which means that the regions to be merged having a merging relationship are collectively determined as a merging region.
Illustratively, the information recommendation area set comprises an information recommendation area 1, an information recommendation area 2, an information recommendation area 3, an information recommendation area 4 and an information recommendation area 5. The computer equipment determines that the information recommendation area 1, the information recommendation area 2 and the information recommendation area 3 have a combined relation and the information recommendation area 4 and the information recommendation area 5 have a combined relation according to the mobile behavior information of the sample user account. When the computer device performs region merging, the information recommendation region 1, the information recommendation region 2 and the information recommendation region 3 are merged into the merging region 1, and the information recommendation region 4 and the information recommendation region 5 are merged into the merging region 2.
Step 208: and sending target information to be recommended to the account of the user to be recommended.
The current position of the user account to be recommended belongs to the merging area, namely the current position of the user account to be recommended belongs to any one of at least two information recommendation areas forming the merging area. The user account to be recommended comprises any user account needing information recommendation in the computer equipment. The target information to be recommended is information to be recommended, the information position of which belongs to the merging area. When information recommendation is performed on the user account to be recommended, the computer device determines target information to be recommended from the information to be recommended belonging to the merging area, and recommends the target information to the user account to be recommended.
Illustratively, the computer device merges the information recommendation area 1, the information recommendation area 2, and the information recommendation area 3 into the merge area 1. The current position of the user account to be recommended belongs to the information recommendation area 2 in the merging area 1, and the computer equipment can recommend the information to be recommended in the information recommendation area 1, the information recommendation area 2 and the information recommendation area 3 to the user account to be recommended.
When a client logged in by a user account needs to display a user interface with an information recommendation function, the client sends an information recommendation request to computer equipment. The computer equipment can determine a merging area where the user account is located according to the current position of the user account, determine target information to be recommended from the information to be recommended belonging to the merging area, and send the target information to the client for display. Wherein the client corresponds to a computer device, the client has LBS-based functionality, e.g., the client can be a local life service client. The computer device can be a server, which is a server, or a server cluster composed of several servers, or a virtual server in a cloud computing service center, etc.
In summary, the method provided in this embodiment merges the areas to be merged in the information recommendation area set, so that the area to which the information to be recommended belongs can be expanded, and the information to be recommended in a certain area is distributed to another area. The information to be recommended belonging to the merging area is recommended to the user account in the merging area, the quantity of the information to be recommended received by the user can be enriched, and the problem of too small information quantity is avoided. And the area to be merged is determined according to the mobile behavior information of the sample user account, so that the reachability of the user to the information position is considered, the user experience is improved, and the limitation that the information to be recommended is recommended only according to a small-range region is broken through.
Fig. 3 is a flowchart illustrating an information recommendation method according to another exemplary embodiment of the present application. The method may be used in a computer device. As shown in fig. 3, the method includes:
step 302: and acquiring an information recommendation area set.
The information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas comprise information positions of information to be recommended. The information recommendation area is determined according to the information position of the information to be recommended. The information position of the information to be recommended can point to at least one of the district and the longitude and latitude.
The information position of the information to be recommended can be determined by the following method:
in response to that the information to be recommended corresponds to a Point of Interest (POI), the computer device determines the POI as an information position of the information to be recommended. In response to that the information to be recommended does not correspond to the POI, the computer equipment determines the position of the provider account which uploads the information to be recommended as the information position of the information to be recommended. Where a POI is any non-geographically meaningful point on the map: such as shops, bars, gas stations, hospitals, POIs of information to be recommended can be specified for the account of the provider providing the information to be recommended.
Optionally, the computer device obtains the information position of the information to be recommended, and aggregates the information positions of the information to be recommended, so that an information recommendation area set can be obtained. The computer equipment can realize the aggregation of the information positions of the information to be recommended through a clustering algorithm. The clustering algorithm used by the computer equipment is an algorithm which can cluster the information positions without inputting the number of clustering clusters so as to obtain a clustering region with any shape. The information recommendation area in the information recommendation area set is determined according to the information positions of at least two pieces of information to be recommended, and the information positions point to at least one of the district and the longitude and latitude. For example, the information location points to the purdong new zone with latitude and longitude (121.5447, 31.2224).
Optionally, the computer device may cluster information positions of information to be recommended belonging to the same province through a DBSCAN algorithm, so as to obtain an information recommendation area set. The determined information recommendation area set is a set corresponding to a certain province, and the information recommendation areas in the information recommendation area set are areas in the province. The DBSCAN algorithm can cluster the information positions according to the information position distribution density of the information to be recommended. The neighborhood radius in the parameters of the DNSCAN algorithm is determined based on the distance between cities in the province to which the information position belongs. The neighborhood radius is used to reflect the distance requirement between information locations clustered into the same region. The closer the distance between cities within the province to which the information position belongs, the smaller the neighborhood radius, and the larger the distance between cities within the province to which the information position belongs, the larger the neighborhood radius. The core point definition threshold value in the parameters of the DBSCAN algorithm is determined based on the number of the information to be recommended in the province to which the information position belongs. The core point definition threshold is used to reflect the requirement for the number of information locations around the information location as the center of the cluster when clustering. The larger the number of pieces of information to be recommended in the province to which the information position belongs, the larger the core point definition threshold value, and the smaller the number of pieces of information to be recommended in the province to which the information position belongs, the smaller the core point definition threshold value.
Step 304: and merging the adjacent information recommendation areas in the information recommendation area set.
Before merging the areas with the merging relationship in the information recommendation area set, the computer device can merge the adjacent information recommendation areas meeting the conditions in the information recommendation area set, and the specific implementation process is as follows:
the computer equipment determines the information density of the information recommendation areas in the information recommendation area set and the area distance between two adjacent information recommendation areas, wherein the information density is used for reflecting the density degree of the information position distribution of the information to be recommended in the information recommendation areas. The computer device searches for an area adjacent to a third information recommendation area in the information recommendation area set based on a Variable Neighbor Search (VNS) algorithm, and can obtain a fourth information recommendation area. The third information recommendation area is any one of the information recommendation area sets, and the fourth information recommendation area is adjacent to the third information recommendation area. And the third information recommendation area and the fourth information recommendation area meet the information density condition and the area distance condition. The condition that the regional distance is satisfied means that the regional distance between the third information recommendation region and the fourth information recommendation region is smaller than a threshold value, and the condition that the information density is satisfied means that a connection relationship exists between a boundary of information position dense distribution in the third information recommendation region and a boundary of information position dense distribution in the fourth information recommendation region, for example, the distance is smaller than a connection threshold value. The VNS algorithm is used to perform the search process. After searching for the fourth information recommendation area based on the third information recommendation area, the computer device may merge the third information recommendation area and the fourth information recommendation area. In addition, the computer device can also merge other adjacent information recommendation areas in the recommendation area set in the above manner.
Step 306: and determining at least two areas to be merged with a merging relationship in the information recommendation area set according to the mobile behavior information of the sample user account.
The sample user account includes any user account in the computer device. The sample user account can be a user account with the current location at the home location. Optionally, the movement behavior information includes a movement trajectory of the sample user account. As shown in fig. 4, the implementation of step 306 includes the following steps 3062 to 3066:
in step 3062, the movement track of the sample user account is obtained.
The computer equipment can acquire the moving track of the sample user account from the terminal where the client corresponding to the computer equipment and logged in by the sample user account is located. The movement track is acquired, for example, by a client having a movement track recording function in the terminal. The computer device can also acquire the movement track through the historical positions of the sample user accounts stored in the memory within the historical time length, wherein the movement track is formed by the historical positions of the sample user accounts within the historical time length. When the sample user account logs in the client corresponding to the computer equipment, the client can determine the position of the sample user account at the current moment through the terminal and send the position to the computer equipment. The computer equipment can acquire the historical positions of the sample user accounts in the historical duration from the memory, and the historical positions of the sample user accounts in the historical duration are connected in pairs according to the sequence of the acquisition time of the historical positions, so that the movement track of the sample user accounts can be obtained.
In step 3064, the number of times the movement locus passes between two information recommendation regions in the set of information recommendation regions is determined.
When the movement track passes through two information recommendation areas in the information recommendation area set, the computer device determines that the passing times of the two information recommendation areas are increased once. Or the movement track is formed by the historical positions of the sample user account, and in response to that a first historical position in the movement track belongs to the first information recommendation area, a second historical position in the movement track belongs to the second information recommendation area, and the first historical position and the second historical position are two adjacent positions in the movement track, the computer device determines that the passing times of the first information recommendation area and the second information recommendation area are increased once. The first information recommendation area and the second information recommendation area are different areas in the information recommendation area set. The computer device can finally determine the passing times of the first information recommendation area and the second information recommendation area by circularly executing the steps of determining the passing times of the first information recommendation area and the second information recommendation area.
Illustratively, the movement trajectory of the sample user account is composed of historical position 1, historical position 2, historical position 3, historical position 4, and historical position 5. The historical position 1 belongs to an information recommendation area 1 in an information recommendation area set, the historical position 2 belongs to an information recommendation area 2 in the information recommendation area set, the historical position 3 belongs to an information recommendation area 3 in the information recommendation area set, the historical position 4 belongs to the information recommendation area 1 in the information recommendation area set, and the historical position 5 belongs to the information recommendation area 2 in the information recommendation area set. When determining the number of times of passing between two information recommendation areas in the information recommendation area set according to the movement track, the computer device determines that the number of times of passing between the information recommendation area 1 and the information recommendation area 2 is 2, the number of times of passing between the information recommendation area 2 and the information recommendation area 3 is 1, and the number of times of passing between the information recommendation area 3 and the information recommendation area 1 is 1.
In step 3066, in response to the number of lapses being greater than the number threshold, two information recommendation regions are determined as the regions to be merged.
The threshold number of times is determined by the computer device. When two information recommendation areas with the passing times larger than the time threshold exist in the information recommendation area set, the computer equipment determines the two information recommendation areas as areas to be merged, so that at least two areas to be merged with a merging relationship are determined in the information recommendation area set.
Illustratively, the number of times of passing of the information recommendation area 1 in the recommendation area set and the information recommendation area 2 in the recommendation area set is greater than a number threshold, and the number of times of passing of the information recommendation area 2 in the recommendation area set and the information recommendation area 3 in the recommendation area set is greater than the number threshold, the computer device may determine the information recommendation area 1, the information recommendation area 2, and the information recommendation area 3 as the areas to be merged.
Step 308: and combining at least two regions to be combined with a combination relation to obtain a combined region.
And merging the areas to be merged, namely aggregating the information to be recommended belonging to the areas to be merged. After the computer equipment merges the merged regions, the information to be recommended which belongs to each region to be merged belongs to the merged region, so that the information to be recommended which originally belongs to a certain region can be distributed to another region.
Step 310: and sending target information to be recommended to the account of the user to be recommended.
The current position of the user account to be recommended belongs to the merging area, namely the current position of the user account to be recommended belongs to any one of at least two information recommendation areas forming the merging area. The user account to be recommended comprises any user account needing information recommendation in the computer equipment. The target information to be recommended is information to be recommended, and the information position belongs to the merging area. When information recommendation is performed on the account of the user to be recommended, the computer device determines target information to be recommended from the information to be recommended belonging to the merging area, for example, determines information which is possibly interested by the user from the information to be recommended belonging to the merging area according to historical behavior information (browsing, clicking, like, favorite, collection and the like) of the user, and recommends the information to the account of the user to be recommended.
In a specific example, the number of the information to be recommended belonging to the district 1 in the city 1 is 3580, and the method provided by the embodiment of the application can be used for combining the district 1 in the city 1 and the city 2, so that the number of the information to be recommended belonging to the district 1 in the city 1 is increased to 17492, and the number of the information to be recommended to the account number of the user to be recommended is effectively increased.
In a specific example, fig. 5 is a schematic diagram of an information recommendation interface provided in an exemplary embodiment of the present application. As shown in fig. 5, when a client that logs in to a user account to be recommended needs to display an information recommendation interface 501, the client sends an information recommendation request to a server, where the information recommendation request carries a current location of the user account to be recommended. The server determines a merging area to which the account of the user to be recommended belongs according to the current position of the account of the user to be recommended, determines target information to be recommended 503 from the information to be recommended, the information position of which belongs to the merging area, and sends the target information to the client. The information recommendation interface 501 includes an item category filter button 502. After receiving the target information to be recommended 503, the client displays the target information to be recommended 503 in the information recommendation interface 501. For example, the current position of the user account to be recommended belongs to jurisdiction 1 in city 1, and the target information to be recommended 503 can include information to be recommended belonging to jurisdiction 2 in city 2 adjacent to city 1.
In summary, the method provided in this embodiment merges the areas to be merged in the information recommendation area set, so that the area to which the information to be recommended belongs can be expanded, and the information to be recommended in a certain area is distributed to another area. The information to be recommended belonging to the merging area is recommended to the user account in the merging area, the quantity of the information to be recommended received by the user can be enriched, and the problem of too small information quantity is avoided. And the area to be merged is determined according to the mobile behavior information of the sample user account, so that the reachability of the user to the information position is considered, the user experience is improved, and the limitation that the information to be recommended is recommended only according to a small-range region is broken through.
In addition, the area to be merged is determined according to the moving track of the sample user account, the information position of the target information to be recommended to the user can be guaranteed after the area merging is carried out, the user can go to the area conveniently, information of the area which is inconvenient to go to the user is prevented from being recommended, and user experience is improved. The passing times between the two information recommendation areas in the information recommendation area set are determined according to the first historical position and the second historical position in the moving track, whether the user has stopped in the two information recommendation areas can be accurately judged, and the problem that the user is inconvenient to go to a merging area due to the fact that the user only passes through the areas without stopping is avoided. The method for clustering the information to be recommended by the noise density-based clustering algorithm provides a mode for quickly determining the information recommendation area set according to the information position, and can consider the characteristics of different provinces in the process. When the information to be recommended does not correspond to the interest points, the position of the provider account which uploads the information to be recommended is determined as the information position of the information to be recommended, and the information position of the information to be recommended is prevented from being lost. Based on the variable neighborhood algorithm, the adjacent areas in the recommended area set are merged according to the information density and the area distance, partial adjacent areas meeting the conditions in the recommended area set can be merged before the areas with the merging relation are merged, and the excessive calculation pressure when the areas with the merging relation are merged is avoided.
It should be noted that, the order of the steps of the method provided in the embodiments of the present application may be appropriately adjusted, and the steps may also be increased or decreased according to the circumstances, and any method that can be easily conceived by those skilled in the art within the technical scope disclosed in the present application shall be covered by the protection scope of the present application, and therefore, the detailed description thereof is omitted.
Fig. 6 is a schematic structural diagram of an information recommendation device according to an exemplary embodiment of the present application. The apparatus may be for a computer device. As shown in fig. 6, the apparatus 60 includes:
the obtaining module 601 is configured to obtain an information recommendation area set, where the information recommendation area set includes at least two information recommendation areas, and each information recommendation area includes an information position of information to be recommended.
The determining module 602 is configured to determine, according to the mobile behavior information of the sample user account, at least two areas to be merged having a merging relationship in the information recommendation area set.
A merging module 603, configured to merge at least two regions to be merged with a merging relationship to obtain a merged region.
The recommending module 604 is configured to send target information to be recommended to the account of the user to be recommended, where the current position of the account of the user to be recommended belongs to the merging area, and the target information to be recommended is information to be recommended whose information position belongs to the merging area.
In an alternative design, the movement behavior information includes a movement trajectory of the sample user account. A determining module 602 configured to:
and acquiring the moving track of the sample user account. And determining the passing times of the moving track passing between two information recommendation areas in the information recommendation area set. And determining the two information recommendation areas as areas to be merged in response to the number of times of passing being greater than the number threshold.
In an optional design, the movement track is obtained by connecting the historical positions of the sample user accounts within the historical time length in pairs according to the collection time sequence of the historical positions. A determining module 602 configured to:
and determining that the passing times of the first information recommendation area and the second information recommendation area are increased once in response to that a first historical position in the moving track belongs to a first information recommendation area, a second historical position in the moving track belongs to a second information recommendation area, and the first historical position and the second historical position are two adjacent positions in the moving track, wherein the first information recommendation area and the second information recommendation area are different areas in the information recommendation area set. And circularly executing the steps, and determining the passing times of the first information recommendation area and the second information recommendation area.
In an alternative design, the obtaining module 601 is configured to:
the information positions of the information to be recommended are aggregated to obtain an information recommendation area set, wherein the information recommendation areas in the information recommendation area set are determined according to the information positions of at least two pieces of information to be recommended, and the information positions point to at least one of the district and the longitude and latitude.
In an alternative design, the obtaining module 601 is configured to:
clustering the information positions of the information to be recommended belonging to the same province through a noise-based density clustering algorithm to obtain an information recommendation area set. The neighborhood radius in the parameter of the noise density-based clustering algorithm is determined based on the distance between cities in the province to which the information position belongs, and the core point in the parameter of the noise density-based clustering algorithm defines a threshold value and is determined based on the number of information to be recommended in the province to which the information position belongs.
In an alternative design, determination module 602 is configured to:
and responding to the interest points corresponding to the information to be recommended, and determining the interest points as the information positions of the information to be recommended. And in response to the fact that the information to be recommended does not correspond to the interest points, determining the position of the provider account which uploads the information to be recommended as the information position of the information to be recommended.
In an alternative design, as shown in fig. 7, the apparatus 60 further comprises:
the determining module 602 is configured to determine information density of information recommendation areas in the information recommendation area set and an area distance between two adjacent information recommendation areas, where the information density is used to reflect an intensity of information position distribution of information to be recommended in the information recommendation areas.
The searching module 605 is configured to search, based on a variable neighborhood search algorithm, an area adjacent to a third information recommendation area in the information recommendation area set to obtain a fourth information recommendation area, where the third information recommendation area and the fourth information recommendation area satisfy an information density condition and an area distance condition.
A merging module 603, configured to merge the third information recommendation area and the fourth information recommendation area.
It should be noted that: the information recommendation apparatus provided in the foregoing embodiment is only illustrated by dividing each of the function modules, and in practical applications, the function allocation may be completed by different function modules according to needs, that is, the internal structure of the device is divided into different function modules, so as to complete all or part of the functions described above. In addition, the information recommendation device and the information recommendation method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Embodiments of the present application further provide a computer device, including: the information recommendation system comprises a processor and a memory, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to realize the information recommendation method provided by the method embodiments.
Optionally, the computer device is a server. Fig. 8 is a schematic structural diagram of a server according to an exemplary embodiment of the present application.
The server 800 includes a Central Processing Unit (CPU) 801, a system Memory 804 including a Random Access Memory (RAM) 802 and a Read-Only Memory (ROM) 803, and a system bus 805 connecting the system Memory 804 and the CPU 801. The computer device 800 also includes a basic Input/Output system (I/O system) 806, which facilitates transfer of information between devices within the computer device, and a mass storage device 807 for storing an operating system 813, application programs 814, and other program modules 815.
The basic input/output system 806 includes a display 808 for displaying information and an input device 809 such as a mouse, keyboard, etc. for user input of information. Wherein the display 808 and the input device 809 are connected to the central processing unit 801 through an input output controller 810 connected to the system bus 805. The basic input/output system 806 may also include an input/output controller 810 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 810 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 807 is connected to the central processing unit 801 through a mass storage controller (not shown) connected to the system bus 805. The mass storage device 807 and its associated computer-readable storage media provide non-volatile storage for the server 800. That is, the mass storage device 807 may include a computer-readable storage medium (not shown) such as a hard disk or Compact Disc-Only Memory (CD-ROM) drive.
Without loss of generality, the computer-readable storage media may include computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable storage instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other solid state Memory devices, CD-ROM, Digital Versatile Disks (DVD), or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 804 and mass storage 807 described above may be collectively referred to as memory.
The memory stores one or more programs configured to be executed by the one or more central processing units 801, the one or more programs containing instructions for implementing the method embodiments described above, and the central processing unit 801 executing the one or more programs to implement the methods provided by the various method embodiments described above.
The server 800 may also operate as a remote server connected to a network through a network, such as the internet, according to various embodiments of the present application. That is, the server 800 may be connected to the network 812 through the network interface unit 811 connected to the system bus 805, or may be connected to other types of networks or remote server systems (not shown) using the network interface unit 811.
The memory also includes one or more programs, which are stored in the memory, and the one or more programs include instructions for performing the steps performed by the server in the methods provided by the embodiments of the present application.
The embodiment of the present application further provides a computer-readable storage medium, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the computer-readable storage medium, and when the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by a processor of a computer device, the information recommendation method provided by the above method embodiments is implemented.
The present application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the information recommendation method provided by the method embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the above readable storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only an example of the present application and should not be taken as limiting, and any modifications, equivalent switches, improvements, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (9)
1. An information recommendation method, characterized in that the method comprises:
acquiring an information recommendation area set, wherein the information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas comprise information positions of information to be recommended;
acquiring a moving track of a sample user account; determining the passing times of the moving track passing between two information recommendation areas in the information recommendation area set; determining the two information recommendation areas as at least two areas to be merged with a merging relationship in response to the number of times of passing being greater than a threshold;
merging the at least two areas to be merged with the merging relation to obtain a merged area;
and sending target information to be recommended to the account of the user to be recommended, wherein the current position of the account of the user to be recommended belongs to the merging area, and the target information to be recommended is the information to be recommended, of which the information position belongs to the merging area.
2. The method according to claim 1, wherein the movement track is obtained by connecting the historical positions of the sample user accounts within the historical duration in pairs according to the collection time sequence of the historical positions;
the determining the number of times that the movement track passes through between two information recommendation areas in the information recommendation area set includes:
determining that the passing times of a first information recommendation area and a second information recommendation area are increased once in response to that a first historical position in the moving track belongs to a first information recommendation area, a second historical position in the moving track belongs to a second information recommendation area, and the first historical position and the second historical position are two adjacent positions in the moving track, wherein the first information recommendation area and the second information recommendation area are different areas in the information recommendation area set;
determining the number of times of passing of the first information recommendation area and the second information recommendation area.
3. The method of claim 1 or 2, wherein the obtaining the set of information recommendation regions comprises:
and aggregating the information positions of the information to be recommended to obtain the information recommendation area set, wherein the information recommendation areas in the information recommendation area set are determined according to the information positions of at least two pieces of information to be recommended, and the information positions point to at least one of the prefecture and the longitude and latitude.
4. The method according to claim 3, wherein the aggregating the information positions of the information to be recommended to obtain the information recommendation area set comprises:
clustering the information positions of the information to be recommended belonging to the same province through a noise density-based clustering algorithm to obtain an information recommendation area set;
wherein the neighborhood radius in the parameter of the noise density-based clustering algorithm is determined based on a distance between cities within a province to which the information position belongs, and the core point in the parameter of the noise density-based clustering algorithm defines a threshold value based on the number of the information to be recommended in the province to which the information position belongs.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
responding to an interest point corresponding to the information to be recommended, and determining the interest point as the information position of the information to be recommended;
and in response to the fact that the information to be recommended does not correspond to the interest points, determining the position of the provider account which uploads the information to be recommended as the information position of the information to be recommended.
6. The method according to claim 1 or 2, wherein before said merging the at least two regions to be merged having a merging relationship to obtain a merged region, the method further comprises:
determining the information density of the information recommendation areas in the information recommendation area set and the area distance between two adjacent information recommendation areas, wherein the information density is used for reflecting the density degree of the information position distribution of the information to be recommended in the information recommendation areas;
searching a region adjacent to a third information recommendation region in the information recommendation region set based on a variable neighborhood search algorithm to obtain a fourth information recommendation region, wherein the third information recommendation region and the fourth information recommendation region meet an information density condition and a region distance condition;
and merging the third information recommendation area and the fourth information recommendation area.
7. An information recommendation apparatus, characterized in that the apparatus comprises:
the information recommendation system comprises an acquisition module, a recommendation module and a recommendation module, wherein the acquisition module is used for acquiring an information recommendation area set, the information recommendation area set comprises at least two information recommendation areas, and the information recommendation areas comprise information positions of information to be recommended;
the determining module is used for acquiring the moving track of the sample user account; determining the passing times of the moving track passing between two information recommendation areas in the information recommendation area set; determining the two information recommendation areas as at least two areas to be merged with a merging relationship in response to the number of times of passing being greater than a threshold;
the merging module is used for merging the at least two areas to be merged with the merging relation to obtain a merged area;
and the recommending module is used for sending target information to be recommended to the account of the user to be recommended, the current position of the account of the user to be recommended belongs to the merging area, and the target information to be recommended is the information to be recommended, the information position of which belongs to the merging area.
8. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the information recommendation method of any one of claims 1 to 6.
9. A computer-readable storage medium, having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the information recommendation method of any of claims 1 to 6.
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