CN111597445A - Information recommendation method and device - Google Patents
Information recommendation method and device Download PDFInfo
- Publication number
- CN111597445A CN111597445A CN202010405936.8A CN202010405936A CN111597445A CN 111597445 A CN111597445 A CN 111597445A CN 202010405936 A CN202010405936 A CN 202010405936A CN 111597445 A CN111597445 A CN 111597445A
- Authority
- CN
- China
- Prior art keywords
- cluster
- geo
- fence
- information
- point
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 77
- 230000015654 memory Effects 0.000 claims description 20
- 238000012545 processing Methods 0.000 claims description 18
- 238000001914 filtration Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 19
- 238000010586 diagram Methods 0.000 description 14
- 238000013461 design Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000003993 interaction Effects 0.000 description 4
- 201000005569 Gout Diseases 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Remote Sensing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Telephonic Communication Services (AREA)
Abstract
The application discloses an information recommendation method and device, and relates to the technical field of internet of vehicles. The specific implementation scheme is as follows: the server utilizes historical data of position points in a wide user inquiry reference area in advance to establish a geo-fence set corresponding to the reference area. In the information recommendation process, after the server receives the position information reported by the first electronic device, the server determines information to be recommended according to a target geo-fence to which a position point corresponding to the position information belongs and sends the information to the first electronic device. In the process, the server establishes the geo-fence by combining search histories of a large number of users in an effective time period, information is recommended to the users by using the geo-fence, and the position points in the geo-fence reflect popular position points of the public, so that the quality and the timeliness of the recommended information are greatly improved, and the purpose of information pushing accuracy can be improved.
Description
Technical Field
The embodiment of the application relates to the technical field of Internet of vehicles, in particular to an information recommendation method and device.
Background
At present, with the rapid development of automobile technology, automobiles can be used as a tool for people to ride instead of walk, and can provide various functions for users, such as entertainment functions, information pushed to a user display server and the like.
In the information recommendation process under the current vehicle-mounted scene, various application programs (APP) are loaded on a central control of an automobile, information to be recommended is preset, and after a driver or a passenger on a co-driver clicks the APP, the information to be recommended is displayed to a user in a carousel mode. After the preset duration is displayed, for example, after 10 seconds, the APP jumps to the home page. In this manner, the information displayed in carousel may also be referred to as resident operation information, and the above manner of displaying recommendation information may also be referred to as displaying recommendation information at a desktop resident position.
In the process of displaying the recommendation information through the desktop resident bit, the recommendation information needs to be set manually in advance. However, the manual setting of the recommendation information requires human cost, and the user may not pay much attention to the recommendation information manually set, which results in inaccurate information recommendation.
Disclosure of Invention
The embodiment of the application provides an information recommendation method and device, a geo-fence is dynamically established by combining search histories of historical users in an effective time period, and when a current user enters the geo-fence, information is recommended to the current user according to the geo-fence, so that the purpose of improving information push accuracy is achieved.
In a first aspect, an embodiment of the present application provides an information recommendation method, including:
receiving position information reported by first electronic equipment, wherein the position information is used for indicating the position of the first electronic equipment;
determining information to be recommended according to a target geo-fence to which a position point corresponding to the position information belongs, wherein the target geo-fence is included in a geo-fence set, the geo-fence in the geo-fence set is generated according to historical search records of a plurality of second electronic devices in a reference area, and the historical search records are used for searching the position point in the reference area;
and sending the information to be recommended to the first electronic equipment.
In a second aspect, an embodiment of the present application provides an information recommendation apparatus, including:
the receiving unit is used for receiving position information reported by first electronic equipment, and the position information is used for indicating the position of the first electronic equipment;
the processing unit is configured to determine information to be recommended according to a target geo-fence to which a location point corresponding to the location information belongs, where the target geo-fence is included in a geo-fence set, and the geo-fences in the geo-fence set are generated according to historical search records of a plurality of second electronic devices in a reference area, where the historical search records are used for searching for the location point in the reference area;
and the sending unit is used for sending the information to be recommended to the first electronic equipment.
In a third aspect, an embodiment of the present application provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the first aspect or any possible implementation of the method of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer program product containing instructions, which when run on an electronic device, cause the electronic device computer to perform the method of the first aspect or the various possible implementations of the first aspect.
In a fifth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing an electronic device to perform the method of the first aspect or the various possible implementations of the first aspect.
In a sixth aspect, an embodiment of the present application provides an information recommendation method, including: acquiring a plurality of historical search records in an effective time period at the current moment, wherein each historical search record in the plurality of historical search records is used for searching a position point in a reference area; and determining at least one geo-fence according to the plurality of historical search records, wherein the geo-fence comprises position points which are positioned in the reference area.
One embodiment in the above application has the following advantages or benefits: by combining search history of historical users in an effective time period to dynamically establish the geo-fence, when the current user enters the geo-fence, information is recommended to the current user according to the geo-fence, and the purpose of improving the information pushing accuracy is achieved.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1A is a schematic network architecture diagram of an information recommendation method according to an embodiment of the present application;
fig. 1B is a schematic diagram of another network architecture of an information recommendation method according to an embodiment of the present application;
FIG. 2 is a flowchart of an information recommendation method provided in an embodiment of the present application;
fig. 3 is a schematic diagram of a cluster in an information recommendation method according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating geofencing established in an information recommendation method provided in an embodiment of the present application;
fig. 5 is a schematic diagram of a geo-fence in an information recommendation method provided by an embodiment of the present application;
fig. 6 is a flowchart of dynamically establishing a geo-fence in an information recommendation method provided in an embodiment of the present application;
FIG. 7 is a flowchart of an information recommendation method provided in an embodiment of the present application;
fig. 8 is a schematic structural diagram of an information recommendation device according to an embodiment of the present disclosure;
fig. 9 is a block diagram of an electronic device for implementing an information recommendation method according to an embodiment of the present disclosure.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Generally speaking, the attention of the user in the vehicle scene is focused on the complex vehicle conditions. Therefore, if the server frequently pushes information, such as operation advertisements, to the central control of the automobile, the recommendation process is mechanized, normal driving of the user is seriously affected, and even safety accidents are caused in serious cases. For this reason, the information recommendation mode in the existing vehicle-mounted scene,
most adopt the mode of manual intervention, for example, load various APP on car central control (can also be called car machine), after APP is clicked, demonstrate several information in carousel mode, for example, 5 information, each information display 1 second. For another example, the information pushed by the server is shown in a form of embedding a mobile H5 webpage, and if the user clicks a button on the control screen, the user jumps to an H5 page. The information displayed in the carousel and the content displayed in the H5 page are manually set in advance. The manual intervention mode achieves the purpose of not disturbing the driving of the user to a certain extent. However, there may be a large amount of information without clear directionality in the manually set information, so that the user does not pay high attention to the information without clear directionality, resulting in inaccurate information recommendation.
In view of this, an embodiment of the present application provides an information recommendation method, which dynamically establishes a geo-fence by combining with a historical search record, and recommends information to a user by using the dynamic geo-fence, so as to achieve an object of improving information push accuracy.
Fig. 1A is a schematic network architecture diagram of an information recommendation method according to an embodiment of the present application. Referring to fig. 1A, the network architecture includes a first electronic device 1, a second electronic device 2, and a server 3, where the first electronic device 1 and the server 3 establish a network connection, and the second electronic device 2 and the server 3 establish a network connection. The first electronic device 1 is an electronic device, such as a vehicle-mounted terminal device, a mobile phone, a tablet computer, a notebook computer, etc., which is located in a reference area at the current time, where the reference area is, for example, a county or a city, and one base station area includes a plurality of location points, and the location points are, for example, a hotel, a scenic spot, a gourmet merchant, etc. The second electronic device 2 is an electronic device that has been located in the reference area for a valid period of time, for example, an electronic device that was located in the reference area before the current time, such as an electronic device that was located in the reference area for the past 5 hours and has undergone the search location point action. The server 3 establishes a plurality of geo-fences within the reference area using the search record of the second electronic device 2, forming a set of geo-fences. When the first electronic device 1 enters a certain geo-fence (hereinafter referred to as a target geo-fence), the server 3 recommends information about a hot door location point within the target geo-fence to the first electronic device 1.
Fig. 1B is a schematic diagram of another network architecture of an information recommendation method according to an embodiment of the present application. Compared with the server 3 in fig. 1A that integrates functions of determining a target geographic location and determining information to be recommended, the network architecture shown in fig. 1B includes two servers that are independently arranged, that is, the server 4 and the server 5 establish a network connection, the server 4 is configured to process the location information, generate a set of geo-fences, and the like, and the server 5 is configured to provide information to be recommended corresponding to each geo-fence. Each second electronic device 2 establishes a network connection with the server 4, each first electronic device 1 also establishes a network connection with the server 4, and at the same time, each first electronic device 1 also establishes a network connection with the server 5. The server 4 establishes a plurality of geo-fences within the reference area using the search records of the second electronic device 2, forming a set of geo-fences. When the first electronic device 1 enters a certain geo-fence (hereinafter referred to as a target geo-fence), the server 3 sends an identifier of a hot location point in the target geo-fence and the like to the server 5, and the server 5 determines information to be recommended and sends the information to the first electronic device 1.
In fig. 1A and fig. 1B, when the first electronic device 1 is a mobile terminal such as a mobile phone, the first electronic device 1 has an APP, and the APP may be a local APP (native APP) installed on the first electronic device 1, and the APP may establish a network connection with a vehicle-mounted system on the central control of the automobile. The first electronic device 1 may report the location information to the server through the APP, and receive the information to be recommended sent by the server.
In fig. 1A and 1B, when the first electronic device 1 is a vehicle-mounted terminal, a plug-in or Software Development Kit (SDK) on an Operating System (OS) of the vehicle-mounted terminal reports location information to a server, receives information to be recommended sent by the server, and the like.
The following describes in detail an information recommendation method according to an embodiment of the present application, taking the architecture shown in fig. 1A as an example. For example, see fig. 2.
Fig. 2 is a flowchart of an information recommendation method provided in an embodiment of the present application, where the embodiment includes:
101. and receiving position information reported by first electronic equipment, wherein the position information is used for indicating the position of the first electronic equipment.
For example, the location information may be longitude and latitude coordinates reported by the first electronic device, or may also be a location point where the first electronic device is located, such as a hotel, a crossing, and the like, which is not limited in the embodiment of the present application.
102. And determining information to be recommended according to the target geo-fence to which the position point corresponding to the position information belongs.
Wherein the target geofence is included in a set of geofences, the geofences in the set of geofences generated from historical search records of the plurality of second electronic devices within a reference area, the historical search records used to search for location points within the reference area.
Illustratively, some APPs on the first electronic device may involve Location Based Services (LBS), which is also referred to as a Location server, etc. Geo-fencing (Geo-fencing) is a new application of LBS, with a virtual fence enclosing a virtual geographic boundary. When a first electronic device enters, leaves or is active within a certain geofence, the server pushes information to the first electronic device. And pre-storing a geo-fence set corresponding to the reference area on the server. The reference area may be a city, a county city, a certain region of a city, etc. The server establishes a plurality of geo-fences in a reference area in advance according to the related historical data of the reference area, and any two geo-fences are independent or have an intersection. Each geofence contains a plurality of location points, which may be hotels, schools, attractions, delicatessens merchants, etc.
After receiving the position information reported by the first electronic device, the server matches the position indicated by the position information with the area corresponding to each geo-fence in the geo-fence set, and if the position information falls into a certain geo-fence, the server takes the geo-fence as a target geo-fence. And then, determining information to be recommended according to the target geo-fence. The information to be recommended may be, for example, information related to a hit location point within the target geo-fence, such as a feature of a hotel, etc.
103. And sending the information to be recommended to the first electronic equipment.
Illustratively, the server sends the information to be recommended, which is determined according to the target geo-fence, to the first electronic device, so that the first electronic device displays the information to the user. In the display process, if the first electronic device displays the information to be recommended in a full screen mode, after a preset time is displayed, for example, 10 seconds, if the user does not respond, that is, if the first electronic device receives a touch operation or an air-separating operation of the user on the touch screen, the information to be recommended is not displayed in the full screen mode, but the display is switched to an original picture. For example, the first electronic device is a vehicle-mounted terminal, and the vehicle-mounted terminal is located on a song playing interface before receiving the information to be recommended. And after the vehicle-mounted terminal receives the information to be recommended, if the information to be recommended is a hotel characteristic, displaying the information to be recommended in a full screen mode. If the user, such as a driver or a passenger on the passenger side, does not input an operation instruction by clicking a screen of the vehicle-mounted terminal after 10 seconds, the vehicle-mounted terminal switches back to the song playing interface.
According to the information recommendation method provided by the embodiment of the application, the server utilizes historical data of position points in a wide user inquiry reference area in advance to establish a geo-fence set corresponding to the reference area. In the information recommendation process, after the server receives the position information reported by the first electronic device, the server determines information to be recommended according to a target geo-fence to which a position point corresponding to the position information belongs and sends the information to the first electronic device. In the process, the server establishes the geo-fence by combining search histories of a large number of users in an effective time period, information is recommended to the users by using the geo-fence, and the position points in the geo-fence reflect popular position points of the public, so that the quality and the timeliness of the recommended information are greatly improved, and the purpose of information pushing accuracy can be improved.
In the following, how the server dynamically establishes the geo-fence set of the reference area in the above embodiment is described in detail.
First, a valid historical search record is collected.
In a possible implementation manner, a position point set is obtained at a first time point according to a plurality of historical search records in an effective time period when each of the plurality of second electronic devices is located in the reference area, where the effective time period is a time period between the first time point and a second time point, the second time point is located before the first time point, and a duration of the effective time period is less than a preset threshold.
For example, after the server identifies a reference area such as a county or a city where the first electronic device is currently located at the current time, the server obtains the location of the reference area. Based on the reference area, the server obtains a plurality of search records of position points in the reference area searched by other second electronic equipment by using the map APP. The server preliminarily filters out search records irrelevant to a certain specific reference area from the historical search records aiming at the first time point of any one geofence needing to be established, namely filters out the search records used for searching other position points outside the reference area from the historical search records, and only reserves the search records used for searching the position points in the reference area. Then, for each of the remaining search records, the server determines whether the search record is within a set valid time period, for example, a time period between a first time point and a second time point, for example, a time point before the first time point and 5 hours away from the first time point, that is, the history search record is a search record within 5 hours before the first time point. If one search record is a record corresponding to a search behavior occurring within 5 hours before the current time, taking the search record as an effective search record; if the search record does not belong to the search record corresponding to the search behavior occurring within 5 hours before the current time, the search record is deleted, that is, the search record cannot be used as an effective search record.
By adopting the scheme, the purpose of ensuring the timeliness of the information to be recommended is achieved by setting the effective time.
Next, a popular search position point within the reference area is determined.
In a feasible implementation manner, the server clusters each position point in the position point set to obtain at least one cluster, and a distance between any two position points in the same cluster is smaller than a preset threshold.
Illustratively, for a reference area, after the server collects a series of valid search records, the server uses a density-based clustering algorithm to cluster the position points that are close to each other. In view of the clustering algorithm, in an effective time period, a plurality of users initiate a search through the second electronic device, if the location points searched by the users are relatively close to each other, the users are considered as users of the same type whose interest points converge, and then the hot location points in the cluster are used as the hot location points of the cluster, and when information is subsequently recommended, the information of the hot location points is recommended to the first electronic device. By adopting the scheme, the goal of accurate recommendation is realized by determining the hot position point.
Again, creation of a geofence.
For example, after obtaining a plurality of clusters in a reference area, the geo-coordinates of each location point in each cluster of at least one cluster may be determined, and then the geo-fence of the corresponding cluster may be determined, so as to obtain the set of geo-fences. For example, referring to fig. 3, fig. 3 is a schematic diagram of a cluster in an information recommendation method provided in an embodiment of the present application.
Referring to fig. 3, a rectangular frame is shown as a reference area, a server clusters search records in an effective time period to obtain two clusters, namely a cluster a and a cluster B, where the cluster a includes: hotel one, hotel two, hotel three, sight spot four, sight spot five and hotel six, the position point that cluster B contains has: seven hotels, eight delicacies, nine delicacies, ten delicacies, eleven malls and twelve hotels. For cluster group A, the server takes the mean value of the abscissa of each position point in cluster group A as the abscissa of the central point, takes the mean value of the ordinate of each position point in cluster group A as the ordinate of the central point, and further takes the central point as the center of a circle, and the circle at least can cover each position point in the cluster group. The server then regards the circle as the geofence for cluster a. Similarly, the geofence for cluster B may be obtained, as shown by the dashed line in the figure. Additionally, the radius of the geofence may also be a preset radius, such as 500 meters, etc.
In the historical search records stored or obtained by the server, the position point indicated by each search record also has a type tag, and the type tag can be carried in the search request when the second electronic device initiates the search, or can be determined by the server according to the position point searched by the second electronic device. During a valid time period, the user may be more interested in location points of a certain tag type. In order to accurately obtain the interest of the user, the server determines the geo-fence of the corresponding cluster according to the geo-coordinates of each position point in each cluster in the at least one cluster, before the geo-fence set is obtained, for each cluster in the at least one cluster, the server also determines the number of times that the position points with the same type tag in the cluster are searched, so as to obtain the number of times that each type tag in a plurality of type tags corresponds to, and uses the type tag with the largest number of times of search as the hot type tag of the cluster, so as to obtain the hot type tag of each cluster in the at least one cluster.
Illustratively, referring to FIG. 3 above, location points within a cluster include various tag types, e.g., the type tags for location points within cluster B are food, mall, and hotel. If the first electronic device enters the geo-fence corresponding to the cluster B, the server recommends the information of the gourmet, the shopping mall or the hotel to the first electronic device according to the position point in the cluster B, and the information is complex and may not represent popular information. For this purpose, the server filters the type tag corresponding to the location point with the highest occurrence frequency based on the voting rule, that is, the server counts the number of times the location point of each tag type is searched, for example, in cluster B, within a valid period of time found by statistics: seven hotels were searched 240 times, eight food was searched 45 times, nine food was searched 78 times, ten food was searched 120 times, 11 shops were searched 15 times, twelve hotels were searched 147 times, the number of hotel searches is 240+147 + 387, 45+78+54 hotel searches is 177, 15 shopping searches is 15, and the maximum number of hotel searches is given. These data indicate that: in the effective time period, the user is more concerned with the relevant information of the hotels in the cluster B, namely the hotels are social search hotspots in the effective time period.
After the hot tag type is obtained, the server determines an abscissa mean value and an ordinate mean value of each position point with the hot tag type in each cluster group to obtain a center of each cluster group in the process of determining the geo-fence set, and determines the geo-fence corresponding to each cluster group in the at least one cluster group according to the center of each cluster group in the at least one cluster group and a preset fence shape to obtain the geo-fence set. The shape of the predetermined fence is, for example, a circle, a rectangle, etc., and the embodiments of the present application are not limited thereto. In the process, the purpose of establishing the geo-fence is achieved by using the coordinate mean value of the position point.
Referring to fig. 4 for a process of establishing a geo-fence for the cluster B in fig. 3, fig. 4 is a schematic diagram of establishing a geo-fence in an information recommendation method according to an embodiment of the present disclosure. Referring to fig. 4, the server first removes location points with other types of labels from the cluster B, for example, location points with types of labels being food and shopping malls, and only keeps location points with one type of labels, for example, location points with types of hotels. Then, the server takes the mean value of the horizontal coordinates of the seven hotels and the twelve hotels in the cluster B as the horizontal coordinate of the central point, takes the mean value of the vertical coordinates of the seven hotels and the twelve hotels in the cluster B as the vertical coordinate of the central point, and further takes the central point as the circle center and the preset radius as the radius to form a circle. The server then treats the circle as the geofence for cluster B.
By adopting the scheme, the information to be recommended with obvious public tendency can be determined from a plurality of information according to the hot tags.
Again, the geofence is maintained.
In the embodiment of the application, after the geofences in the geofence set are established, the server periodically judges whether the existing duration of the geofence set exceeds the preset duration, and if the existing duration of the geofence set exceeds the preset duration, the geofence set is updated; and if the existing time length of the geo-fence set does not exceed the preset time length, continuing to use the geo-fence. That is to say, after the geofence is created, the created geofence needs to be timely recovered according to the preset effective time, so as to ensure that the geofence meeting the social hotspot in the current time period is dynamically created in the next effective time period in combination with the analysis result of the historical search record of the latest user.
Illustratively, each geofence in the set of geofences is valid for a period of time, such as 5 hours. For 5 hours, the server reestablishes the geofence based on historical search records over the last 5 hours. The geofences established by the server at different times may be different. For example, referring to fig. 5, fig. 5 is a schematic diagram of a geo-fence in an information recommendation method provided by an embodiment of the present application. Referring to fig. 5, an effective time period 1:00-5 with a duration of 4 hours: 00, clustering the historical search records related to the reference area before 1:00 by the server to obtain 2 clusters, namely a cluster A and a cluster B, wherein the cluster A comprises the following position points: hotel one, hotel two, hotel three, sight spot four, sight spot five and hotel six, the position point that cluster B contains has: seven hotels, eight delicacies, nine delicacies, ten delicacies, eleven malls and twelve hotels. The server obtains a geofence set comprising two geofences from cluster a and cluster B. Effective time period 1: 00-5: 00, if the first electronic device enters the corresponding geo-fence of the cluster A, pushing the related information of the hot location point in the cluster A to the first electronic device; similarly, if the first electronic device enters the corresponding geo-fence of the cluster B, the related information of the hot location point in the cluster B is pushed to the first electronic device.
Beginning at 5:00, the server utilizes 5:00 before the second electronic device searches for the position point in the reference area, and establishes the geo-fence in the next valid time period. In the establishing process, the server clusters the historical search records related to the reference area before 5:00 to obtain 3 clusters which are respectively a cluster C, a cluster D and a cluster E, wherein the cluster A comprises the following position points: sight four, sight five, and sight thirteen, cluster B contains the following location points: seven hotels, eight delicacies, nine delicacies and ten delicacies, and the position points included in the cluster E are hotel gas, fourteen hotels and fifteen scenic spots. The server obtains a geo-fence set including three geo-fences according to cluster C, cluster D and cluster E. Then, the effective time of the geofences in the set of geofences is made to be 5 hours, and within 5 hours of 5:00-10:00, information is recommended to the first electronic device according to the geofences in the set of geofences.
By adopting the scheme, the geographic fence is dynamically established, so that the information recommended to the first electronic equipment by the server is ensured to follow the public attention hotspot. Meanwhile, by dynamically establishing the geofence, the cost of maintaining a large number of geofence records by the server is reduced to a certain extent.
Fig. 6 is a flowchart of dynamically establishing a geo-fence in an information recommendation method provided in an embodiment of the present application, including the following steps:
201. a reference region is determined.
For example, after the server identifies a reference area, such as a prefecture, a city, or the like, where a geofence needs to be established at the current time, the server obtains the location of the reference area.
202. The server collects historical search records located in the reference area.
Illustratively, the server collects a plurality of search records of position points in the reference area searched by other second electronic devices by using the map APP before the current time.
203. The server traverses each of the plurality of search records to determine an effective search record from the plurality of search records.
204. And the server aggregates the position points with similar distances based on a density clustering algorithm to obtain a plurality of clusters.
205. And the server screens out hot type labels in each cluster based on voting rules.
206. The server judges whether the number of the position points of the hot type tags in the cluster is greater than or equal to the preset number, if the number of the position points of the hot type tags in the cluster is greater than or equal to the preset number, the step 207 is executed; and if the number of the position points of the hot door type labels in the cluster group is less than the preset number, ending the process.
Illustratively, to avoid generation of a large amount of recommendation information without obvious popularity due to too few location points in one cluster, for each cluster in at least one cluster, the server determines whether the number of location points having a hot type tag in the cluster exceeds a preset threshold, and if so, it indicates that the information related to the location points of the hot type tag has obvious popularity, and step 207 is executed; if the number of the location points of the hot type tag in the cluster is less than the preset number, it indicates that the information related to the location points of the hot type tag does not have obvious public tendentiousness, and therefore, a geo-fence does not need to be established for the cluster.
207. And deleting the position points without the hot type labels from the cluster, and aggregating the position points with the hot type labels to obtain a new cluster.
208. And determining the centroid coordinate of the new cluster by using the coordinates of the position points in the new cluster.
Illustratively, for each cluster in at least one cluster, the server determines the abscissa mean value and the ordinate mean value of each position point with the hot type tag in the cluster to obtain the center of each cluster, which may also be referred to as the centroid coordinate of the new cluster.
209. A geofence is established centered on the centroid coordinates.
Illustratively, for each cluster, the server completes the creation process of a virtual geofence having a range of a certain radius as soon as the centroid coordinate of the cluster is the center, thereby obtaining a set of geofences.
210. Judging whether the existing time of the current geo-fence set exceeds the specified time or not, and if the existing time of the geo-fence set does not exceed the specified time, finishing the creation of the geo-fence; if the existing time of the set of geo-fences exceeds the specified time, return to step 201.
For example, assuming that the server creates a geo-fence set at 5 o 'clock and specifies that the geo-fence is valid before 10 o' clock, the server detects whether the current time exceeds 10 o 'clock in the process of using the geo-fence in the geo-fence set, and if the current time does not exceed 10 o' clock, continues to use the geo-fence; if 10 points are exceeded, the geofence is reestablished.
In the following, how the server pushes information in the above embodiments is described in detail. For example, refer to fig. 7, fig. 7 is a flowchart of an information recommendation method provided in an embodiment of the present application, where the embodiment is described from the perspective of interaction between a first electronic device and a server, and the embodiment includes:
301. the first electronic device acquires the position information in real time.
Illustratively, the first electronic device performs Positioning in real time through a Global Positioning System (GPS) to obtain the position information.
302. And the first electronic equipment reports the position information to the server.
303. The server determines a target geofence from the location information.
304. And the server determines the information recommended to the first electronic equipment from the recommended information corresponding to the target geo-fence according to the identity of the first electronic equipment.
The historical recommendation information is information recommended to the first electronic device.
305. And filtering information recommended to the first electronic equipment from the recommendation information corresponding to the target geo-fence to obtain the information to be recommended.
For example, the possibility of a large driving coverage is that since the vehicle is continuously driven, it is required that the creation of the geofence not only needs to ensure that the information is pushed to the user at the moment when the vehicle enters the geofence, but also needs to ensure that the information recommendation based on the geofence is not triggered too much, so as to ensure that the same information is not pushed to the first electronic device frequently during driving.
In order to solve the problem, the first electronic device reports the Identity (ID) of the first electronic device to the server while reporting the location information, so that the server can update the information sent to the first electronic device. For example, after the server 8 pushes information to the first electronic device, the information is marked as history recommendation information, an expiration time stamp is stamped on the history recommendation information, and 10 points indicate that the server 10 does not push the information to the first electronic device any more before.
Referring to fig. 5, cluster E and cluster D have a same location point: eight delicacies. Regardless of the type of the hot tag, after the first electronic device enters the geofence corresponding to the cluster D, the server pushes information related to seven hotels, eight gouts, nine gouts and ten gouts to the first electronic device, and each piece of information is stamped with an expiration timestamp. When the first electronic device enters the geofence corresponding to the cluster E from the cluster D, the server finds that the information about food eight is stamped with the expiration timestamp, and the time indicated by the expiration timestamp is not reached yet at the current time, the server no longer pushes the information about food eight to the first electronic device.
306. And the server sends the information to be recommended to the first electronic equipment.
According to the information recommendation method provided by the embodiment of the application, the popular position points of the public are mined in real time by combining with the historical search records, and the abundant relevant information of the popular position points is recommended to the first electronic equipment through the scheme of dynamically establishing the virtual geo-fence, so that the quality and the timeliness of the recommended information are greatly improved. Meanwhile, the most timely information is pushed to the user under the condition that the user does not have any perception, and the user experience of vehicle-machine interaction is effectively improved.
The above describes a specific implementation of the information recommendation method mentioned in the embodiments of the present disclosure, and the following is an embodiment of the apparatus of the present disclosure, which may be used to implement the embodiments of the method of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 8 is a schematic structural diagram of an information recommendation device according to an embodiment of the present disclosure. The apparatus may be integrated in or implemented by a server. As shown in fig. 8, in the present embodiment, the information recommendation apparatus 100 may include:
a receiving unit 11, configured to receive location information reported by a first electronic device, where the location information is used to indicate a location of the first electronic device;
the processing unit 12 is configured to determine information to be recommended according to a target geo-fence to which a location point corresponding to the location information belongs, where the target geo-fence is included in a geo-fence set, and the geo-fences in the geo-fence set are generated according to historical search records of a plurality of second electronic devices in a reference area, where the historical search records are used for searching for the location point in the reference area;
a sending unit 13, configured to send the information to be recommended to the first electronic device.
In a feasible design, before the receiving unit 11 receives the location information reported by the first electronic device, the processing unit 12 is further configured to, at a first time point, obtain a location point set according to multiple historical search records in an effective time period when each of the multiple second electronic devices is located in the reference area, where the effective time period is a time period between the first time point and a second time point, the second time point is located before the first time point, and a duration of the effective time period is smaller than a preset threshold, cluster the location points in the location point set to obtain at least one cluster, where a distance between any two location points in the same cluster is smaller than the preset threshold, and determine, according to a geographic coordinate of each location point in each cluster in the at least one cluster, a geo-fence corresponding to the cluster, to obtain the set of geo-fences.
In a feasible design, the location point set further includes a type tag of each location point, where the type tag of each location point is used to indicate a type of a corresponding location point, and the processing unit 12, before determining, according to the geographic coordinates of each location point in each cluster of the at least one cluster, a geo-fence of the corresponding cluster, so as to obtain the geo-fence set, is further configured to, for each cluster of the at least one cluster, determine the number of times that location points having the same type tag in the cluster are searched, so as to obtain the number of times that each type tag of a plurality of type tags corresponds, and use the type tag with the largest number of times of search as the hot type tag of the cluster, so as to obtain the hot type tag of each cluster of the at least one cluster.
In a possible design, when determining the geo-fence of the corresponding cluster according to the geo-coordinates of the location points in each cluster of the at least one cluster to obtain the set of geo-fences, the processing unit 12 is configured to determine, for each cluster of the at least one cluster, an abscissa mean value and an ordinate mean value of the location points having the hot type label in each cluster to obtain a center of each cluster, and determine the geo-fence corresponding to each cluster of the at least one cluster according to the center of each cluster of the at least one cluster and a preset fence shape to obtain the set of geo-fences.
In one possible design, the processing unit 12 is further configured to determine, for each of the at least one cluster, that the number of location points having a hot type label in each of the clusters exceeds a preset number before determining, for each of the at least one cluster, an abscissa mean value and an ordinate mean value of the location points having a hot type label in the cluster to obtain a center of each cluster.
In a feasible design, the processing unit 12 is further configured to determine whether the existence duration of the geo-fence set exceeds a preset duration, and update the geo-fence set if the existence duration of the geo-fence set exceeds the preset duration.
In a feasible design, the processing unit 12 is configured to determine information that has been recommended to the first electronic device from the recommendation information corresponding to the target geo-fence, and filter the information that has been recommended to the first electronic device from the recommendation information corresponding to the target geo-fence, so as to obtain the information to be recommended.
The information recommendation device provided by the embodiment of the disclosure can be used in the method executed by the server in the above embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
According to an embodiment disclosed in the present application, an electronic device and a readable storage medium are also provided.
Fig. 9 is a block diagram of an electronic device for implementing an information recommendation method according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 9, the electronic apparatus includes: one or more processors 21, memory 22, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 9, one processor 21 is taken as an example.
The memory 22, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the information recommendation method in the embodiment of the present application (for example, the receiving unit 11, the processing unit 12, and the transmitting unit 13 shown in fig. 8). The processor 21 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 22, that is, implements the information recommendation method in the above method embodiment.
The memory 22 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the information recommendation electronic device, and the like. Further, the memory 22 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 22 may optionally include a memory remotely located from the processor 21, and these remote memories may be connected to the information recommendation electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device performing the information recommendation method may further include: an input device 23 and an output device 24. The processor 21, the memory 22, the input device 23 and the output device 24 may be connected by a bus or other means, and the bus connection is exemplified in fig. 9.
The input device 23 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the information recommendation electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input device. The output devices 24 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The embodiment of the present application further provides an information recommendation method, including: obtaining a plurality of historical search records in an effective time period at the current moment, wherein each historical search record in the plurality of historical search records is used for searching a position point in a reference area, and determining at least one geo-fence according to the plurality of historical search records, wherein the position point contained in the geo-fence is positioned in the reference area.
The specific implementation principle of this embodiment can be referred to the description of the above embodiment, and is not described herein again.
According to the technical scheme of the embodiment of the application, the server utilizes historical data of position points in a wide user inquiry reference area in advance to establish a geo-fence set corresponding to the reference area. In the information recommendation process, after the server receives the position information reported by the first electronic device, the server determines information to be recommended according to a target geo-fence to which a position point corresponding to the position information belongs and sends the information to the first electronic device. In the process, the server establishes the geo-fence by combining search histories of a large number of users in an effective time period, information is recommended to the users by using the geo-fence, and the position points in the geo-fence reflect popular position points of the public, so that the quality and the timeliness of the recommended information are greatly improved, and the purpose of information pushing accuracy can be improved.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (17)
1. An information recommendation method, comprising:
receiving position information reported by first electronic equipment, wherein the position information is used for indicating the position of the first electronic equipment;
determining information to be recommended according to a target geo-fence to which a position point corresponding to the position information belongs, wherein the target geo-fence is included in a geo-fence set, the geo-fence in the geo-fence set is generated according to historical search records of a plurality of second electronic devices in a reference area, and the historical search records are used for searching the position point in the reference area;
and sending the information to be recommended to the first electronic equipment.
2. The method of claim 1, wherein before receiving the location information reported by the first electronic device, the method further comprises:
obtaining a position point set at a first time point according to a plurality of historical search records in an effective time period when each second electronic device in the plurality of second electronic devices is located in the reference area, wherein the effective time period is a time period between the first time point and a second time point, the second time point is located before the first time point, and the duration of the effective time period is less than a preset threshold;
clustering each position point in the position point set to obtain at least one cluster, wherein the distance between any two position points in the same cluster is smaller than a preset threshold value;
and determining the geo-fence of the corresponding cluster according to the geo-coordinates of each position point in each cluster of the at least one cluster so as to obtain the geo-fence set.
3. The method of claim 2, wherein the set of location points further includes a type tag for each location point, the type tag for each location point being used to indicate a type of the corresponding location point, and wherein before determining the geofence of the corresponding cluster according to the geographic coordinates of the location points in each cluster of the at least one cluster to obtain the set of geofences, further comprising:
for each cluster in the at least one cluster, determining the number of times that position points with the same type tag in the cluster are searched to obtain the number of times that each type tag in a plurality of type tags corresponds to, and taking the type tag with the largest number of times of search as a hot type tag of the cluster to obtain the hot type tag of each cluster in the at least one cluster.
4. The method according to claim 3, wherein determining the geo-fence of the corresponding cluster according to the geo-coordinates of the location points in each cluster of the at least one cluster to obtain the set of geo-fences comprises:
for each cluster group in the at least one cluster group, determining an abscissa mean value and an ordinate mean value of each position point with a hot type label in each cluster group to obtain a center of each cluster group;
and determining a geo-fence corresponding to each cluster in the at least one cluster according to the center of each cluster in the at least one cluster and a preset fence shape to obtain the geo-fence set.
5. The method of claim 4, wherein before determining, for each cluster of the at least one cluster, an abscissa mean and an ordinate mean of the respective location points of the cluster having the hot type label to obtain a center of each cluster, further comprising:
for each cluster of the at least one cluster, determining that a number of location points having a hot type tag in each of the clusters exceeds a preset number.
6. The method according to any one of claims 1 to 5, further comprising:
judging whether the existing time length of the geo-fence set exceeds a preset time length or not;
and if the existing time length of the geo-fence set exceeds the preset time length, updating the geo-fence set.
7. The method according to any one of claims 1 to 5, wherein the determining information to be recommended according to the target geo-fence to which the location point corresponding to the location information belongs includes:
determining information recommended to the first electronic device from the recommendation information corresponding to the target geo-fence;
and filtering information recommended to the first electronic equipment from the recommendation information corresponding to the target geo-fence to obtain the information to be recommended.
8. An information recommendation apparatus, comprising:
the receiving unit is used for receiving position information reported by first electronic equipment, and the position information is used for indicating the position of the first electronic equipment;
the processing unit is configured to determine information to be recommended according to a target geo-fence to which a location point corresponding to the location information belongs, where the target geo-fence is included in a geo-fence set, and the geo-fences in the geo-fence set are generated according to historical search records of a plurality of second electronic devices in a reference area, where the historical search records are used for searching for the location point in the reference area;
and the sending unit is used for sending the information to be recommended to the first electronic equipment.
9. The apparatus of claim 8,
the processing unit, before the receiving unit receives the location information reported by the first electronic device, is further configured to obtain, at a first time point, a location point set according to a plurality of historical search records of each of the plurality of second electronic devices in the reference area within an effective time period, the effective time period is a time period between the first time point and a second time point, the second time point is before the first time point, the duration of the effective time period is less than a preset threshold value, clustering each position point in the position point set to obtain at least one cluster, wherein the distance between any two position points in the same cluster is less than a preset threshold value, and determining the geo-fence of the corresponding cluster according to the geo-coordinates of each position point in each cluster of the at least one cluster so as to obtain the geo-fence set.
10. The apparatus according to claim 9, wherein the set of location points further includes a type tag of each location point, the type tag of each location point being used to indicate a type of a corresponding location point, and the processing unit, before determining a geo-fence of a corresponding cluster according to geo-coordinates of each location point in each cluster of the at least one cluster, to obtain the set of geo-fences, is further configured to determine, for each cluster of the at least one cluster, a number of times that location points in the cluster having the same type tag are searched, to obtain a number of times that each type tag of a plurality of type tags corresponds, and use a type tag with a largest number of times of search as a hot type tag of the cluster, to obtain a hot type tag of each cluster of the at least one cluster.
11. The apparatus according to claim 10, wherein the processing unit, when determining the geo-fence of the corresponding cluster according to the geo-coordinates of the location points in each cluster of the at least one cluster to obtain the set of geo-fences, is configured to determine, for each cluster of the at least one cluster, an abscissa mean value and an ordinate mean value of the location points with the hotgate type label in each cluster to obtain a center of each cluster, and determine the geo-fence corresponding to each cluster of the at least one cluster according to the center of each cluster of the at least one cluster and a preset fence shape to obtain the set of geo-fences.
12. The apparatus of claim 11,
the processing unit is further configured to determine, for each of the at least one cluster, that the number of location points having a hot type tag in each of the clusters exceeds a preset number before determining, for each of the at least one cluster, an abscissa average value and an ordinate average value of the location points having a hot type tag in the cluster to obtain a center of each of the clusters.
13. The apparatus according to any one of claims 8 to 12,
the processing unit is further configured to determine whether the existence duration of the geo-fence set exceeds a preset duration, and update the geo-fence set if the existence duration of the geo-fence set exceeds the preset duration.
14. The apparatus according to any one of claims 8 to 12,
the processing unit is configured to determine information recommended to the first electronic device from the recommendation information corresponding to the target geo-fence, and filter information recommended to the first electronic device from the recommendation information corresponding to the target geo-fence to obtain the information to be recommended.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
17. An information recommendation method, comprising:
acquiring a plurality of historical search records in an effective time period at the current moment, wherein each historical search record in the plurality of historical search records is used for searching a position point in a reference area;
and determining at least one geo-fence according to the plurality of historical search records, wherein the geo-fence comprises position points which are positioned in the reference area.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010405936.8A CN111597445B (en) | 2020-05-14 | 2020-05-14 | Information recommendation method and device |
| KR1020210041413A KR102558968B1 (en) | 2020-05-14 | 2021-03-30 | Information recommendation method and device |
| JP2021059806A JP7214778B2 (en) | 2020-05-14 | 2021-03-31 | Information recommendation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010405936.8A CN111597445B (en) | 2020-05-14 | 2020-05-14 | Information recommendation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111597445A true CN111597445A (en) | 2020-08-28 |
| CN111597445B CN111597445B (en) | 2023-07-28 |
Family
ID=72185555
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010405936.8A Active CN111597445B (en) | 2020-05-14 | 2020-05-14 | Information recommendation method and device |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP7214778B2 (en) |
| KR (1) | KR102558968B1 (en) |
| CN (1) | CN111597445B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112015789A (en) * | 2020-09-01 | 2020-12-01 | 中国银行股份有限公司 | Knowledge base retrieval method and device, electronic equipment and computer storage medium |
| CN113129113A (en) * | 2021-05-13 | 2021-07-16 | 上海寻梦信息技术有限公司 | Geo-fence-based store matching method, system, device and storage medium |
| CN114301973A (en) * | 2021-12-24 | 2022-04-08 | 支付宝(杭州)信息技术有限公司 | Information recommendation processing method and device |
| CN115456704A (en) * | 2022-11-10 | 2022-12-09 | 一站发展(北京)云计算科技有限公司 | Service recommendation method and device based on electronic geo-fencing and storage medium |
| CN115526221A (en) * | 2022-04-19 | 2022-12-27 | 荣耀终端有限公司 | Positioning abnormity detection and processing method and related equipment |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20230082082A (en) * | 2021-12-01 | 2023-06-08 | 세종대학교산학협력단 | Method and system of recommending accommodation for tourists using multi-criteria decision making and augmented reality |
| CN114407652B (en) * | 2022-01-19 | 2024-04-12 | 亿咖通(湖北)技术有限公司 | Information display method, device and equipment |
| CN115422480B (en) * | 2022-10-31 | 2023-03-24 | 荣耀终端有限公司 | Method, apparatus and storage medium for determining region of event venue |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130006515A1 (en) * | 2011-06-30 | 2013-01-03 | France Telecom | Geo-spatial recommendation and discovery system |
| CN106441344A (en) * | 2016-09-18 | 2017-02-22 | 智车优行科技（北京）有限公司 | On-board music playing method and device based on geographical location information as well as vehicle |
| CN107291784A (en) * | 2016-04-13 | 2017-10-24 | 阿里巴巴集团控股有限公司 | Acquisition methods, device and the business device of geography fence classification |
| CN110324785A (en) * | 2019-07-02 | 2019-10-11 | 北京百度网讯科技有限公司 | Information recommendation method, device, equipment and computer readable storage medium |
| WO2020021319A1 (en) * | 2018-07-27 | 2020-01-30 | Yogesh Chunilal Rathod | Augmented reality scanning of real world object or enter into geofence to display virtual objects and displaying real world activities in virtual world having corresponding real world geography |
| CN110955820A (en) * | 2018-09-22 | 2020-04-03 | 北京微播视界科技有限公司 | Media information interest point recommendation method, device, server and storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5338614B2 (en) * | 2009-10-26 | 2013-11-13 | 日本電気株式会社 | Information providing server, client, and recording medium on which information providing search execution program is recorded |
| US20120295639A1 (en) * | 2011-05-18 | 2012-11-22 | Microsoft Corporation | Discovering nearby places based on automatic query |
| JP5552702B2 (en) * | 2012-09-20 | 2014-07-16 | ヤフー株式会社 | Facility selection device, operation method of facility selection device, and program |
| US8755824B1 (en) * | 2013-06-28 | 2014-06-17 | Google Inc. | Clustering geofence-based alerts for mobile devices |
-
2020
- 2020-05-14 CN CN202010405936.8A patent/CN111597445B/en active Active
-
2021
- 2021-03-30 KR KR1020210041413A patent/KR102558968B1/en active IP Right Grant
- 2021-03-31 JP JP2021059806A patent/JP7214778B2/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130006515A1 (en) * | 2011-06-30 | 2013-01-03 | France Telecom | Geo-spatial recommendation and discovery system |
| CN107291784A (en) * | 2016-04-13 | 2017-10-24 | 阿里巴巴集团控股有限公司 | Acquisition methods, device and the business device of geography fence classification |
| CN106441344A (en) * | 2016-09-18 | 2017-02-22 | 智车优行科技（北京）有限公司 | On-board music playing method and device based on geographical location information as well as vehicle |
| WO2020021319A1 (en) * | 2018-07-27 | 2020-01-30 | Yogesh Chunilal Rathod | Augmented reality scanning of real world object or enter into geofence to display virtual objects and displaying real world activities in virtual world having corresponding real world geography |
| CN110955820A (en) * | 2018-09-22 | 2020-04-03 | 北京微播视界科技有限公司 | Media information interest point recommendation method, device, server and storage medium |
| CN110324785A (en) * | 2019-07-02 | 2019-10-11 | 北京百度网讯科技有限公司 | Information recommendation method, device, equipment and computer readable storage medium |
Non-Patent Citations (2)
| Title |
|---|
| "Using Geofencing Ads & Geotargeting", Retrieved from the Internet <URL:https://audiencex.com/insights/using-geotargeting-geofencing-in-advertising-the-basics/> * |
| 佚名: "地理围栏" * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112015789A (en) * | 2020-09-01 | 2020-12-01 | 中国银行股份有限公司 | Knowledge base retrieval method and device, electronic equipment and computer storage medium |
| CN113129113A (en) * | 2021-05-13 | 2021-07-16 | 上海寻梦信息技术有限公司 | Geo-fence-based store matching method, system, device and storage medium |
| CN114301973A (en) * | 2021-12-24 | 2022-04-08 | 支付宝(杭州)信息技术有限公司 | Information recommendation processing method and device |
| CN115526221A (en) * | 2022-04-19 | 2022-12-27 | 荣耀终端有限公司 | Positioning abnormity detection and processing method and related equipment |
| CN115526221B (en) * | 2022-04-19 | 2023-10-24 | 荣耀终端有限公司 | Positioning abnormality detection and processing method and related equipment |
| CN115456704A (en) * | 2022-11-10 | 2022-12-09 | 一站发展(北京)云计算科技有限公司 | Service recommendation method and device based on electronic geo-fencing and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111597445B (en) | 2023-07-28 |
| KR102558968B1 (en) | 2023-07-21 |
| JP2021106032A (en) | 2021-07-26 |
| KR20210042286A (en) | 2021-04-19 |
| JP7214778B2 (en) | 2023-01-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111597445A (en) | Information recommendation method and device | |
| US9906906B1 (en) | Integrated geospatial activity reporting | |
| CN108668224B (en) | Base station position determining method, device, server and storage medium | |
| US11333510B2 (en) | Learning locations of interest using IoT devices | |
| EP2592885B1 (en) | System and method for acquiring statistics of navigation information | |
| US20210390124A1 (en) | Method for processing map data, device, and storage medium | |
| EP3125621B1 (en) | Geo-fencing based upon semantic location | |
| JP5871928B2 (en) | Method and apparatus for analyzing user traffic within a given area | |
| CN106201448B (en) | Information processing method and user terminal | |
| US20120295639A1 (en) | Discovering nearby places based on automatic query | |
| US20150186426A1 (en) | Searching information using smart glasses | |
| US9167389B1 (en) | Clustering location data to determine locations of interest | |
| CN109219953A (en) | A kind of alarm clock prompting method and terminal device | |
| CN112414420B (en) | Navigation method based on traffic flow and related device | |
| CN106980654B (en) | Road condition updating method, device and computer equipment | |
| JP2015095190A (en) | Attribute determining device, communication terminal, attribute determining method, and program | |
| CN113986378A (en) | Data processing method and device | |
| CN112153568B (en) | Wi-Fi identification and binding method, device and equipment based on service scene | |
| CN113139029A (en) | Processing method, mobile terminal and storage medium | |
| CN112507249A (en) | Method and device for generating interest points, electronic equipment and storage medium | |
| CN111694914A (en) | User resident area determining method and device | |
| CN111200836A (en) | Abnormality recognition method, abnormality positioning method, abnormality recognition device, abnormality positioning medium, and electronic device | |
| CN112883291B (en) | Destination position recommendation method and device and server | |
| CN112798005B (en) | Road data processing method and related device | |
| CN110191201B (en) | Method, device and equipment for displaying cell alias and computer storage 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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211025 Address after: 100176 101, floor 1, building 1, yard 7, Ruihe West 2nd Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing Applicant after: Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd. Address before: 2 / F, baidu building, 10 Shangdi 10th Street, Haidian District, Beijing 100085 Applicant before: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |