CN111597445B - Information recommendation method and device - Google Patents

Information recommendation method and device Download PDF

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CN111597445B
CN111597445B CN202010405936.8A CN202010405936A CN111597445B CN 111597445 B CN111597445 B CN 111597445B CN 202010405936 A CN202010405936 A CN 202010405936A CN 111597445 B CN111597445 B CN 111597445B
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cluster
information
geofence
recommended
location
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CN111597445A (en
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蔡志波
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Apollo Zhilian Beijing Technology Co Ltd
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Apollo Zhilian Beijing Technology Co Ltd
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Priority to KR1020210041413A priority patent/KR102558968B1/en
Priority to JP2021059806A priority patent/JP7214778B2/en
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    • 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
    • G06F16/90—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
    • 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
    • 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

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  • Databases & Information Systems (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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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 queries historical data of position points in the reference area by using a large number of users in advance, and establishes a geofence set corresponding to the reference area. In the information recommendation process, after receiving the position information reported by the first electronic equipment, the server determines information to be recommended according to a target geofence to which a position point corresponding to the position information belongs and sends the information to the first electronic equipment. In the process, the server establishes the geofence by combining the search histories of the majority of users in the effective time period, recommends information to the users by utilizing the geofence, and the position points in the geofence reflect the hot position points of the masses in the society, so that the quality and timeliness of the recommendable information are improved to a great extent, and the aim of improving the accuracy of information pushing is fulfilled.

Description

Information recommendation method and device
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 walking tool for people, and can provide various functions for users, such as entertainment functions, information pushed to a user display server and the like.
In the current information recommendation process under the vehicle-mounted scene, various application programs (APP) are loaded on an automobile central control, 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 a preset duration is displayed, for example, after 10 seconds, the APP jumps to the home page. In this way, the information displayed in carousel may be referred to as resident operation information, and the above-mentioned manner of displaying recommended information may be referred to as displaying recommended information in a desktop resident location.
In the process of displaying the recommended information through the desktop resident position, the recommended information needs to be set manually in advance. However, setting the recommendation information manually requires input of labor cost, and the user may not pay high attention to the recommendation information manually set, resulting in inaccurate information recommendation.
Disclosure of Invention
The embodiment of the application provides an information recommendation method and device, which are used for dynamically establishing a geofence by combining the search history of a historical user in an effective time period, and when a current user enters the geofence, recommending information to the current user according to the geofence, so that the aim of improving the accuracy of information pushing is fulfilled.
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 geofence to which a position point corresponding to the position information belongs, wherein the target geofence is contained in a geofence set, the geofences in the geofence set are 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 the first electronic equipment, and the position information is used for indicating the position of the first electronic equipment;
the processing unit is used for determining information to be recommended according to a target geofence to which the position point corresponding to the position information belongs, wherein the target geofence is contained in a geofence set, the geofences in the geofence set are 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 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 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 first aspect.
In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on an electronic device, cause the electronic device computer to perform the method of the first aspect or 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 the 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 history search records in an effective time period at the current moment, wherein each history search record in the plurality of history search records is used for searching a position point in a reference area; and determining at least one geofence according to the plurality of historical search records, wherein the geofence comprises position points which are positioned in the reference area.
One embodiment of the above application has the following advantages or benefits: by combining the search histories of the historical users in the effective time period, the geofence is dynamically established, and when the current user enters the geofence, information is recommended to the current user according to the geofence, so that the aim of improving the accuracy of information pushing is fulfilled.
Other effects of the above alternative will be described below in connection with specific embodiments.
Drawings
The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:
fig. 1A is a schematic diagram of a network architecture of an information recommendation method according to an embodiment of the present application;
fig. 1B is a schematic diagram of another network architecture of the information recommendation method provided in the 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 the information recommendation method provided in the embodiment of the present application;
FIG. 4 is a schematic diagram of geofence establishment in the information recommendation method provided by the embodiments of the present application;
FIG. 5 is a schematic diagram of a geofence in an information recommendation method provided by an embodiment of the present application;
FIG. 6 is a flow chart of dynamically establishing a geofence in an information recommendation method provided by 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 of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one 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.
In general, the attention of a user in an in-vehicle scene is focused on complex vehicle conditions. Therefore, if the server frequently pushes information to the central control of the automobile, such as operation advertisements, the recommendation process is mechanized, normal driving of the user can be seriously affected, and even safety accidents can be caused in serious cases. For this reason, information recommendation methods in existing in-vehicle scenes,
in most cases, manual intervention is adopted, for example, various APP is loaded on a central control (also called as a car machine) of a car, and after the APP is clicked, a plurality of pieces of information, for example, 5 pieces of information are displayed in a carousel mode, and each piece of information is displayed for 1 second. For another example, information pushed by the server is displayed in a form of embedding a mobile H5 webpage, and if a user clicks a button on a control screen, the user jumps to the H5 webpage. The information displayed by the carousel and the content displayed by the H5 page are preset by manual operation. 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 with nondeterministic directivity in manually set information, so that the attention of the user to the nondeterministic directivity information is not high, resulting in inaccurate information recommendation.
In view of this, the embodiment of the application provides an information recommendation method, which dynamically establishes a geofence by combining a history search record, and recommends information to a user by using the dynamic geofence, so as to achieve the purpose of improving the accuracy of information pushing.
Fig. 1A is a schematic diagram of a network architecture 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 located in a reference area at the current moment, such as a vehicle-mounted terminal device, a mobile phone, a tablet computer, a notebook computer, and the like, the reference area is, for example, a county area, an area where a city is located, and a base station area includes a plurality of location points, for example, hotels, scenic spots, food merchants, and the like. The second electronic device 2 is an electronic device that was located in the reference area for an effective period of time, for example, an electronic device that was located in the reference area before the current time, for example, an electronic device that was located in the reference area for the past 5 hours and that has performed the search for the location point behavior. The server 3 establishes a plurality of geofences within the reference area using the search record of the second electronic device 2 to form a set of geofences. When a first electronic device 1 enters a certain geofence (hereinafter referred to as target geofence), the server 3 recommends information about the location point of the hot door in the target geofence to the first electronic device 1.
Fig. 1B is a schematic diagram of another network architecture of the information recommendation method according to the embodiment of the present application. In comparison with the server 3 in fig. 1A, which integrates the functions of determining the target geographic location and determining the information to be recommended, the network architecture shown in fig. 1B includes two servers that are independently set, namely, the server 4 and the server 5, where the server 4 and the server 5 establish network connection, the server 4 is used for processing the location information, generating the geofence set, and the like, and the server 5 is used for providing the information to be recommended corresponding to each geofence. 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 geofences within the reference area using the search record of the second electronic device 2 to form a set of geofences. When the first electronic device 1 enters a certain geofence (hereinafter referred to as a target geofence), the server 3 transmits an identification of a hot location point within the target geofence, etc. to the server 5, and the server 5 determines information to be recommended and transmits 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 installed on a local APP (native APP) of the first electronic device 1, and may establish a network connection with an in-vehicle system on a central control of an automobile. The first electronic device 1 may report the location information to the server through the APP, receive information to be recommended sent by the server, and the like.
In fig. 1A and 1B, when the first electronic device 1 is a vehicle-mounted terminal, a plug-in or a software development kit (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.
Next, taking the architecture shown in fig. 1A as an example, the information recommendation method in the embodiment of the present application will be described in detail. 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 the first electronic equipment, wherein the position information is used for indicating the position of the first electronic equipment.
The location information may be longitude and latitude coordinates reported by the first electronic device, or may be a location point where the first electronic device is located, for example, a hotel, an intersection, etc., which is not limited in the embodiments of the present application.
102. And determining information to be recommended according to the target geofence 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 being generated from historical search records of a plurality of second electronic devices within a reference area, the historical search records being used to search for location points within the reference area.
Illustratively, some of the APP on the first electronic device may involve some location services (Location Based Service, LBS), also known as a location server or the like. Geofencing (Geo-fencing) is a new application of LBS, with a virtual fence enclosing a virtual geographic boundary. The server may push information to the first electronic device when the first electronic device enters, leaves, or is active within a certain geofence. The server pre-stores the geofence set corresponding to the reference area. The reference area may be a city, a county, a certain region of a city, etc. The server establishes a plurality of geofences in the reference area in advance according to the relevant historical data of the reference area, and any two geofences are independent or have intersection. Each geofence contains a plurality of location points, which may be hotels, schools, attractions, food merchants, etc.
After receiving the position information reported by the first electronic equipment, the server matches the position indicated by the position information with the area corresponding to each geofence in the geofence set, and if the position information falls into a certain geofence, the geofence is used as a target geofence. And then determining information to be recommended according to the target geofence. The information to be recommended may be, for example, information related to hot location points within the target geofence, such as characteristics of a hotel, etc.
103. And sending the information to be recommended to the first electronic equipment.
The server sends the information to be recommended determined according to the target geofence to the first electronic device for the first electronic device to display to the user. In the display process, if the first electronic device displays the information to be recommended in a full screen manner, after displaying the information to be recommended for a preset period of time, for example, 10 seconds, if the user does not react, that is, if the first electronic device receives a touch operation or a blank operation of the user on the touch screen, the information to be recommended is not displayed in a full screen manner, but is switched to the original picture. For example, the first electronic device is a vehicle-mounted terminal, and the vehicle-mounted terminal is located at a song playing interface before receiving the information to be recommended. And after receiving the information to be recommended, the vehicle-mounted terminal displays the information to be recommended in a full screen mode assuming that the information to be recommended is of hotel characteristics. If the user does not input the operation instruction by clicking the 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 queries historical data of position points in the reference area by using a large number of users in advance, and establishes a geofence set corresponding to the reference area. In the information recommendation process, after receiving the position information reported by the first electronic equipment, the server determines information to be recommended according to a target geofence to which a position point corresponding to the position information belongs and sends the information to the first electronic equipment. In the process, the server establishes the geofence by combining the search histories of the majority of users in the effective time period, recommends information to the users by utilizing the geofence, and the position points in the geofence reflect the hot position points of the masses in the society, so that the quality and timeliness of the recommendable information are improved to a great extent, and the aim of improving the accuracy of information pushing is fulfilled.
In the following, a detailed description is given of how the server dynamically establishes the geofence set for the reference area in the above embodiment.
First, a valid history search record is collected.
In a possible implementation manner, a set of location points is obtained at a first time point according to a plurality of history 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 smaller than a preset threshold.
The server, after identifying the reference area such as county, city, etc. where the first electronic device is currently located at the current time, obtains the location of the reference area. Based on the reference area, the server acquires a plurality of search records of the position points in the reference area searched by other second electronic devices by using the map APP. Any first time point for establishing a geofence aims at a specific reference area, and a server initially filters search records irrelevant to the reference area from a history search record, namely, filters search records used for searching other position points outside the reference area in the history search record, and only reserves the search records used for searching the position points inside the reference area. Then, for each search record of the remaining plurality of search records, the server determines whether the search record is within a set valid period of time, for example, a period of time between a first point of time and a second point of time, for example, a point of time 5 hours before and apart from the first point of time, that is, a history search record is a search record within 5 hours before the first point of time. If one search record is a record corresponding to the search behavior occurring within 5 hours before the current moment, the search record is used as an effective search record; if the search record is not a search record corresponding to a search behavior occurring within 5 hours before the current time, the search record is deleted, i.e., the search record cannot be used as an effective search record.
By adopting the scheme, the aim of ensuring timeliness of the information to be recommended is fulfilled by setting the effective time.
Next, hot search location points within the reference area are determined.
In a possible implementation manner, the server clusters each position point in the position point set to obtain at least one cluster, and the distance between any two position points in the same cluster is smaller than a preset threshold.
For example, for a reference area, after collecting a series of valid search records, the server clusters the location points that are close to each other by a density-based clustering algorithm. In the effective time period, a plurality of users initiate searching through the second electronic equipment, if the searching position points of the users are relatively close, the users are considered to be interested in pointing to the same user, and then the hot position points in one cluster are used as the hot position points of the cluster, and the information of the hot position points is recommended to the first electronic equipment when the information is recommended subsequently. By adopting the scheme, the aim of accurate recommendation is fulfilled by determining the hot position points.
Again, creation of a geofence.
For example, after obtaining a plurality of clusters in a reference area, geographic coordinates of location points in each cluster in at least one cluster may be determined, and thus a geofence for the corresponding cluster may be determined, to obtain the set of geofences. For example, referring to fig. 3, fig. 3 is a schematic diagram of a cluster in the information recommendation method provided in the embodiment of the present application.
Referring to fig. 3, a rectangular box shows a reference area, and a server clusters search records in an effective period to obtain two clusters, namely a cluster a and a cluster B, wherein the cluster a includes position points: hotel one, hotel two, hotel three, sight spot four, sight spot five and hotel six, the position point that cluster B contained has: hotel seven, food eight, food nine, food ten, store eleven and hotel twelve. For the cluster A, the server takes the average value of the abscissas of all the position points in the cluster A as the abscissas of the central point, takes the average value of the ordinates of all the position points in the cluster A as the ordinates of the central point, and further takes the central point as the circle center to make a circle which can cover at least all the position points in the cluster. The server then treats the circle as a geofence for cluster a. Similarly, a geofence for cluster B may be obtained, as shown by the dashed line. In addition, the radius of the geofence may also be a preset radius, such as 500 meters, and the like.
In the history search records stored or obtained by the server, the position point indicated by each search record is also provided with a type tag, and the type tag can be carried in a search request when the second electronic equipment initiates the search or can be determined by the server according to the position point searched by the second electronic equipment. During an active period, the user may be more concerned with the location points of a certain tag type. In order to accurately acquire the interests of the user, before determining the geofence of the corresponding cluster according to the geographic coordinates of each position point in each cluster in the at least one cluster to obtain the geofence set, the server further determines the searching times of the position points with the same type labels in the cluster to obtain the searching times corresponding to each type label in the plurality of type labels, and takes the type label with the largest searching times as the hot type label of the cluster to obtain the hot type label of each cluster in the at least one cluster.
For example, referring to fig. 3, a cluster includes location points of various tag types, for example, the type tags of the location points in cluster B are food, market and hotel. If the first electronic device enters the geofence corresponding to the cluster B, the server recommends information of a food, a market or a hotel to the first electronic device according to the position points in the cluster B, and the information is complex and may not be capable of representing popular information. For this purpose, the server screens the type tags corresponding to the location points with the largest occurrence number based on the voting rule, that is, the server counts the number of times that the location point of each tag type is searched, for example, the cluster B is found to be within the effective period: hotel seven is searched for 240 times, food eight is searched for 45 times, food nine is searched for 78 times, food ten is searched for 120 times, mall 11 is searched for 15 times, hotel twelve is searched for 147 times, then type label is searching times of hotel=240+147=387 times, type label is searching times of hotel=45+78+54=177 times, type label is searching times of mall is 15, type label is searching times of hotel is the most. The data indicate that: in the effective time period, the user is more concerned about 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, in the process of determining the geofence set, the server determines, for each cluster in the at least one cluster, an average value of an abscissa and an average value of an ordinate of each position point with the hot tag type in the cluster to obtain a center of each cluster, and determines, according to the center of each cluster in the at least one cluster and a preset fence shape, a geofence corresponding to each cluster in the at least one cluster to obtain the geofence set. The preset fence shape is, for example, circular, rectangular, etc., and the embodiment of the present application is not limited. In the process, the purpose of establishing the geofence is realized by utilizing the mode of the coordinate mean value of the position points.
Referring to fig. 4 for the process of establishing a geofence for the cluster B in fig. 3, fig. 4 is a schematic diagram of establishing a geofence in the information recommendation method provided in the embodiment of the application. Referring to fig. 4, the server first eliminates the location points of other types of tags from the cluster B, for example, the location points of types of tags are food and market, and only retains the location points of one type of tags, for example, the location points of hotel types. And then, the server takes the average value of the abscissas of the seven hotels and the twelve hotels in the cluster B as the abscissas of the central point, takes the average value of the ordinates of the seven hotels and the twelve hotels in the cluster B as the ordinate of the central point, and further takes the central point as the circle center and the preset radius as the radius to make a circle. The server then treats the circle as a geofence for cluster B.
By adopting the scheme, the information to be recommended with obvious public tendencies can be determined from a plurality of pieces of information according to the popular label.
Again, a geofence is maintained.
In the embodiment of the application, after the geofences in the geofence set are established, the server periodically judges whether the existence duration of the geofence set exceeds a preset duration, and if the existence duration of the geofence set exceeds the preset duration, the geofence set is updated; if the duration of the geofence set does not exceed the preset duration, continuing to use the geofence. That is, after the geofence is created, the created geofence needs to be recovered in time according to a preset effective time, so as to ensure that the geofence which accords with the social hotspot of the current period is dynamically created by combining the analysis result of the historical search record of the latest user in the next effective time period.
Illustratively, each geofence in the set of geofences is valid for a period of time, such as 5 hours. The server reestablishes the geofence from the historical search records over the last 5 hours for 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 geofence in the information recommendation method provided in the embodiment of the present application. Referring to FIG. 5, an effective time period 1:00-5 is 4 hours: in 00, the server clusters historical search records related to the reference area before 1:00 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 contained has: hotel seven, food eight, food nine, food ten, store eleven and hotel twelve. The server obtains a set of geofences comprising two geofences from cluster a and cluster B. Effective time period 1:00-5:00, if the first electronic equipment enters the geofence corresponding to the cluster A, pushing related information of hot position points in the cluster A to the first electronic equipment; similarly, if the first electronic device enters the geofence corresponding to the cluster B, relevant information of hot position points in the cluster B is pushed to the first electronic device.
Starting at 5:00, the server utilizes 5: the second electronic device searches for location points within the reference area before 00 and establishes a geofence for the next valid period of time. In the building process, the server clusters historical search records related to the reference area before 5:00 to obtain 3 clusters, namely a cluster C, a cluster D and a cluster E, wherein the cluster A comprises the following position points: scenic spot four, scenic spot five and scenic spot thirteen, the cluster group B contains the position points: hotel seven, food eight, food nine, food ten, and the cluster group E contains hotel gas, hotel fourteen and scenic spot fifteen in the position points. The server obtains a set of geofences comprising three geofences from cluster C, cluster D, and cluster E. Thereafter, the geofences within the set of geofences are made valid, often times for 5 hours, and within 5 hours, 5:00-10:00, information is recommended to the first electronic device based on the geofences within the set of geofences.
By adopting the scheme, the geofence is dynamically established, so that the information recommended to the first electronic equipment by the server is guaranteed to follow the focus of public attention. Meanwhile, by dynamically establishing the geofence, the cost of the server for maintaining a large number of geofence records is reduced to a certain extent.
FIG. 6 is a flowchart for dynamically establishing a geofence in an information recommendation method provided in an embodiment of the present application, including the following steps:
201. a reference region is determined.
Illustratively, after the server identifies a reference area, such as a county, city, etc., 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 within the reference area.
The server collects a plurality of search records of location points in the reference area by using the map APP.
203. The server traverses each search record of the plurality of search records and determines a valid search record from the plurality of search records.
204. The server aggregates the position points with similar distances based on a clustering algorithm of the density to obtain a plurality of clusters.
205. The server screens out hot type labels in each cluster based on voting rules.
206. The server determines whether the number of location points of the thermal door type tag in the cluster is greater than or equal to a preset number, and if the number of location points of the thermal door type tag in the cluster is greater than or equal to the preset number, step 207 is executed; and if the number of the position points of the thermal door type label in the cluster is smaller than the preset number, ending.
For example, to avoid that too few location points in one cluster group result in generation of a large amount of recommended information without obvious public tendencies, the server determines, for each cluster group in at least one cluster group, whether the number of location points with hot type tags in the cluster group exceeds a preset threshold, and if the number exceeds the preset number, the server executes step 207 to indicate that the information related to the location points with the hot type tags has obvious public tendencies; if the number of location points of the hot type tag in the cluster is less than the preset number, the information related to the location points of the hot type tag is not obvious in public tendencies, so that the geofence is not required to be established for the cluster.
207. And deleting the position points without the hot type label from the cluster, and aggregating the position points with the hot type label to obtain a new cluster.
208. And determining the centroid coordinates of the new cluster by utilizing the coordinates of the position points in the new cluster.
For each cluster of the at least one cluster, the server determines an average of the abscissa and an average of the ordinate of the location points of the cluster having the hot type label to obtain a center of each cluster, which may also be referred to as centroid coordinates of the new cluster.
209. Geofences are established centered on centroid coordinates.
For each cluster, the server completes the creation process of the virtual geofence with a range of a certain radius by changing the centroid coordinates of the cluster as the center, thereby obtaining a geofence set.
210. Judging whether the existing time of the current geofence set exceeds the designated time, and ending the creation of the geofence if the existing time of the geofence set does not exceed the designated time; if the time of existence of the set of geofences exceeds the specified time, then step 201 is returned.
Illustratively, assuming that the server creates a set of geofences 5 o ' clock and designates that the geofence is valid 10 o ' clock ago, during the use of the geofences in the set of geofences by the server, it detects if the current time exceeds 10 o ' clock, and if not, continues to use the geofence; if 10 points are exceeded, the geofence is re-established.
In the above embodiments, the following describes in detail how the server pushes information. For example, referring 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 equipment acquires the position information in real time.
Illustratively, the first electronic device is located in real time by a global positioning system (Global Positioning System, GPS) to obtain the location 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 geofence according to the identity of the first electronic equipment.
The historical recommendation information is information which is recommended to the first electronic equipment.
305. And filtering information which is recommended to the first electronic equipment from the recommended information corresponding to the target geofence to obtain the information to be recommended.
For example, the possibility that the driving coverage area is larger, namely, because the vehicle is continuously driven, the creation of the geofence needs to ensure that the information is pushed to the user at the moment when the vehicle enters the geofence, and meanwhile, the recommendation of the information based on the geofence is not suitable to be triggered excessively, so that the same information is not pushed to the first electronic equipment frequently in the driving process.
In order to solve the problem, the first electronic device reports the Identity (ID) of itself to the server while reporting the location information, so that the server can update the information that has been transmitted to the first electronic device. For example, after the server 8 points push information to the first electronic device, the information is marked as a history recommended information, an expiration time stamp is marked on the history recommended information, and 10 points indicate that the information is not pushed to the first electronic device before the server 10 points.
Referring to fig. 5, cluster E and cluster D have a same location point: eight kinds of food. Regardless of the type of hot tag, after the first electronic device enters the geofence corresponding to the cluster D, the server pushes information related to hotel seven, food eight, food nine and food ten to the first electronic device, and each piece of information is marked with an expiration time stamp. When the first electronic device enters the geofence corresponding to the cluster group E from the cluster group D, the server finds that the information about the food eight is marked with an expiration time stamp, and the time indicated by the expiration time stamp is not reached at the current moment, so that the server does not push the information about the food eight to the first electronic device.
306. And the server sends 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 society are mined in real time by combining the historical search records, and the abundant information about the popular position points is recommended to the first electronic equipment by dynamically establishing the scheme of the virtual geofence, so that the quality and timeliness of the recommended information are improved to a great extent. Meanwhile, the most timely information is pushed to the user under the condition that the user does not have any perception, so that the user experience of vehicle-computer interaction is effectively improved.
The specific implementation of the information recommendation method mentioned in the embodiments of the present disclosure is introduced, and the following is an embodiment of the apparatus of the present disclosure, which may be used to execute the embodiments of the method of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
Fig. 8 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present disclosure. The apparatus may be integrated in a server 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 where the first electronic device is located;
A processing unit 12, configured to determine information to be recommended according to a target geofence to which a location point corresponding to the location information belongs, where the target geofence is included in a geofence set, and the geofences in the geofence 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 the location points in the reference area;
and the sending unit 13 is used for sending the information to be recommended to the first electronic equipment.
In a feasible design, before the receiving unit 11 receives the position information reported by the first electronic device, the processing unit 12 is further configured to, at a first time point, obtain a set of position points according to a plurality of history 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, 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, where a duration of the effective time period is less than a preset threshold, cluster each position point in the set of position points, obtain at least one cluster, and determine a geofence of a corresponding cluster according to geographic coordinates of each position point in each cluster in the at least one cluster, where a distance between any two position points in the same cluster is less than the preset threshold, so as to obtain the geofence of the set.
In a possible 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 the corresponding location point, and before determining a geofence of the corresponding cluster according to a geographic coordinate of each location point in each cluster in the at least one cluster group to obtain the geofence set, the processing unit 12 is further configured to determine, for each cluster group in the at least one cluster group, a search number of times that location points having the same type tag in the cluster group are searched to obtain a search number of times corresponding to each type tag in the plurality of type tags, and use the type tag with the largest search number of times as a hot type tag of the cluster group to obtain a hot type tag of each cluster group in the at least one cluster group.
In a possible design, the processing unit 12 is configured to determine, when determining the geofence of the corresponding cluster according to the geographic coordinates of the location points in each cluster in the at least one cluster to obtain the geofence set, for each cluster in the at least one cluster, determine, for each cluster in the at least one cluster, an average value of an abscissa and an average value of an ordinate of the location points with a hot type label to obtain a center of each cluster, and determine, according to the center of each cluster in the at least one cluster and a preset fence shape, a geofence corresponding to each cluster in the at least one cluster to obtain the geofence set.
In a possible design, the processing unit 12 is further configured to determine, for each cluster group of the at least one cluster group, that the number of location points with a popular type label in each cluster group exceeds a preset number before determining, for each cluster group of the at least one cluster group, an abscissa mean and an ordinate mean of location points with a popular type label in the cluster group to obtain a center of each cluster group.
In a possible design, the processing unit 12 is further configured to determine whether the duration of the presence of the set of geofences exceeds a preset duration, and update the set of geofences if the duration of the presence of the set of geofences exceeds the preset duration.
In a possible design, the processing unit 12 is configured to determine information that has been recommended to the first electronic device from the recommended information corresponding to the target geofence, and filter the information that has been recommended to the first electronic device from the recommended information corresponding to the target geofence, so as to obtain the information to be recommended.
The information recommending apparatus provided in the embodiments of the present disclosure may be used in the method executed by the server in the above embodiments, and its implementation principle and technical effects are similar, and are not described herein again.
According to embodiments disclosed herein, 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 of 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 telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 9, the electronic device includes: one or more processors 21, memory 22, and interfaces for connecting the 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 executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). In fig. 9, a processor 21 is taken as an example.
Memory 22 is a non-transitory computer-readable storage medium provided herein. The memory stores instructions executable by the at least one processor to cause the at least one processor to perform the information recommendation method provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to execute the information recommendation method provided by the present application.
The memory 22 is used as a non-transitory computer readable storage medium for storing a non-transitory software program, a non-transitory computer executable program, and modules such as program instructions/modules (e.g., the receiving unit 11, the processing unit 12, and the transmitting unit 13 shown in fig. 8) corresponding to the information recommendation method in the embodiment of the present application. The processor 21 executes various functional applications of the server and data processing, i.e., implements the information recommendation method in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in the memory 22.
The memory 22 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created by recommending the use of the electronic device according to the information, and the like. In addition, 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, memory 22 may optionally include memory located remotely from processor 21, which 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 otherwise, for example in fig. 9.
The input device 23 may receive entered 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, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, trackball, joystick, and like input devices. The output means 24 may include a display device, auxiliary lighting means (e.g., LEDs), tactile feedback means (e.g., vibration motors), and the like. 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 may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
The embodiments of the present application also provide a computer program product, including a computer program, where the processor 21 reads the computer program stored in the memory 22, and runs the computer program to perform the information recommendation method provided in the present application. Computer programs are also known as computing programs (also known as programs, software applications, or code) that include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. 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 pointing device (e.g., a mouse or 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 may 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 input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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 a client and a server. The client and server are typically 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 application also provides an information recommendation method, which comprises the following steps: and 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 geofence according to the plurality of historical search records, wherein the position point contained in the geofence is positioned in the reference area.
The specific implementation principle of this embodiment may be referred to the description of the foregoing embodiment, and will not be repeated herein.
According to the technical scheme of the embodiment of the application, the server queries historical data of the position points in the reference area by using a large number of users in advance, and establishes a geofence set corresponding to the reference area. In the information recommendation process, after receiving the position information reported by the first electronic equipment, the server determines information to be recommended according to a target geofence to which a position point corresponding to the position information belongs and sends the information to the first electronic equipment. In the process, the server establishes the geofence by combining the search histories of the majority of users in the effective time period, recommends information to the users by utilizing the geofence, and the position points in the geofence reflect the hot position points of the masses in the society, so that the quality and timeliness of the recommendable information are improved to a great extent, and the aim of improving the accuracy of information pushing is fulfilled.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.

Claims (15)

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 geofence to which a position point corresponding to the position information belongs, wherein the target geofence is contained in a geofence set, the geofences in the geofence set are 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;
transmitting the information to be recommended to the first electronic equipment, wherein the information to be recommended is information related to hot location points in the target geofence, and the related information comprises hotel information, market information and food information;
Judging whether the existence time length of the geofence set exceeds a preset time length;
and if the existence duration of the geofence set exceeds the preset duration, updating the geofence set.
2. The method of claim 1, further comprising, prior to receiving the location information reported by the first electronic device:
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 smaller than a preset threshold;
clustering the position points in the position point set to obtain at least one cluster group, wherein the distance between any two position points in the same cluster group is smaller than a preset threshold value;
and determining the geofence of the corresponding cluster according to the geographic coordinates of each position point in each cluster in the at least one cluster, so as to obtain the geofence 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 indicating a type of the corresponding location point, and wherein determining the geofence for each cluster based on the geocoordinates of each location point in each cluster in the at least one cluster to obtain the set of geofences further comprises:
And for each cluster in the at least one cluster, determining the searching times of the position points with the same type labels in the cluster to obtain the searching times corresponding to each type label in the plurality of type labels, and taking the type label with the largest searching times as the hot type label of the cluster to obtain the hot type label of each cluster in the at least one cluster.
4. The method of claim 3, wherein determining the geofence for each cluster based on the geocoordinates of the location points in each cluster in the at least one cluster to obtain the set of geofences comprises:
for each cluster in the at least one cluster, determining an abscissa mean value and an ordinate mean value of all position points with hot type labels in each cluster to obtain the center of each cluster;
and determining the geofence corresponding to each cluster in the at least one cluster according to the center of each cluster in the at least one cluster and the preset fence shape, so as to obtain the geofence set.
5. The method of claim 4, wherein determining, for each cluster in the at least one cluster, an abscissa mean and an ordinate mean of the location points in the cluster having a hot type label to obtain a center of each cluster, further comprises:
And for each cluster group in the at least one cluster group, determining that the number of position points with hot type labels in each cluster group exceeds a preset number.
6. The method according to any one of claims 1 to 5, wherein determining the information to be recommended according to the target geofence to which the location point corresponding to the location information belongs includes:
determining information which is already recommended to the first electronic equipment from recommended information corresponding to the target geofence;
and filtering information which is recommended to the first electronic equipment from the recommended information corresponding to the target geofence to obtain the information to be recommended.
7. An information recommendation device, characterized by comprising:
the receiving unit is used for receiving position information reported by the first electronic equipment, and the position information is used for indicating the position of the first electronic equipment;
the processing unit is used for determining information to be recommended according to a target geofence to which the position point corresponding to the position information belongs, wherein the target geofence is contained in a geofence set, the geofences in the geofence set are 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;
The sending unit is used for sending the information to be recommended to the first electronic equipment, wherein the information to be recommended is information related to hot location points in the target geofence, and the related information comprises hotel information, market information and food information;
the processing unit is further configured to determine whether a duration of existence of the geofence set exceeds a preset duration, and if the duration of existence of the geofence set exceeds the preset duration, update the geofence set.
8. The apparatus of claim 7, wherein the device comprises a plurality of sensors,
the processing unit is further configured to, before the receiving unit receives the location information reported by the first electronic device, obtain a location point set according to a plurality of history 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 at a first time point, 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, a duration of the effective time period is smaller than a preset threshold, cluster each location point in the location point set to obtain at least one cluster, a distance between any two location points in the same cluster is smaller than the preset threshold, and determine a geofence of the corresponding cluster according to a geographic coordinate of each location point in each cluster in the at least one cluster, so as to obtain the geofence set.
9. The apparatus of claim 8, wherein the set of location points further includes type tags for each location point, the type tag for each location point being used to indicate a type of the corresponding location point, and wherein the processing unit, before determining a geofence for the corresponding cluster based on the geographic coordinates of each location point in each cluster in the at least one cluster to obtain the set of geofences, is further configured to determine, for each cluster in the at least one cluster, a number of times that location points in the cluster that have the same type tag are searched to obtain a number of searches corresponding to each type tag in the plurality of type tags, and use the type tag with the largest number of searches as a hot type tag for the cluster to obtain a hot type tag for each cluster in the at least one cluster.
10. The apparatus of claim 9, wherein the processing unit, when determining the geofence for each cluster according to the geocoordinates of the location points in each cluster in the at least one cluster to obtain the geofence set, is configured to determine, for each cluster in the at least one cluster, an average value of an abscissa and an average value of an ordinate of the location points with a hot type label in each cluster to obtain a center of each cluster, and determine, according to the center of each cluster in the at least one cluster and a preset fence shape, a geofence corresponding to each cluster in the at least one cluster to obtain the geofence set.
11. The apparatus of claim 10, wherein the device comprises a plurality of sensors,
the processing unit is further configured to determine, for each cluster group of the at least one cluster group, that the number of location points with the hot type label in each cluster group exceeds a preset number before determining, for each cluster group of the at least one cluster group, an abscissa mean value and an ordinate mean value of location points with the hot type label in the cluster group to obtain a center of each cluster group.
12. The device according to any one of claims 7 to 11, wherein,
the processing unit is configured to determine information that has been recommended to the first electronic device from the recommended information corresponding to the target geofence, and filter out the information that has been recommended to the first electronic device from the recommended information corresponding to the target geofence, so as to obtain the information to be recommended.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
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 1-6.
14. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
15. An information recommendation method, comprising:
acquiring a plurality of history search records in an effective time period at the current moment, wherein each history search record in the plurality of history search records is used for searching a position point in a reference area;
determining at least one geofence from the plurality of historical search records, the geofence comprising location points within the reference area, the geofence being comprised in a set of geofences;
judging whether the existence time length of the geofence set exceeds a preset time length;
and if the existence duration of the geofence set exceeds the preset duration, updating the geofence set.
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