CN113326451A

CN113326451A - Method and device for pushing information

Info

Publication number: CN113326451A
Application number: CN202110665351.4A
Authority: CN
Inventors: 刘伟科; 郐洪楠; 韩卫召; 沈俊杰
Original assignee: Beijing Wodong Tianjun Information Technology Co Ltd
Current assignee: Beijing Wodong Tianjun Information Technology Co Ltd
Priority date: 2021-06-16
Filing date: 2021-06-16
Publication date: 2021-08-31

Abstract

The embodiment of the disclosure discloses a method and a device for pushing information. One embodiment of the method comprises: acquiring a candidate push information set corresponding to a destination of a user; determining user association information in the candidate push information set, wherein the user association information comprises candidate push information of which the association degree with the user is greater than a preset threshold value; deleting the determined user association information from the candidate push set to obtain an updated candidate push information set; and selecting the candidate push information from the updated candidate push information set as push information and pushing. The implementation mode helps to reduce the disturbance brought to the user by information pushing.

Description

Method and device for pushing information

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for pushing information.

Background

With the popularization of mobile terminals and the rapid development of mobile internet, a service mode in which a server actively pushes information to a mobile terminal appears on the basis of a traditional service mode in which a client actively requests information to a server. How to more intelligently push information to a user of a mobile terminal to meet the actual requirements of the user is one of the directions of continuous research under the information pushing mode of the mobile terminal.

The existing information push mode for the mobile terminal mainly comprises: information push based on Wi-Fi (wireless communication technology) and information push based on GPS (Global Positioning System, timed ranging navigation satellite). The information push method based on Wi-Fi generally identifies the place where a user is located according to Wi-Fi accessed by a mobile terminal used by the user, and then pushes information around the identified place to the user. The information push method based on the GPS mainly utilizes the GPS to position the user, and then pushes the information near the current position of the user to the user.

Disclosure of Invention

The embodiment of the disclosure provides a method and a device for pushing information.

In a first aspect, an embodiment of the present disclosure provides a method for pushing information, where the method includes: acquiring a candidate push information set corresponding to a destination of a user; determining user association information in the candidate push information set, wherein the user association information comprises candidate push information of which the association degree with the user is greater than a preset threshold value; deleting the determined user association information from the candidate push set to obtain an updated candidate push information set; and selecting the candidate push information from the updated candidate push information set as push information and pushing.

In some embodiments, the selecting the candidate push information from the updated candidate push information set as the push information and pushing includes: and pushing the selected pushing information to the terminal equipment used by the user before the user reaches the destination.

In some embodiments, the determining the user association information in the candidate push information set includes: predicting preference information of a user at a destination; and determining candidate push information corresponding to the preference information in the candidate push information set as user association information.

In some embodiments, the method for pushing information further includes: in response to detecting a user behavior indicating a user trip, a destination of the user trip is determined.

In some embodiments, the pushing the selected push information to the terminal device used by the user before the user reaches the destination includes: and pushing the selected pushing information to the terminal equipment used by the user on the way of the user going out and before the user reaches the destination.

In some embodiments, the determining the travel destination of the user includes: determining a regular track entropy for representing a travel track of a user according to historical communication data of the user and attribute information of a base station corresponding to the historical communication data, wherein the attribute information comprises positioning accuracy and distribution density; and predicting the traveling destination of the user according to the track entropy.

In some embodiments, the method for pushing information further includes: recording behavior information of a user, wherein the behavior information comprises at least one of the following items: indication information for indicating whether the user reaches the destination, and behavior information of the object indicated by the push information after the user reaches the destination.

In a second aspect, an embodiment of the present disclosure provides an apparatus for pushing information, the apparatus including: an acquisition unit configured to acquire a candidate push information set corresponding to a destination of a user; an information determining unit configured to determine user association information in a candidate push information set, wherein the user association information includes candidate push information of which the association degree with a user is greater than a preset threshold; an updating unit configured to delete the determined user association information from the candidate push set, resulting in an updated candidate push information set; a push unit configured to select candidate push information from the updated set of candidate push information as push information and push.

In some embodiments, the above-mentioned pushing unit is further configured to: and pushing the selected pushing information to the terminal equipment used by the user before the user reaches the destination.

In some embodiments, the information determining unit is further configured to: predicting preference information of a user at a destination; and determining candidate push information corresponding to the preference information in the candidate push information set as user association information.

In some embodiments, the above apparatus for pushing information further includes: a destination determination unit configured to: in response to detecting a user behavior indicating a user trip, a destination of the user trip is determined.

In some embodiments, the above-mentioned pushing unit is further configured to: and pushing the selected pushing information to the terminal equipment used by the user on the way of the user going out and before the user reaches the destination.

In some embodiments, the destination determining unit is further configured to: determining a regular track entropy for representing a travel track of a user according to historical communication data of the user and attribute information of a base station corresponding to the historical communication data, wherein the attribute information comprises positioning accuracy and distribution density; and predicting the traveling destination of the user according to the track entropy.

In some embodiments, the above apparatus for pushing information further includes: a recording unit configured to: recording behavior information of a user, wherein the behavior information comprises at least one of the following items: indication information for indicating whether the user reaches the destination, and behavior information of the object indicated by the push information after the user reaches the destination.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation of the first aspect.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, which computer program, when executed by a processor, implements the method as described in any of the implementations of the first aspect.

According to the method and the device for pushing the information, the candidate pushing information with the high degree of association with the user is filtered out from the candidate pushing information set corresponding to the destination of the user, so that the candidate pushing information set is selected from the updated candidate pushing information set to be pushed to the user, the information with the high degree of association with the user can be prevented from being frequently pushed to the user to a certain extent, and therefore the disturbance brought to the user due to information pushing is reduced.

Drawings

Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present disclosure may be applied;

FIG. 2 is a flow diagram for one embodiment of a method for pushing information, according to the present disclosure;

FIG. 3 is a flow diagram of yet another embodiment of a method for pushing information according to the present disclosure;

FIG. 4 is a flow diagram of yet another embodiment of a method for pushing information according to the present disclosure;

FIG. 5 is a schematic diagram of one application scenario of a method for pushing information, in accordance with an embodiment of the present disclosure;

FIG. 6 is a schematic block diagram illustrating one embodiment of an apparatus for pushing information according to the present disclosure;

FIG. 7 is a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.

Detailed Description

The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 shows an exemplary architecture 100 to which embodiments of the method for pushing information or the apparatus for pushing information of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The

terminal devices

101, 102, 103 interact with a server 105 via a network 104 to receive or send messages or the like. Various client applications may be installed on the

terminal devices

101, 102, 103. Such as search-type applications, browser-type applications, shopping-type applications, instant messaging tools, social platform applications, information tearing applications, and so forth.

The

terminal apparatuses

101, 102, and 103 may be hardware or software. When the

terminal devices

101, 102, 103 are hardware, they may be various electronic devices including, but not limited to, various mobile terminals such as smart phones, tablet computers, e-book readers, laptop computers, and the like. When the

terminal apparatuses

101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.

The server 105 may be a server that provides various services, such as a backend server that provides support for client applications installed on the

terminal devices

101, 102, 103. The server may push information to the

terminal apparatuses

101, 102, 103 according to requests of the

terminal apparatuses

101, 102, 103, or may actively push information to the

terminal apparatuses

101, 102, 103.

It should be noted that the method for pushing information provided by the embodiment of the present disclosure is generally performed by the server 105, and accordingly, the apparatus for pushing information is generally disposed in the server 105.

The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to fig. 2, a flow 200 of one embodiment of a method for pushing information in accordance with the present disclosure is shown. The method for pushing the information comprises the following steps:

step 201, a candidate push information set corresponding to a destination of a user is obtained.

In the present embodiment, the destination of the user may refer to a destination of the user's trip. The push information may be various types of information including, but not limited to, at least one of text, images, video, audio, and the like.

The candidate push information set corresponding to the destination may be composed of several candidate push information sets associated with the destination. The candidate push information associated with the destination may refer to push information having various associations with the target location. The incidence relation can be flexibly set according to the actual application scene or application requirements.

For example, the candidate push information associated with the destination may include push information that describes an object located near the destination. For example, when the push information is introduction information of a building, if the building is located near the destination, the push information may be considered as candidate push information associated with the destination.

In the present embodiment, the execution subject of the method for pushing information (such as the server 105 shown in fig. 1) may acquire a candidate push information set corresponding to the destination of the user in various methods. For example, a local or other storage device (e.g., a connected database, etc.) of the executing agent may pre-store a correspondence between the destination and the candidate push information sets. At this time, the execution subject may acquire a candidate push information set corresponding to the destination of the user by querying a pre-stored correspondence relationship. For another example, the executing entity may query push information corresponding to each object near the user's destination in real time and combine the push information to form a candidate push information set corresponding to the destination.

Step 202, determining user association information in the candidate push information set.

In this embodiment, the user association information may refer to candidate push information whose association degree with the user is greater than a preset threshold. The association degree of the candidate push information with the user can be determined by various methods according to the actual application requirements. For example, the degree of association between the candidate push information and the user is the similarity between the candidate push information and the historical browsing information of the user at the destination. The preset threshold value can be preset by a technician according to the actual application requirement.

The execution main body may respectively calculate a degree of association between each candidate push information in the candidate push information set and the user, and then determine, from the candidate push information set, a candidate push information whose corresponding degree of association is greater than a preset threshold value as the user association information.

The association degree between the candidate push information and the user can be determined by various methods. For example, a similarity between the candidate push information and the interest tag of the user may be calculated as an association degree between the candidate push information and the user. The interest tags of the user may indicate the interests of the user.

Step 203, deleting the determined user association information from the candidate push set to obtain an updated candidate push information set.

In this embodiment, after determining the user association information, the user association information may be further deleted from the candidate push information set, so as to obtain an updated candidate push information set,

step 204, selecting candidate push information from the updated candidate push information set as push information and push.

In this embodiment, after obtaining the updated candidate push information set, the candidate push information may be selected from the updated candidate push information set as the push information, and the selected push information is pushed.

The method for selecting the candidate push information from the updated candidate push information set can be flexibly set. For example, a specified number of candidate push information may be randomly chosen from the updated set of candidate push information. For another example, a specified number of candidate push information sets may be selected from the updated candidate push information sets in order of decreasing degrees of correspondence.

In some optional implementations of this embodiment, the user association information in the candidate push information set may be determined by:

step one, predicting preference information of a user at a destination.

In this step, the preference information of the user may refer to information that is relatively interested in the user, and specifically, various methods may be adopted to predict the preference information of the user at the destination. For example, the preference information of the user at the destination may be predicted from the historical behavior information of the user at the destination. As an example, information that the user browsed at the destination before the current time may be taken as the preference information of the user.

And step two, determining candidate push information corresponding to the preference information of the users in the candidate push information set as user association information.

In this step, the candidate push information corresponding to the preference information may be determined according to an actual application scenario. For example, the candidate push information corresponding to the preference information may be candidate push information whose similarity to the preference information is greater than a preset similarity threshold. For another example, the candidate push information corresponding to the preference information may be the candidate push information in which the object described is the same as the object described by the preference information.

In many cases, the push information with a large relevance to the user is already pushed to the user, or other push information related to the object described by the push information is already pushed to the user, and pushing various push information of the same object to the user too frequently or pushing information with a large relevance to the position of the user may cause a strong disturbance to the user, and the user may not browse the push information any more.

In view of this, the method provided by the above embodiment of the present disclosure may avoid pushing information with too much relevance to the user by filtering some candidate push information with a relatively large relevance to the user from the candidate push information set associated with the destination of the user and selecting the candidate push information from the updated candidate push information set to push to the user, thereby reducing the disturbance brought to the user by information pushing.

With continued reference to fig. 3, a flow 300 of yet another embodiment of a method for pushing information in accordance with the present disclosure is shown. The method for pushing the information comprises the following steps:

step 301, a set of candidate push information corresponding to a destination of a user is obtained.

Step 302, determining user association information in the candidate push information set.

Step 303, deleting the determined user association information from the candidate push set to obtain an updated candidate push information set.

And 304, selecting candidate push information from the updated candidate push information set as push information, and pushing the selected push information to the terminal equipment used by the user before the user reaches the destination.

In this embodiment, the executing agent may push the determined push information to the terminal device (such as

terminal devices

101, 102, 103, etc. shown in fig. 1) used by the user in advance before the user has not reached the destination, so that the user may view the push information associated with the destination in advance before reaching the destination. Specifically, various existing positioning methods may be employed to determine whether the user reaches the destination, so as to push the push information in advance before the user does not reach the destination.

The content that is not specifically described in this embodiment may refer to the related description in the embodiment corresponding to fig. 2, and is not repeated herein.

In some optional implementations of the embodiment, the selected push information may be pushed to the terminal device used by the user on the way of the user going out and before the user reaches the destination. The trip journey of the user may include the process of the user walking, riding a vehicle, navigating and the like to reach the destination.

The existing information pushing method generally determines a current location (e.g., destination) of a user, and then pushes information associated with the location to the user. The following situations may occur in this information push manner:

in one case, the user's attention at the destination is not typically on using the mobile terminal, but rather is focused on the actual environment of the current surroundings (e.g., looking at a landscape, visiting a store, chatting with others, etc.), so the user may not spend time and effort browsing the push information received by the mobile terminal in this case.

In another case, the user may not stay at the destination for a long time, and thus, the user may have left the destination when it takes time to determine and push the push information to the mobile terminal used by the user after the user has arrived at the destination, and thus, in this case, the push information received by the user is often outdated and stale for the user.

In view of the above situations, the method for pushing information provided by the above embodiments of the present disclosure may push information associated with a destination to a user in advance before the user arrives at the destination, so that the user may browse the pushed information while traveling. In this information pushing manner, since the user usually focuses on the mobile terminal to utilize the travel time during the trip (e.g., on a subway, a bus, etc.), the information is pushed to the user during the trip, which is helpful for increasing the viewing rate of the pushed information and avoiding invalid pushing. In addition, the information is pushed in advance before the user reaches the destination, so that the timeliness of the pushed information can be guaranteed, and the situation that the information related to the position where the user leaves is pushed to the user is avoided, the effectiveness of information pushing is improved, and waste of useless flow of the mobile terminal and the server side in the information pushing process is avoided. In addition, if the user browses the push information on the way of traveling, after the user arrives at the destination, the user can pay more attention to the object indicated by the push information browsed on the way of traveling at the destination based on the retina effect, and therefore the user experience can be improved.

With further reference to fig. 4, a flow 400 of yet another embodiment of a method for pushing information is shown. The flow 400 of the method for pushing information comprises the following steps:

in step 401, in response to detecting a user behavior indicating a user trip, a destination of the user trip is determined.

In this embodiment, the executing subject may determine the destination of the user for the trip when detecting the user behavior indicating the trip of the user. The user behavior for indicating the user trip can be the same or different in different application scenarios, and can be flexibly set according to actual application scenarios.

Correspondingly, under different application scenes, the execution main body can flexibly adopt various methods to detect the user trip. For example, when a user goes out, the user can transmit a signal for instructing the current trip to the execution main body through the mobile terminal used by the user. At this time, when the executing body receives the signal, it may be considered that the user trip is detected.

For another example, the execution body may determine whether the user trip is detected by detecting a change in the position of the user. As an example, the execution subject may consider that the user trip is detected when it is detected that the user position continuously changes for more than a preset time period. Alternatively, the executing agent may consider that the user travel is detected when detecting that the user position changes to a station (such as a subway station, a bus station, or the like).

In this embodiment, under different application scenarios, the execution subject may flexibly adopt various methods to determine the travel destination of the user. For example, when a user goes out, the user can send the destination of the trip to the execution main body through the mobile terminal used by the user.

For another example, when a user's trip is detected, the executive body may predict the destination of the user's trip by comparing the pre-recorded historical trip record of the user with the time, location change, etc. of the trip.

It should be noted that the location granularity of the destination can be flexibly set according to the actual application requirement or application scenario. For example, the destination may be a certain street, a certain mall, a certain shop, etc.

Step 402, acquiring a candidate push information set corresponding to a destination of a user.

Step 403, determining the user association information in the candidate push information set.

Step 404, deleting the determined user association information from the candidate push set, and obtaining an updated candidate push information set.

Step 405, selecting candidate push information from the updated candidate push information set as push information and push.

In some optional implementations of the present embodiment, the destination of the user may be determined by:

step one, determining a regular track entropy for representing a travel track of a user according to historical communication data of the user and attribute information of a base station corresponding to the historical communication data.

In this step, the communication data of the user may refer to various data generated by the mobile terminal used by the user communicating with the outside using the base station. The historical communication data of the user may refer to communication data of the user prior to the current time. The time range covered by the historical communication data of the user can be flexibly set by technicians according to actual application scenes and application requirements.

Generally, the base station may locate the mobile terminal of the user according to each communication data of the user, that is, locate the user, so as to obtain the location data for the user. Based on the method, each positioning data of the user in the historical time period can be obtained by utilizing the communication data in the historical time period of the user, and then the travel track of the user in the historical time period can be obtained by arranging the positioning data according to the time sequence.

The attribute information of the base station may include the positioning accuracy and distribution density of the base station. The positioning accuracy of the base station can represent the accuracy of positioning data obtained by positioning the user by the base station. The distribution density of the base stations can represent the distribution condition of the base stations. Generally, the positioning accuracy of a base station is positively correlated with the distribution density of the base station. I.e. the greater the distribution density of base stations, the higher the positioning accuracy is generally. Conversely, the smaller the distribution density of the base stations, the lower the positioning accuracy is generally.

The trajectory entropy can be used to characterize the regularity (or degree of regularity) of the travel trajectory of the user. Generally, the more regular the user's travel track is, the smaller the track entropy is, and the greater the variability of the user's travel track is, the greater the track entropy is.

As an example, if the positioning data of user a indicates that user a travels between home and company on monday to friday and travels between home and a certain market on saturday, the travel of user a is relatively regular, and therefore the track entropy of user a can be set to a smaller value.

If the positioning data of the user B indicates that the user travels very randomly every day and is not obviously regular, the travel of the user B can be considered to be irregular, and therefore the track entropy of the user B can be set to a larger value.

It should be noted that the track entropy of the user is time-varying, and may be continuously updated according to new communication data of the user, so as to more accurately predict the action track and the travel destination of the user.

Specifically, various existing track entropy determination methods may be adopted to obtain the track entropy of the user according to the historical communication data of the user and the positioning accuracy and distribution density of the base station.

Alternatively, the track entropy of the user can be determined according to the historical communication data of the user and the positioning accuracy and the distribution density of the base station by the following steps:

and (1) after a positioning data sequence formed by positioning data arranged by a user according to a time sequence in a historical time period is obtained, adjusting the positioning data sequence according to the positioning precision and the distribution density of the base station to form an adjusted positioning data sequence.

In this step, the number of positioning data of the user obtained in the history time period is different due to the difference in the positioning accuracy and the distribution density of the base station. Generally, the entropy increases due to the increase of the positioning accuracy and the distribution density of the base station, and in order to balance the positioning accuracy and the distribution density of the base station and the track entropy of the user, the determined initial track entropy of the user may be adjusted according to the positioning accuracy and the distribution density of the base station. The adjustment strategy may specifically be set according to the actual application scenario.

For example, for a positioning data sequence formed by positioning data arranged by a user in chronological order in a historical time period, a positioning data group can be extracted from the positioning data sequence according to any width, wherein the width can represent the number of the positioning data included in the positioning data group. Then, to adjacent positioning data group, can confirm whether the position difference between every positioning data in these two positioning data groups is less than preset threshold, if all be less than preset threshold, then can think that the position change that these two positioning data groups correspond does not cause the entropy-increasing to can combine these two sets of positioning data groups into a positioning data.

Therefore, the length of the positioning data sequence can be reduced, the influence of the position precision and the distribution density of the base station on the track entropy of the user is avoided, and the accuracy and the stability of the track entropy of the user determined subsequently are improved.

And (2) determining the track entropy of the user according to the adjusted positioning data sequence.

In this step, the transition probability between any two adjacent positioning data in the adjusted positioning data sequence can be calculated based on a statistical analysis method, and then the initial track entropy is determined according to each obtained transition probability.

The transition probability between two adjacent positioning data can represent the probability that the user appears at the position indicated by the positioning data at the time first and the position indicated by the positioning data at the time later.

The transition probability may be determined by various methods. For example, two adjacent positioning data may be used as a group, several positioning data groups are obtained, and then the number of occurrences of each positioning data group and the total number of positioning data groups are counted. For each positioning data group, the quotient of the number of times the positioning data group occurs and the total number of positioning data comprised by the positioning data group can be determined as the transition probability between two positioning data in the positioning data group.

After the transition probabilities are obtained, the initial trajectory entropy of the user may be determined using various methods. For example, an expectation and variance for each transition probability may be calculated, and then an initial trajectory entropy may be determined based on the expectation and variance, where the expectation is inversely related to the initial trajectory entropy and the variance is positively related to the initial trajectory entropy.

Optionally, the 5G base station may be used to record communication data of the user, and since the wavelength of 5G is short, the distribution density of the base station is large, and the positioning accuracy is high, the track entropy of the user may be more accurately predicted by using the communication data of the user recorded by the 5G base station, so that the travel track and the travel destination of the user may be more accurately predicted.

And step two, predicting the traveling destination of the user according to the track entropy.

In this step, after the track entropy of the user is obtained, the destination of the user on the current trip can be predicted by adopting various existing prediction methods of the user action track based on the track entropy. For example, a pre-trained trajectory prediction model may be used to predict the transition position of the user at each next time according to the trajectory entropy of the user, so as to obtain the destination of the user for the trip.

Alternatively, the track entropy threshold may be preset by a technician according to the actual application scenario. And then, according to the relation between the determined track entropy of the user and the track entropy threshold, predicting the travel destination of the user by adopting different track prediction methods (such as adopting different track prediction models) so as to further predict the travel of the user groups with different rule degrees of action tracks in a more targeted manner, and being beneficial to improving the accuracy of travel prediction for the user.

With continued reference to fig. 5, fig. 5 is an exemplary application scenario 500 of the method for pushing information according to the present embodiment. In the application scenario of fig. 5, when detecting a user traveling, an executing entity (e.g., a server) may first obtain a predetermined trajectory entropy of the user, and then predict a destination 502 of the user traveling this time by using a trajectory prediction model 501.

Thereafter, the server may obtain a candidate push information set 503 related to the destination 502, select candidate push information from the candidate push information set as push information 504, and then push the selected push information 504 to a mobile terminal 505 used by the user, so that the user may browse the push information related to the destination before reaching the destination.

In some optional implementation manners of this embodiment, behavior information of the user on the trip may also be recorded. Wherein the behavior information of the user may include at least one of: indication information for indicating whether the user reaches the destination, and behavior information of the object indicated by the push information after the user reaches the destination.

The behavior information of the user on the object indicated by the push information may include information related to various behaviors of the user. For example, when the object indicated by the push information is a store, the behavior information of the user includes indication information indicating whether the user is at the store, indication information indicating whether the user has performed a transaction at the store, a stay time of the user at the store, and the like. For another example, the behavior information of the object indicated by the push information, which is performed by the user, may include an operation of searching for related content of the object by using the mobile terminal.

The user preference information can be reflected to a certain extent due to the user behavior information. Therefore, after the behavior information of the user is recorded, the steps in the overall flow of the method for pushing information can be further optimized correspondingly according to the behavior information of the user, so as to provide a better information pushing service for the user. For example, the track entropy threshold, track user model, and the like may be adjusted based on the recorded user behavior information.

According to the method provided by the embodiment of the disclosure, when the user is detected to go out, the track entropy of the rule degree for representing the user's travel track is determined according to the historical communication data of the user and the positioning precision and the distribution density of the base station corresponding to the historical communication data, and then the user's travel destination is predicted according to the track entropy, so that the accuracy of the prediction result of the user's behavior track is improved, and the accuracy of the prediction result of the user's travel destination is also improved.

With further reference to fig. 6, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of an apparatus for pushing information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.

As shown in fig. 6, the apparatus 600 for pushing information provided by the present embodiment includes an acquisition unit 601, an information determination unit 602, an update unit 603, and a pushing unit 604. Wherein, the obtaining unit 601 is configured to obtain a candidate push information set corresponding to a destination of a user; the information determining unit 602 is configured to determine user association information in a candidate push information set, where the user association information includes candidate push information whose association degree with a user is greater than a preset threshold; the updating unit 603 is configured to delete the determined user association information from the candidate push set, resulting in an updated candidate push information set; the push unit 604 is configured to select candidate push information from the updated set of candidate push information as push information and push.

In the present embodiment, in the apparatus 600 for pushing information: the specific processing of the obtaining unit 601, the information determining unit 602, the updating unit 603, and the pushing unit 604 and the technical effects thereof can refer to the related descriptions of step 201, step 202, step 203, and step 204 in the corresponding embodiment of fig. 2, which are not described herein again.

In some optional implementations of the present embodiment, the pushing unit 604 is further configured to: and pushing the selected pushing information to the terminal equipment used by the user before the user reaches the destination.

In some optional implementations of the present embodiment, the information determining unit 602 is further configured to: predicting preference information of a user at a destination; and determining candidate push information corresponding to the preference information in the candidate push information set as user association information.

In some optional implementations of the present embodiment, the apparatus 600 for pushing information further includes: the destination determining unit (not shown in the figure) is configured to: in response to detecting a user behavior indicating a user trip, a destination of the user trip is determined.

In some optional implementations of the present embodiment, the pushing unit 604 is further configured to: and pushing the selected pushing information to the terminal equipment used by the user on the way of the user going out and before the user reaches the destination.

In some optional implementations of the present embodiment, the destination determining unit is further configured to: determining a regular track entropy for representing a travel track of a user according to historical communication data of the user and attribute information of a base station corresponding to the historical communication data, wherein the attribute information comprises positioning accuracy and distribution density; and predicting the traveling destination of the user according to the track entropy.

In some optional implementations of the present embodiment, the apparatus 600 for pushing information further includes: the recording unit (not shown in the figure) is configured to: recording behavior information of a user, wherein the behavior information comprises at least one of the following items: indication information for indicating whether the user reaches the destination, and behavior information of the object indicated by the push information after the user reaches the destination.

The apparatus provided by the above embodiment of the present disclosure acquires, by an acquisition unit, a candidate push information set corresponding to a destination of a user; the information determining unit determines user association information in the candidate push information set, wherein the user association information comprises candidate push information of which the association degree with a user is greater than a preset threshold value; the updating unit deletes the determined user association information from the candidate push set to obtain an updated candidate push information set; the pushing unit selects the candidate pushing information from the updated candidate pushing information set as the pushing information and pushes the pushing information, so that the information with high relevance to the user is prevented from being frequently pushed to the user to a certain extent, and the disturbance brought to the user by information pushing is reduced.

Referring now to FIG. 7, a block diagram of an electronic device (e.g., the server of FIG. 1) 700 suitable for use in implementing embodiments of the present disclosure is shown. The server shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

Generally, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 7 may represent one device or may represent multiple devices as desired.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 708, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of embodiments of the present disclosure.

It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a candidate push information set corresponding to a destination of a user; determining user association information in the candidate push information set, wherein the user association information comprises candidate push information of which the association degree with the user is greater than a preset threshold value; deleting the determined user association information from the candidate push set to obtain an updated candidate push information set; and selecting the candidate push information from the updated candidate push information set as push information and pushing.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, an information determination unit, an update unit, and a push unit. The names of these units do not in some cases constitute a limitation on the units themselves, and for example, the acquisition unit may also be described as a "unit that acquires a candidate push information set corresponding to a destination of a user".

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A method for pushing information, comprising:

acquiring a candidate push information set corresponding to a destination of a user;

determining user association information in the candidate push information set, wherein the user association information comprises candidate push information of which the association degree with the user is greater than a preset threshold value;

deleting the determined user association information from the candidate push set to obtain an updated candidate push information set;

and selecting candidate push information from the updated candidate push information set as push information and pushing.

2. The method of claim 1, wherein the selecting candidate push information from the updated set of candidate push information as push information and push comprises:

before the user reaches the destination, pushing the push information to a terminal device used by the user.

3. The method of claim 1, wherein the determining user association information in the candidate set of pushed information comprises:

predicting preference information of the user at the destination;

and determining candidate push information corresponding to the preference information in the candidate push information set as user association information.

4. The method of claim 1, wherein the method further comprises:

in response to detecting a user behavior indicating a user trip, a destination of the user trip is determined.

5. The method of claim 2, wherein the pushing the push information to the terminal device used by the user before the user reaches the destination comprises:

pushing the push information to a terminal device used by the user on the way of the user traveling and before the user reaches the destination.

6. The method according to one of claims 1 to 5, wherein the determining a destination for the user to travel comprises:

determining a regular track entropy for representing the travel track of the user according to the historical communication data of the user and the attribute information of the base station corresponding to the historical communication data, wherein the attribute information comprises positioning accuracy and distribution density;

and predicting the traveling destination of the user according to the track entropy.

7. The method according to one of claims 1-5, wherein the method further comprises:

recording behavior information of the user, wherein the behavior information comprises at least one of the following items: indication information for indicating whether the user reaches the destination, and behavior information of an object indicated by the push information after the user reaches the destination.

8. An apparatus for pushing information, comprising:

an acquisition unit configured to acquire a candidate push information set corresponding to a destination of a user;

an information determining unit configured to determine user association information in the candidate push information set, wherein the user association information includes candidate push information with an association degree with the user greater than a preset threshold;

an updating unit configured to delete the determined user association information from the candidate push set, resulting in an updated candidate push information set;

a push unit configured to select candidate push information from the updated set of candidate push information as push information and push.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.