CN102118711B - Information push method and information push device - Google Patents
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- CN102118711B CN102118711B CN201110086359.1A CN201110086359A CN102118711B CN 102118711 B CN102118711 B CN 102118711B CN 201110086359 A CN201110086359 A CN 201110086359A CN 102118711 B CN102118711 B CN 102118711B
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Abstract
The invention provides an information push method. The information push method comprises the following steps: step 102, a base station where a mobile terminal is often accessed is determined according to the information of all the base stations in which the mobile terminals of a user are accessed, as well as the frequency of connection between the mobile terminal and each base station in all the base stations; step 104, the type of the user is determined according to the determined base station; and step 106, the information push is performed to the mobile terminal according to the type of the user. The invention also provides an information push device and a server. The type of the user is determined according to the base station accessed by the user and the frequency of accessing of the base station, and the pointed information push is carried out according to the user type.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to an information push method and an information push apparatus.
Background
The market of the mobile internet is a development field with great potential, and the industry starts to pay attention to the development and application of a mobile advertisement platform and the like and develops fierce pursuits. For example, the current mobile advertisement of mobile phone is mainly realized by the methods of collecting user data, member pushing, etc.
However, for mobile phone users, many advertisement messages are received, many of which are messages that are not concerned by the users and some service messages popularized in a large area. Therefore, most users will not spend time seeing the advertisement information, and may even dispose of some useful advertisement information as spam. Therefore, the users are troubled by a large amount of junk information, and the advertisement promotion of the information providers wastes a large amount of cost and has low promotion efficiency.
Therefore, a new method for pushing information is needed, which can automatically identify the category of the mobile terminal user and send the information of the category to the mobile terminal of the user, thereby ensuring that the cost of information pushing is reduced, improving the efficiency of information pushing, and simultaneously preventing the user from being troubled by junk information.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a new method for pushing information, which can automatically identify the category of a mobile terminal user and send the information of the category to a user mobile terminal, thereby ensuring that the cost of information pushing is reduced, the efficiency of information pushing is improved, and the user is not troubled by junk information.
In view of the above, the present invention provides an information pushing method, including: 102, determining base stations frequently accessed by the mobile terminal according to the information of all base stations accessed by the mobile terminal of the user and the connection times of the mobile terminal and each base station in all the base stations; step 104, determining the type of the user according to the determined base station; and 106, pushing information to the mobile terminal according to the type of the user. Through the technical scheme, the user type can be determined through the base station accessed by the user and the access times of the base station, and information is pushed in a targeted manner according to the user type.
In the above technical solution, preferably, step 104 specifically includes: and establishing a state space, taking the determined base station as a node of the state space, taking the connection times of the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzing the state space according to the Bayesian network principle, and determining the type of the user.
In the foregoing technical solution, preferably, in step 102, all base stations accessed by the mobile terminal and the connection times of the mobile terminal and each base station in all base stations are obtained by querying records of the mobile terminal accessing the base stations.
In the above technical solution, preferably, in step 102, the record of the access of the mobile terminal to the base station is queried at a predetermined time according to a predetermined time range.
In the above technical solution, preferably, step 104 includes: determining a concentrated activity area of a user according to the determined base stations and the connection times of the mobile terminal and each base station in the determined base stations; and judging the type of the user according to the concentrated activity area of the user.
The present invention also provides an information pushing apparatus, including: the base station selection module is used for determining base stations frequently accessed by the mobile terminal according to the information of all base stations accessed by the mobile terminal of the user and the connection times of the mobile terminal and each base station in all the base stations; the user analysis module determines the type of the user according to the determined base station; and the information pushing module is used for pushing information to the mobile terminal according to the type of the user. Through the technical scheme, the user type can be determined through the base station accessed by the user and the access times of the base station, and information is pushed in a targeted manner according to the user type.
In the above technical solution, preferably, the user analysis module establishes a state space, takes the determined base station as a node of the state space, takes the number of connections between the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzes the state space according to the bayesian network principle, and determines the type of the user.
In the above technical solution, preferably, the base station selection module queries records of the mobile terminal accessing the base station to obtain all base stations accessed by the mobile terminal and the connection times between the mobile terminal and each base station in all base stations.
In the above technical solution, preferably, the base station selection module queries the record of the mobile terminal accessing the base station according to a predetermined time range at a predetermined time.
In the above technical solution, preferably, the user analysis module includes: the area determining module is used for determining a concentrated activity area of the user according to the determined base stations and the connection times of the mobile terminal and each base station in the determined base stations; and the type judging module is used for judging the type of the user according to the concentrated activity area of the user.
The present invention also provides a server comprising: such as the information pushing device.
Through the technical scheme, the information pushing method, the information pushing device and the server can be realized, the types of the users can be automatically analyzed through the base station accessed by the mobile terminal and the times of accessing the base station, the information pushing is carried out according to the types of the users, the pushing efficiency is improved, the pushing cost is reduced, and the users are not puzzled by junk information.
Drawings
FIG. 1 is a flow diagram of an information push method according to one embodiment of the invention;
FIG. 2 is a block diagram of an information pushing device according to one embodiment of the invention;
FIG. 3 is a block diagram of a server according to one embodiment of the invention;
fig. 4 is a flow diagram of the use of a server according to one embodiment of the invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 is a flowchart of an information pushing method according to an embodiment of the present invention.
As shown in fig. 1, the present invention provides an information pushing method, including: 102, determining base stations frequently accessed by the mobile terminal according to the information of all base stations accessed by the mobile terminal of the user and the connection times of the mobile terminal and each base station in all the base stations; step 104, determining the type of the user according to the determined base station; and 106, pushing information to the mobile terminal according to the type of the user. Through the technical scheme, the user type can be determined through the base station accessed by the user and the access times of the base station, and information is pushed in a targeted manner according to the user type.
In the above technical solution, step 104 specifically includes: and establishing a state space, taking the determined base station as a node of the state space, taking the connection times of the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzing the state space according to the Bayesian network principle, and determining the type of the user.
In the above technical solution, in step 102, all base stations accessed by the mobile terminal and the connection times between the mobile terminal and each of all base stations are obtained by querying records of the mobile terminal accessing the base stations.
In the above technical solution, in step 102, at a predetermined time, the record of the access of the mobile terminal to the base station is queried according to a predetermined time range.
In the above technical solution, step 104 includes: determining a concentrated activity area of a user according to the determined base stations and the connection times of the mobile terminal and each base station in the determined base stations; and judging the type of the user according to the concentrated activity area of the user.
Fig. 2 is a block diagram of an information pushing apparatus according to an embodiment of the present invention.
As shown in fig. 2, the present invention further provides an information pushing apparatus 200, including: a base station selection module 202, which determines the base stations frequently accessed by the mobile terminal according to the information of all base stations accessed by the mobile terminal of the user and the connection times of the mobile terminal and each base station in all base stations; the user analysis module 204 determines the type of the user according to the determined base station; and the information pushing module 206 is used for pushing information to the mobile terminal according to the type of the user. Through the technical scheme, the user type can be determined through the base station accessed by the user and the access times of the base station, and information is pushed in a targeted manner according to the user type.
In the above technical solution, the user analysis module 204 establishes a state space, takes the determined base station as a node of the state space, takes the number of connections between the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzes the state space according to the bayesian network principle, and determines the type of the user.
In the above technical solution, the base station selection module 202 queries the record of the mobile terminal accessing the base station to obtain all base stations accessed by the mobile terminal and the connection times between the mobile terminal and each base station in all base stations.
In the above technical solution, the base station selection module 202 queries the record of the access of the mobile terminal to the base station according to the predetermined time range at the predetermined time.
In the above technical solution, the user analysis module 204 includes: the area determining module is used for determining a concentrated activity area of the user according to the determined base stations and the connection times of the mobile terminal and each base station in the determined base stations; and the type judging module is used for judging the type of the user according to the concentrated activity area of the user.
Fig. 3 is a block diagram of a server according to one embodiment of the invention.
As shown in fig. 3, the present invention also provides a server 300, including: such as the information pushing device 200.
Fig. 4 is a flow diagram of the use of a server according to one embodiment of the invention.
The technical scheme of the embodiment aims to: the base stations accessed by the mobile terminal are regular according to the activity ranges of different crowds and are concentrated in the base stations in a plurality of areas within a certain range. And analyzing the user group according to the record of the base station accessed by the mobile terminal, and performing relevant mobile advertisement promotion in a targeted manner through optimization.
The server in this embodiment pushes the mobile advertisement based on the bayesian network. The following is a description of the bayesian network: the Bayesian network is an effective uncertainty knowledge expression and inference tool, and probabilistic inference is one of the important research contents thereof. The technical scheme of the embodiment combines the characteristics of the mobile advertisement promotion method, and calculates the probability of each mobile terminal accessing the base station in the statistical network by adopting a search-based algorithm. Comparing a base station accessed by a mobile terminal of a user with a node variable needing to be calculated in a network, wherein the access frequency of the mobile terminal to the base station is the value of the node variable, and then the value of the node variable is regarded as a state space, wherein some states have great influence on a calculation result, and other states have little influence. The algorithm searches the states with larger influence in the whole state space by applying heuristic search and replaces the whole state space with the states for calculation.
As shown in fig. 4, step 402, obtaining a base station record accessed by a mobile terminal;
step 404, constructing a state space set: the server adopts the base stations counted from the base station records to form a network space;
step 406, performing probabilistic reasoning based on the bayesian network principle: the larger the value of the node variable is, the larger the influence factor on the calculation result of the access base station probability is, and the server searches the nodes with larger variable values in the network space and forms a state space set, wherein the set has the largest influence on the calculation result;
step 408, end user type analysis: the server analyzes the type of the user according to the calculation result of the probability of accessing the base station obtained in the step 406, for example, if the probability that the mobile terminal accesses the base station network space around the science and technology park is the highest, it is determined that the user belongs to a high and new industry worker, if the probability that the mobile terminal accesses the base station network space around the suburban farm is the highest, it is determined that the user belongs to an agricultural worker, and if the range of the access base station is relatively dispersed, it is determined that the user belongs to a person who often goes on business;
step 410, pushing relevant mobile advertisements: the server pushes advertisements according to the types of the users, for example, if the users belong to high and new industry personnel, advertisement information containing electronics, securities, travel consultation and the like can be pushed to the users preliminarily, if the users belong to agricultural workers, mobile advertisement information containing agricultural product information, fertilizers, logistics and the like can be pushed to the users preliminarily, and for people who frequently go on a business, relevant information of hotels and air tickets can be pushed.
Through the technical scheme, the information pushing method, the information pushing device and the server can be realized, the types of the users can be automatically analyzed through the base station accessed by the mobile terminal and the times of accessing the base station, the information pushing is carried out according to the types of the users, and compared with the methods of collecting user data, pushing members and the like in common services, the method is more intelligent, on one hand, the advertisement pushing efficiency can be improved, and on the other hand, the probability of receiving the unnecessary advertisement information by the users can be reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An information pushing method, comprising:
102, determining base stations frequently accessed by a mobile terminal according to information of all base stations accessed by the mobile terminal of a user and the connection times of the mobile terminal and each base station in all the base stations;
step 104, determining the type of the user according to the determined base station;
106, pushing information to the mobile terminal according to the type of the user; wherein,
the step 104 specifically includes: establishing a state space, taking the determined base station as a node of the state space, taking the connection times of the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzing the state space according to a Bayesian network principle, and determining the type of the user;
wherein analyzing the state space according to Bayesian network principles comprises: performing probabilistic reasoning based on the Bayesian network principle: the larger the value of the variable of the node is, the larger the influence factor on the calculation result of the access base station probability is, the larger the node of the variable value in the state space is searched, and a state space set is formed, and the influence of the set on the calculation result is the largest.
2. The information pushing method according to claim 1, wherein in the step 102, all base stations accessed by the mobile terminal and the number of connections of the mobile terminal to each of the all base stations are obtained by querying a record of the access of the mobile terminal to the base stations.
3. The information pushing method according to claim 2, wherein in step 102, the record of the access of the mobile terminal to the base station is queried at a predetermined time according to a predetermined time range.
4. The information pushing method according to any one of claims 1 to 3, wherein the step 104 comprises:
determining a concentrated activity area of the user according to the determined base station and the connection times of the mobile terminal and each base station in the determined base station;
and judging the type of the user according to the concentrated activity area of the user.
5. An information pushing apparatus, comprising:
the base station selection module is used for determining base stations frequently accessed by the mobile terminal according to the information of all base stations accessed by the mobile terminal of a user and the connection times of the mobile terminal and each base station in all the base stations;
the user analysis module is used for determining the type of the user according to the determined base station;
the information pushing module is used for pushing information to the mobile terminal according to the type of the user; wherein,
the user analysis module establishes a state space, takes the determined base station as a node of the state space, takes the connection times of the mobile terminal and each base station in the determined base station as a variable of each node in the state space, analyzes the state space according to a Bayesian network principle, and determines the type of the user, wherein analyzing the state space according to the Bayesian network principle comprises: performing probabilistic reasoning based on the Bayesian network principle: the larger the value of the variable of the node is, the larger the influence factor on the calculation result of the access base station probability is, the larger the node of the variable value in the state space is searched, and a state space set is formed, and the influence of the set on the calculation result is the largest.
6. The information pushing apparatus according to claim 5, wherein the base station selection module queries records of the mobile terminal accessing base stations to obtain all base stations accessed by the mobile terminal and the number of times of connections between the mobile terminal and each of the all base stations.
7. The information pushing device according to claim 6, wherein the base station selection module queries the record of the access of the mobile terminal to the base station at a predetermined time according to a predetermined time range.
8. The information pushing apparatus according to any one of claims 5 to 7, wherein the user analysis module includes:
the area determining module is used for determining the concentrated activity area of the user according to the determined base station and the connection times of the mobile terminal and each base station in the determined base station;
and the type judgment module is used for judging the type of the user according to the concentrated activity area of the user.
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| CN201110086359.1A CN102118711B (en) | 2011-04-07 | 2011-04-07 | Information push method and information push device |
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| CN201110086359.1A CN102118711B (en) | 2011-04-07 | 2011-04-07 | Information push method and information push device |
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Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103179502A (en) * | 2011-12-21 | 2013-06-26 | 中兴通讯股份有限公司 | Information issue method and device |
| CN103945326B (en) * | 2013-01-23 | 2019-04-26 | 百度在线网络技术（北京）有限公司 | A kind of method and device of accurate information push |
| CN104918236B (en) * | 2014-03-10 | 2019-11-22 | 深圳富泰宏精密工业有限公司 | Environment decision-making system and method based on Wi-Fi |
| CN105636084A (en) * | 2014-10-27 | 2016-06-01 | 北京市天元网络技术股份有限公司 | Resident user acquisition method and device |
| CN105095346B (en) * | 2015-06-05 | 2018-07-17 | 中国联合网络通信集团有限公司 | A kind of service push method and device |
| CN105447129B (en) * | 2015-11-18 | 2020-09-25 | 腾讯科技（深圳）有限公司 | Personalized content acquisition method, user attribute mining method, system and device |
| CN105916116A (en) * | 2016-06-30 | 2016-08-31 | 北京奇虎科技有限公司 | Monitoring method and device based on movement locus information |
| CN115866033B (en) * | 2022-11-22 | 2024-08-06 | 中国联合网络通信集团有限公司 | Network point pushing method, device, server and storage medium based on edge calculation |
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