阅读说明：本技术 互联网用户所属企业的识别方法、装置和终端 (Method, device and terminal for identifying enterprise to which Internet user belongs ) 是由 彭继东 杨敬 刘鹏 万程 于 2018-07-03 设计创作，主要内容包括：本发明提出一种互联网用户所属企业的识别方法、装置和终端,所述方法包括：获取用于接入无线访问接入点的服务集标识符,根据服务集标识符和无线访问接入点的物理地址筛选出企业类无线网络；构建企业信息库,并在企业信息库中提取企业的实体特征；计算企业类无线网络和企业的实体特征之间的相似度,以建立企业类无线网络和企业之间的第一映射关系；获取目标用户使用无线访问接入点的数据信息,以建立无线访问接入点与所述目标用户的第二映射关系；根据第一映射关系和第二映射关系生成所述目标用户所属企业的识别结果。(The invention provides an identification method, a device and a terminal of an enterprise to which an internet user belongs, wherein the method comprises the following steps: acquiring a service set identifier for accessing a wireless access point, and screening out an enterprise wireless network according to the service set identifier and a physical address of the wireless access point; constructing an enterprise information base, and extracting entity characteristics of enterprises from the enterprise information base; calculating the similarity between the entity characteristics of the enterprise wireless network and the enterprise to establish a first mapping relation between the enterprise wireless network and the enterprise; acquiring data information of a target user using a wireless access point to establish a second mapping relation between the wireless access point and the target user; and generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation.)

1. A method for identifying an enterprise to which an Internet user belongs is characterized by comprising the following steps:

acquiring a service set identifier for accessing a wireless access point, and screening out an enterprise wireless network according to the service set identifier and a physical address of the wireless access point;

constructing an enterprise information base, and extracting entity characteristics of enterprises from the enterprise information base;

calculating the similarity between the entity characteristics of the enterprise wireless network and the enterprise so as to establish a first mapping relation between the enterprise wireless network and the enterprise;

acquiring data information of a target user using the wireless access point to establish a second mapping relation between the wireless access point and the target user;

and generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation.

2. The method of claim 1, wherein screening out an enterprise-type wireless network based on the service set identifier and a physical address of the wireless access point comprises:

clustering the wireless access points according to the service set identifier and the physical address to generate a wireless access point cluster;

and classifying the wireless access point clusters according to the wireless network use characteristics so as to screen out the wireless access point clusters of the enterprise type as the wireless network of the enterprise type.

3. The method of claim 2, wherein the wireless network usage characteristics comprise at least one of traffic time distribution of the cluster of wireless access points, point of interest topic characteristics around the cluster of wireless access points, and user stickiness of the cluster of wireless access points.

4. The method of claim 1, wherein calculating the similarity between the enterprise-like wireless network and the entity characteristics of the enterprise to establish the first mapping relationship between the enterprise-like wireless network and the enterprise comprises:

calculating semantic similarity between the enterprise-like wireless network and entity features of the enterprise according to the service set identifier and the name of the enterprise in the entity features of the enterprise;

calculating the relative distance between the enterprise wireless network and the entity characteristics of the enterprise according to the physical address of the wireless access point and the geographic position of the enterprise;

and establishing the first mapping relation according to the semantic similarity and the relative distance.

5. The method of claim 1, wherein establishing a second mapping relationship between the wireless access point and the target user comprises:

calculating the probability value of the wireless access point belonging to the access point under the working environment of each target user according to the data information;

and establishing a second mapping relation between the access point and the target user in the working environment according to the probability value.

6. An apparatus for identifying an enterprise to which an internet user belongs, comprising:

the enterprise wireless network screening module is used for acquiring a service set identifier for accessing a wireless access point and screening an enterprise wireless network according to the service set identifier and a physical address of the wireless access point;

the enterprise entity feature extraction module is used for constructing an enterprise information base and extracting entity features of enterprises from the enterprise information base;

the wireless network and enterprise mapping relation establishing module is used for calculating the similarity between the entity characteristics of the enterprise wireless network and the enterprise and establishing a first mapping relation between the enterprise wireless network and the enterprise;

the wireless network and user mapping relation establishing module is used for acquiring data information of a target user using the wireless access point and establishing a second mapping relation between the wireless access point and the target user according to the data information;

and the enterprise identification module is used for generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation.

7. The apparatus of claim 6, wherein the enterprise-like wireless network screening module comprises:

an access point clustering unit, configured to cluster the wireless access points according to the service set identifier and the physical address, and generate a wireless access point cluster;

and the wireless network classifying and screening unit is used for classifying the wireless access point clusters according to the wireless network use characteristics so as to screen out the wireless access point clusters of the enterprise type as the wireless network of the enterprise type.

8. The apparatus of claim 6, wherein the wireless network and enterprise mapping relationship establishing module comprises:

a semantic similarity calculation unit, configured to calculate a semantic similarity between the enterprise-class wireless network and an entity feature of the enterprise according to the service set identifier and a name of the enterprise in the entity feature of the enterprise;

the distance calculation unit is used for calculating the relative distance between the enterprise wireless network and the entity characteristics of the enterprise according to the physical address of the wireless access point and the geographic position of the enterprise;

and the first mapping establishing unit is used for establishing the first mapping relation according to the semantic similarity and the relative distance between the enterprise wireless network and the enterprise.

9. The apparatus of claim 6, wherein the wireless network and user mapping relationship establishing module comprises:

the probability calculation unit is used for calculating the probability value of the wireless access point belonging to the access point under the working environment of each target user according to the data information;

and the second mapping establishing unit is used for establishing a second mapping relation between the access point and the target user in the working environment according to the probability value.

10. An identification terminal for an enterprise to which an internet user belongs, comprising:

one or more processors;

a memory for storing one or more programs;

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-5.

11. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.

Technical Field

The invention relates to the technical field of computers, in particular to a method, a device and a terminal for identifying an enterprise to which an internet user belongs.

Background

With the development of internet big data, how to mine the company of the user is always the technical bottleneck of user image, and the accuracy rate of judging the company to which the user belongs is low. However, it is increasingly important to mine the companies to which the user belongs, for example, in terms of financial governance, the companies of the user, representing their income level, job stability, have a great value in assessing the credit level of the user and reasonably granting credit. In the internet information flow product, if the company of the user is known, the user attribute and the interest can be estimated, and the income for improving the information recommendation algorithm is huge.

At present, there are two mining methods for a company to which a user belongs, and a scheme is as follows: the sample collection, feature selection and model training of the company to which the user belongs are limited by the problems of sample scarcity, feature discrimination, various types and the like, and the accuracy and recall of the samples are not satisfactory. Scheme II: the method has the advantages that users can actively fill companies by means of computer application programs (APP), applets and the like, the defects that the number of covered users is small, the quality is not guaranteed, the value is limited, and the users can be worried about that privacy is violated.

Disclosure of Invention

The embodiment of the invention provides an identification method, an identification device and a terminal of an enterprise to which an internet user belongs, and at least solves the technical problems in the prior art.

In a first aspect, an embodiment of the present invention provides a method for identifying an enterprise to which an internet user belongs, including:

acquiring a service set identifier for accessing a wireless access point, and screening out an enterprise wireless network according to the service set identifier and a physical address of the wireless access point;

constructing an enterprise information base, and extracting entity characteristics of enterprises from the enterprise information base;

calculating the similarity between the entity characteristics of the enterprise wireless network and the enterprise so as to establish a first mapping relation between the enterprise wireless network and the enterprise;

acquiring data information of a target user using the wireless access point to establish a second mapping relation between the wireless access point and the target user;

and generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation.

With reference to the first aspect, in a first implementation manner of the first aspect, the screening out an enterprise-type wireless network according to the service set identifier and a physical address of the wireless access point includes:

clustering the wireless access points according to the service set identifier and the physical address to generate a wireless access point cluster;

and classifying the wireless access point clusters according to the wireless network use characteristics so as to screen out the wireless access point clusters of the enterprise type as the wireless network of the enterprise type.

With reference to the first implementation manner of the first aspect, the present invention provides, in a second implementation manner of the first aspect, the wireless network usage characteristics include at least one of traffic time distribution of the wireless access point cluster, interest point topic characteristics around the wireless access point cluster, and user viscosity of the wireless access point cluster.

With reference to the first aspect, in a third implementation manner of the first aspect, the calculating a similarity between the entity characteristics of the enterprise-class wireless network and the enterprise to establish a first mapping relationship between the enterprise-class wireless network and the enterprise includes:

calculating semantic similarity between the enterprise-like wireless network and entity features of the enterprise according to the service set identifier and the name of the enterprise in the entity features of the enterprise;

calculating the relative distance between the enterprise wireless network and the entity characteristics of the enterprise according to the physical address of the wireless access point and the geographic position of the enterprise;

and establishing the first mapping relation according to the semantic similarity and the relative distance.

With reference to the first aspect, in a fourth implementation manner of the first aspect, the establishing a second mapping relationship between the radio access point and the target user includes:

calculating the probability value of the wireless access point belonging to the access point under the working environment of each target user according to the data information;

and establishing a second mapping relation between the access point and the target user in the working environment according to the probability value.

In a second aspect, an embodiment of the present invention provides an apparatus for identifying an enterprise to which an internet user belongs, including:

the enterprise wireless network screening module is used for acquiring a service set identifier for accessing a wireless access point and screening an enterprise wireless network according to the service set identifier and a physical address of the wireless access point;

the enterprise entity feature extraction module is used for constructing an enterprise information base and extracting entity features of enterprises from the enterprise information base;

the wireless network and enterprise mapping relation establishing module is used for calculating the similarity between the entity characteristics of the enterprise wireless network and the enterprise and establishing a first mapping relation between the enterprise wireless network and the enterprise;

the wireless network and user mapping relation establishing module is used for acquiring data information of a target user using the wireless access point and establishing a second mapping relation between the wireless access point and the target user according to the data information;

and the enterprise identification module is used for generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation.

With reference to the second aspect, in a first implementation manner of the second aspect, the enterprise-type wireless network screening module includes:

an access point clustering unit, configured to cluster the wireless access points according to the service set identifier and the physical address, and generate a wireless access point cluster;

and the wireless network classifying and screening unit is used for classifying the wireless access point clusters according to the wireless network use characteristics so as to screen out the wireless access point clusters of the enterprise type as the wireless network of the enterprise type.

With reference to the second aspect, in a second implementation manner of the second aspect, the wireless network and enterprise mapping relationship establishing module includes:

a semantic similarity calculation unit, configured to calculate a semantic similarity between the enterprise-class wireless network and an entity feature of the enterprise according to the service set identifier and a name of the enterprise in the entity feature of the enterprise;

the distance calculation unit is used for calculating the relative distance between the enterprise wireless network and the entity characteristics of the enterprise according to the physical address of the wireless access point and the geographic position of the enterprise;

and the first mapping establishing unit is used for establishing the first mapping relation according to the semantic similarity and the relative distance between the enterprise wireless network and the enterprise.

With reference to the second aspect, in a third implementation manner of the second aspect, the wireless network and user mapping relationship establishing module includes:

the probability calculation unit is used for calculating the probability value of the wireless access point belonging to the access point under the working environment of each target user according to the data information;

and the second mapping establishing unit is used for establishing a second mapping relation between the access point and the target user in the working environment according to the probability value.

The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above-described functions.

In a third aspect, the structure of the enterprise to which the internet user belongs provided by the present invention includes a processor and a memory, where the memory is used for storing a program for supporting the identifying apparatus of the enterprise to which the internet user belongs to execute the identifying method of the enterprise to which the internet user belongs in the first aspect, and the processor is configured to execute the program stored in the memory. The identification means of the enterprise to which the internet user belongs may further comprise a communication interface for the identification means of the enterprise to which the internet user belongs to communicate with other devices or communication networks.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium for storing computer software instructions for an identification apparatus of an enterprise to which an internet user belongs, which includes a program for executing the above-mentioned identification method of the enterprise to which the internet user belongs as the identification apparatus of the enterprise to which the internet user belongs in the first aspect.

One of the above technical solutions has the following advantages or beneficial effects: the method comprises the steps of screening out an enterprise wireless network by obtaining a service set identifier for accessing a wireless access point, extracting entity characteristics of an enterprise, establishing a first mapping relation between the enterprise wireless network and the enterprise, establishing a second mapping relation between the wireless access point and a target user by obtaining data information of the target user using the wireless access point, and generating an identification result of the enterprise to which the target user belongs according to the first mapping relation and the second mapping relation. The efficiency of mining the company to which the user belongs is improved, and the accuracy of mining the company to which the user belongs is also improved. In the aspect of financial wind control, accurate mining of companies to which the users belong has great value in evaluating credit levels and reasonably granting credit to the users, and in the aspect of internet information flow products, accurate mining of companies to which the users belong has great help in promoting information recommendation algorithms.

The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will be readily apparent by reference to the drawings and following detailed description.

Drawings

In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.

Fig. 1 is a flowchart of an identification method for an enterprise to which an internet user belongs according to an embodiment of the present invention;

fig. 2 is a schematic diagram of an identification process of an enterprise to which an internet user belongs according to an embodiment of the present invention;

fig. 3 is a block diagram of an identification apparatus of an enterprise to which an internet user belongs according to an embodiment of the present invention;

fig. 4 is a diagram of a computer-readable storage medium according to an embodiment of the present invention.

Detailed Description

In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.