WO2020248377A1 - Information pushing method and apparatus, computer readable storage medium, and computer device - Google Patents

Abstract

An information pushing method and apparatus, a computer readable storage medium, and a computer device, which are applied to the technical field of data analysis and improve the computational efficiency of company name matching. The method comprises: obtaining a company full name of a candidate user (S110); performing word segmentation on the company full name of the candidate user to obtain a word segmentation set of the candidate user (S120); converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain a digital identifier set of the candidate user (S130); matching the digital identifier set of the candidate user with a digital identifier set of a target user, the digital identifier set of the target user being obtained by processing the company full name of the target user in the same approach (S140); and if matching is successful, pushing the information of the candidate user to the target user (S150).

Description

Information pushing method, device, computer readable storage medium and computer equipment

This application claims the priority of the Chinese patent application filed with the Chinese Patent Office on June 14, 2019, the application number is 201910517834.2, and the invention title is "information push method, device, computer readable storage medium and computer equipment", and its entire content Incorporated in this application by reference.

Technical field

This application relates to the field of data analysis technology. Specifically, this application relates to an information push method, device, computer-readable storage medium, and computer equipment.

Background technique

Information push is a very hot technical direction of the Internet today. The so-called information push is "web (World Wide Web) broadcasting", which is a new technology that reduces information overload by regularly transmitting information that users need on the Internet through certain technical standards or protocols. Push technology reduces the time spent searching on the Internet by automatically transmitting information to users. It searches and filters information according to users' interests, and pushes it to users regularly, helping users to efficiently discover valuable information.

Based on the demand for the accuracy of information push, the intimacy between users has become more and more important, especially the intimacy of colleagues between users. The server usually needs to push information based on the intimacy between colleagues, for example, push the information of one user's attention to other users who have a colleague relationship with the user and have a higher intimacy.

The inventor realizes that currently, when judging the intimacy between colleagues, the method used is to match the full company name of the target user with the full company name of the candidate user. If the full company name is the same, the intimacy is determined to be higher and the candidate user Push the information of the target user to the target user, otherwise it is determined that the intimacy is low, and the information push of the candidate user is not performed, but this method has the disadvantage of low computational efficiency.

Summary of the invention

In view of the shortcomings of the existing methods, this application proposes an information push method, device, computer readable storage medium and computer equipment to improve the calculation efficiency of company name matching.

According to the first aspect, the embodiments of this application provide an information pushing method, including:

Get the full name of the company of the candidate user;

Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

If the matches are consistent, push the candidate user information to the target user.

According to the second aspect, the embodiments of the present application also provide an information pushing device, including:

The full company name acquisition module is used to obtain the full company name of the candidate user;

The word segmentation module is used to segment the full company name of the candidate user to obtain the word segmentation set of the candidate user;

A digital identity conversion module, configured to convert each word segment in the word segmentation set of the candidate user into a corresponding digital identity to obtain the digital identity set of the candidate user;

The matching module is configured to match the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

The information push module is configured to push the candidate user's information to the target user when the matches are consistent.

According to the third aspect, the embodiments of the present application also provide a non-volatile computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, an information push method is implemented;

Wherein, the information pushing method includes the following steps:

Get the full name of the company of the candidate user;

Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

If the matches are consistent, push the candidate user information to the target user.

According to the fourth aspect, the embodiments of the present application also provide a computer device, the computer device including:

One or more processors;

Storage device 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 execute an information push method;

Wherein, the information pushing method includes the following steps:

Get the full name of the company of the candidate user;

Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

If the matches are consistent, push the candidate user information to the target user.

The above-mentioned information push method, device, computer readable storage medium and computer equipment convert the full name of the company into a set of digital identifications, and replace the matching of the full name of the company with the matching of the digital identification of the word segmentation. Because the matching efficiency of the digital identification is higher than that of Chinese characters Matching efficiency, so the calculation efficiency of company name matching is greatly improved in this way.

Description of the drawings

FIG. 1 is a schematic diagram of an information pushing method according to an embodiment of the application;

Figure 2 is a schematic diagram of an information pushing device according to an embodiment of the application;

Fig. 3 is a schematic diagram of a computer device according to an embodiment of the application.

Detailed ways

As shown in FIG. 1, it is a schematic diagram of an information pushing method according to an embodiment, and the method includes:

S110. Obtain the full name of the company of the candidate user.

In this application, the target user is the object to be pushed information, and the candidate user is the possible object to push information to the target user. When it is necessary to determine whether the candidate user's information can be pushed to the target user, first obtain the candidate user's company name. The data source of the company's full name can be the information that the candidate user fills in the job search website, or the information that the candidate user directly enters in the interface, and so on.

S120. Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user.

Word Segmentation refers to the segmentation of a sequence of Chinese characters into individual words. The full name of the company is segmented to obtain a number of individual words of the full name of the company. The individual words constitute a word segmentation set.

S130: Convert each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier, and obtain the digital identifier set of the candidate user.

Considering that the matching efficiency of digital identifiers is generally higher than that of Chinese characters, after obtaining the word segmentation set of candidate users, each character in the word segmentation set is converted into digital identifiers in a certain way to obtain the digital identification set of candidate users.

S140. Match the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner.

The full name of the target user’s company is processed in the same way to obtain the target user’s digital identification set, that is, the target user’s company full name is segmented according to the same word segmentation rules to obtain the target user’s word segmentation set, and the target user is classified according to the same conversion rule Each word segmentation in the word segmentation set of is converted into a corresponding digital identifier, and a digital identifier set of candidate users is obtained. In order to determine whether the target user and the candidate user belong to the same company, the digital identification set of the candidate user is matched with the digital identification set of the target user.

S150: If the matches are consistent, push the candidate user information to the target user.

If the match is consistent, it means that the candidate user and the target user belong to the same company, and the candidate user's information, such as the candidate user's identity information, or the product information that the candidate user pays attention to, etc., is pushed to the target user. Otherwise, the candidate user's information is not pushed to the target user.

In this embodiment, the full name of the company is converted into a set of digital IDs, and the matching of the full name of the company is replaced by the matching of the digital ID of the word segmentation. Since the matching efficiency of the digital ID is higher than the matching efficiency of the Chinese characters, the calculation efficiency is greatly improved by this method.

The applicant of this application has discovered through research that the full name of the company generally consists of region, trade name, industry, and concluding remarks. Therefore, in one embodiment, the full name of the candidate user’s company is segmented to obtain the word segmentation of the candidate user Collection, including:

S1201, according to a pre-set word database that characterizes a region, select a region word segmentation from the full company name of the candidate user.

Geography refers to geographic location information. Taking into account the limited number of regions, for regions, a regional vocabulary can be established in advance, such as countries, provinces, cities, etc. From the candidate user’s company full name, the character matching a word in the region’s thesaurus is filtered out, and this character is the region word segmentation.

S1202, according to the preset word database that characterizes the industry, select industry word segmentation from the full company name of the candidate user.

Industry refers to the organizational structure system of business units or individuals engaged in production of the same nature in the national economy or other economic and social operations. Taking into account the limited number of industries, for industries, a vocabulary of industries can be established in advance, such as food, communications, finance, and so on. From the full company name of the candidate user, a character that matches a word in the industry's thesaurus is screened out, and the character is the industry participle.

S1203. According to the preset vocabulary that characterizes the closing words, the closing words are selected from the full company names of the candidate users; the closing words are used to describe the organizational form of the company.

Concluding remarks are used to describe the organizational form of the company, usually the last few characters in the company's full name. Considering the limited number of concluding remarks, for concluding remarks, a vocabulary of concluding remarks can be established in advance, such as head office, group, branch, limited company, etc. A character that matches a word in the closing word database is filtered from the candidate user's company full name, and this character is the closing word participle.

S1204. The participle obtained after removing the geographic participle, the industry participle and the closing word participle from the full company name of the candidate user is used as the business name participle.

As a sign of enterprise specificity, a business name is a manifestation of the legal personality of the enterprise. Taking into account the diversity of business names, for business names, the remaining part of the field after the company's full name has been removed from the geographical participle, industry participle and closing word participle as the business name participle.

S1205. The word segmentation set of the candidate user is formed by the geographical word segmentation, industry word segmentation, closing word word segmentation, and business name word segmentation of the candidate user.

In the same way, the word segmentation set of the target user can also be divided according to the division rules of region, business name, industry, and conclusion.

In order to improve the efficiency of digital identity conversion, in one embodiment, the converting each word segment in the word segmentation set of the candidate user into a corresponding digital identity to obtain the digital identity set of the candidate user includes:

S1301 Combine the preset digital identifier of the word database representing the region and the sequence number of the position of the regional word library in the word database representing the region to obtain the digital identifier of the regional word database.

You can set up their respective digital IDs for the regional thesaurus, industry thesaurus, and concluding thesaurus in advance to uniquely identify the corresponding thesaurus, for example, set the digital ID of the regional thesaurus to 1, and set the digital ID of the industry thesaurus Set to 2, and set the digital ID of the ending word library to 3. The various words in the regional lexicon are arranged in a certain order, and each word has its own unique position number. Add the digital identifier of the regional lexicon before the position number to obtain the digital identifier of the regional word segmentation. For example, the digital identifier of the regional word database is 1, and the position number of the regional word database in the regional word database is 13, and the digital identifier of the regional word database is 113.

S1302: Combine the preset digital identifier of the word database that characterizes the industry with the position serial number of the industry word segmentation in the word database that characterizes the industry to obtain the digital identifier of the industry word segmentation.

Set up a digital identity for the industry thesaurus in advance to uniquely identify the industry thesaurus. The various words in the industry thesaurus are arranged in a certain order, and each word has its own unique position number. Add the digital ID of the industry thesaurus before the position number to get the digital ID of the industry word segmentation. For example, the digital ID of the industry word database is 2, and the position number of the regional word database in the regional word database is 13, and the digital ID of the regional word database is 213.

S1303. Combine the preset digital identifier of the word bank that characterizes the ending sentence and the position number of the ending word participle in the word bank that characterizes the ending word to obtain the digital identifier of the ending word participle.

Pre-set a digital identity for the closing word library, which is used to uniquely identify the closing word library. The words in the ending word database are arranged in a certain order, and each word has its own unique position number. Add the digital ID of the ending word database in front of the position number to get the digital identity of the ending word participle. For example, the numerical identifier of the ending word database is 3, and the position number of the ending word participle in the ending word database is 13, and the numerical identity of the regional word participle is 313.

S1304. Obtain the Hanyu Pinyin of the business name participle, and combine the position numbers of each letter in the Hanyu Pinyin alphabet in the Hanyu Pinyin alphabet to obtain the digital ID of the business name participle.

Pre-set the Hanyu Pinyin alphabet. The letters of the Hanyu Pinyin alphabet are arranged in a certain order, and each letter has its own unique position number. Obtain the Hanyu Pinyin of the business name participle, and then use the Hanyu Pinyin alphabet to find the position number of each letter in the Hanyu Pinyin alphabet of the business name participle, and combine these position numbers in the order of the Hanyu Pinyin of the business name participle. Get the digital ID of the business name segmentation.

S1305. The digital identification set of the candidate user is composed of the digital identification of the geographical word segmentation, the digital identification of the industry word segmentation, the digital identification of the closing word participle, and the digital identification of the business name word segmentation.

In an embodiment, the matching the digital identity set of the candidate user with the digital identity set of the target user includes:

S1401. Combine the digital identifiers of the geographic segmentation, the digital identifiers of the industry segmentation, the digital identifiers of the closing word segmentation, and the digital identifiers of the business name segmentation in the digital identifier set of the candidate user with the geographic segmentation in the digital identifier set of the target user Perform similar matching of the digital identifier of the digital identifier, the digital identifier of the industry word segmentation, the digital identifier of the closing word segmentation, and the digital identifier of the business name segmentation to obtain the similarity of the geographical word segmentation, the similarity of the industry word segmentation, the similarity of the ending word segmentation and the similarity of the business name segmentation.

Homogeneous matching refers to: match the digital identifier of the candidate user's geographic segmentation with the digital identifier of the target user's geographic segmentation to obtain the similarity of the geographic segmentation; the digital identifier of the candidate user's business name segmentation and the digital identifier of the target user's business name segmentation Perform matching to obtain the similarity of the word segmentation of the business name; match the digital ID of the industry word segmentation of the candidate user with the digital ID of the target user's industry word segmentation to obtain the similarity of the industry word segmentation; the digital ID of the closing word segmentation of the candidate user and the closing word of the target user The digital identifier of the word segmentation is matched to obtain the similarity of the ending word segmentation.

S1402: Calculate the similarity of the geographical segmentation, the similarity of the industry segmentation, the weighting sum of the similarity of the ending word segmentation and the similarity of the business name segmentation; the weight corresponding to the similarity of the business name segmentation, the industry The weight corresponding to the similarity of the word segmentation, the weight corresponding to the similarity of the regional word segmentation, and the weight corresponding to the similarity of the ending word segmentation are sequentially reduced.

In order to improve the accuracy of information push, the rules of setting the weight and weight are as follows: business name segmentation> industry participle> geographical participle> closing sentence participle. Calculate the weight sum according to the following formula: weight sum = weight of business name participle * similarity of business name participle + weight of industry participle * similarity of industry participle + weight of geographical participle * similarity of geographical participle + weight of ending word participle* The similarity of the ending participle.

S1403. If the weight sum is greater than the first preset value, it is determined that the match is consistent, otherwise it is determined that it does not match.

Two users are called colleagues. First, it is necessary to ensure that the company names of the two users are the same. On this basis, the intimacy is determined by combining other information to further improve the accuracy of information push. The colleague here can be the colleague of the current employer or the colleague of the former company. Determine whether the full company name of the target user and the candidate user are the same, that is, compare the full company name of the target user with the full company name of the candidate user. If the two are consistent, they belong to the same company, otherwise they do not belong to the same company.

Therefore, in one embodiment, the pushing the candidate user information to the target user includes:

S1501. Obtain work information of the candidate user in the company indicated by the full name of the company, and work information of the target user in the company indicated by the full name of the company.

Colleague relationship intimacy is used to characterize the degree of intimacy between colleagues. This application considers the work information to obtain the work information of candidate users and the work information of target users. Optionally, the job information includes year of employment, position, project name, work experience, and work city, etc. The obtained job information and the company name used in the above steps can be stored in the form of feature vectors, for example, [company name, year of employment, position, project name, work experience, work city].

S1502. Calculate the similarity between the job information of the candidate user and the job information of the target user.

The similarity between the job information of the candidate user and the job information of the target user can be calculated using the existing method in the prior art.

S1503: If the similarity is greater than a second preset value, push the candidate user information to the target user.

If the job information includes multiple contents, for example, the job information includes the year of employment, position, project name, work experience, and work city, in one embodiment, the calculation of the candidate user’s job information and the target user’s job The similarity between information, including:

S1502a. Match the year of employment, position, project name, work experience, and work city of the candidate user with the year of employment, position, project name, work experience, and work city of the target user to obtain similarity in the year of employment , Job similarity, project name similarity, work experience similarity and work city similarity.

Homogeneous matching refers to: the candidate user’s working year is matched with the target user’s working year to obtain the similarity of the working year; the candidate user’s position is matched with the target user’s position to obtain the similarity of the position; the project name of the candidate user Match with the project name of the target user to obtain the similarity of the project name; match the work experience of the candidate user with the work experience of the target user to obtain the similarity of the work experience; match the work city of the candidate user with the work city of the target user , To obtain the similarity of the working city.

S1502b. Calculate the weighted sum of the similarity of the employment year, the similarity of the post, the similarity of the project name, the similarity of the work experience and the similarity of the working city to obtain the candidate user The degree of similarity between the work information of and the work information of the target user.

You can set a weight for the job information uniformly, or you can set different weights for different content contained in the job information, for example, set different weights for the year of employment, position, project name, work experience, and work city. The similarity of the work information between the target user and the candidate user can be calculated according to the calculation formula: the weight of a certain item of content contained in the work information * the similarity of the content.

Optionally, when calculating the similarity between the years of employment, the similarity can be determined according to the number of overlapping years of employment. For example, if the target user and the candidate user have overlapping years of employment for 3 years, the similarity is 3.

Optionally, when calculating the similarity of the positions, a vector of the position is generated, and the similarity between the vectors of the two positions is calculated. The specific calculation method can be implemented according to the existing method in the prior art.

Optionally, when calculating the similarity of project names, generate a vector of project names, and calculate the similarity between the vectors of two project names; or, set the similarity of identical project names to 1, and set all the rest Is 0; or, the similarity of the same project name is set to 1, and the rest is judged whether it belongs to the project name related to the project name of the target user. If it belongs to the related project name, the similarity is set to less than 1 and A certain value greater than 0, otherwise set to 0, etc.

Optionally, when calculating the similarity of the work experience, extract the work responsibilities in the work experience, generate a vector of work responsibilities, and calculate the similarity between two work responsibilities vectors.

Optionally, when calculating the similarity of the working city, the similarity of the working city is set to 1, and all the others are set to 0.

The interactive relationship information is used to describe other users who interact with a user, such as a user's post promoter, or a user's background investigation certifier. In order to further improve the accuracy of information push, it is also possible to combine interactive relationship information, and combine the interactive relationship information with work information as a data source for determining whether to push information. Therefore, in an embodiment, the calculating the similarity between the job information of the candidate user and the job information of the target user includes:

S15021. Obtain the interactive relationship information of the candidate user and the interactive relationship information of the target user.

S15022. Calculate the similarity between the interactive relationship information of the candidate user and the interactive relationship information of the target user.

There are many ways to calculate the similarity of interactive relationship information. For example, when calculating the similarity of the post introducer, if the candidate user's post introducer is the same as the target user, the similarity is set to 1, otherwise it is set to 0. However, considering that the target user may be the candidate user’s position referrer, or the candidate user may be the target user’s position referrer, in this case the intimacy between the two is relatively high, so the similarity can be calculated first Determine whether one of the users is another user’s post introducer, if so, directly set the similarity to a larger value, for example 2, if not, then determine the candidate user’s post introductor and the target user’s position Whether the interpolators are the same, the similarity is set to 1, otherwise the similarity is set to 0. The similarity calculation method of other information in the interactive relationship information is similar.

S15023. Obtain a final similarity between the candidate user and the target user according to the similarity between the work information and the similarity between the interactive relationship information.

There are many ways to obtain the final similarity according to the similarity between the work information and the similarity between the interactive relationship information. For example, the similarity between the work information and the similarity between the interactive relationship information are added to obtain The final similarity, or multiplying the similarity between the work information and the similarity between the interactive relationship information to obtain the final similarity, and so on.

Based on the same inventive concept, this application also provides an information push device. The specific implementation of the device of this application will be described in detail below with reference to the accompanying drawings.

As shown in FIG. 2, it is a schematic diagram of an information pushing device of an embodiment, and the device includes:

The full company name obtaining module 210 is used to obtain the full company name of the candidate user;

The word segmentation module 220 is configured to segment the full name of the candidate user's company to obtain the word segmentation set of the candidate user;

The digital identity conversion module 230 is configured to convert each word segment in the word segmentation set of the candidate user into a corresponding digital identity to obtain the digital identity set of the candidate user;

The matching module 240 is configured to match the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

The information push module 250 is configured to push the candidate user's information to the target user when the matches are consistent.

In one embodiment, the word segmentation module 220 includes:

The geographical word segmentation acquisition module is used to screen out the geographical word segmentation from the full company name of the candidate user according to the preset word database representing the geographical area;

The industry word segmentation acquisition module is used to screen out the industry word segmentation from the full company names of the candidate users according to the preset word database representing the industry;

The concluding word segmentation acquisition module is used to filter the concluding word segmentation from the full company name of the candidate user according to the preset vocabulary that characterizes the concluding sentence; the concluding sentence is used to describe the organizational form of the company;

The business name segmentation acquisition module is used to remove the geographic segmentation, the industry segmentation, and the closing word segmentation from the full company name of the candidate user as the business name segmentation;

The combination module is used to form the candidate user's word segmentation set by the candidate user's geographic word segmentation, industry word segmentation, closing sentence word segmentation and business name word segmentation.

In one embodiment, the matching module 240 includes:

The matching unit is used to combine the digital IDs of the geographical word segmentation, the digital IDs of the industry word segmentation, the digital IDs of the closing word segmentation, and the digital IDs of the business name segmentation in the digital ID set of the candidate users with the digital IDs of the target user Perform similar matching of the digital identifier of the regional word segmentation, the digital identifier of the industry segmentation, the digital identifier of the closing word segmentation, and the digital ID of the business name segmentation to obtain the similarity of the regional word segmentation, the similarity of the industry word segmentation, the similarity of the ending word segmentation and the number of the business name segmentation Similarity

The weight and calculation unit is used to calculate the weighted sum of the similarity of the geographical segmentation, the similarity of the industry segmentation, the similarity of the ending word segmentation and the similarity of the business name segmentation; the similarity of the business name segmentation corresponds to The weight, the weight corresponding to the similarity of the industry segmentation, the weight corresponding to the similarity of the geographic segmentation, and the weight corresponding to the similarity of the ending word segmentation are sequentially reduced;

The judging unit is used for judging that the matching is consistent when the weight sum is greater than the first preset value; otherwise, judging that it does not match.

In one embodiment, the digital identity conversion module 230 includes:

The regional word segmentation digital identification obtaining unit is configured to combine the preset digital identification of the word database that characterizes the region and the position number of the regional word database in the word database that characterizes the region to obtain the digital identity of the regional word database;

The industry word segmentation digital identification obtaining unit is used to combine the preset digital identification of the word database that characterizes the industry with the position number of the industry word segmentation in the word database that characterizes the industry to obtain the digital identification of the industry word segmentation;

The ending word participle digital identification obtaining unit is used to combine the preset digital identification of the ending word database and the position number of the ending word in the ending word database to obtain the ending word participle's digital identity;

The business name segmentation digital identifier obtaining unit is used to obtain the Chinese pinyin of the business name segmentation, and combine the position numbers of the letters in the Chinese pinyin in the Hanyu Pinyin alphabet to obtain the digital identifier of the business name segmentation;

The combination unit is configured to form the digital identification set of the candidate user by the digital identification of the geographical word segmentation, the digital identification of the industry word segmentation, the digital identification of the closing sentence word segmentation, and the digital identification of the business name word segmentation.

In one embodiment, the information push module 250 includes:

A work information obtaining unit, configured to obtain work information of the candidate user in the company indicated by the full company name of the candidate, and work information of the target user in the company indicated by the full company name of the target user;

A similarity calculation unit, configured to calculate the similarity between the work information of the candidate user and the work information of the target user;

The pushing unit is configured to push the candidate user's information to the target user when the similarity is greater than a second preset value.

In an embodiment, the similarity calculation unit includes:

The interactive information acquisition subunit is used to acquire the interactive relationship information of the candidate user and the interactive relationship information of the target user;

The first similarity calculation subunit is used to calculate the similarity between the interactive relationship information of the candidate user and the interactive relationship information of the target user;

The second similarity calculation subunit is used to obtain the final similarity between the candidate user and the target user according to the similarity between the work information and the similarity between the interactive relationship information.

In an embodiment, the work information includes year of employment, position, project name, work experience, and work city; the similarity calculation unit includes:

The matching subunit is used to match the year of employment, position, project name, work experience, and work city of the candidate user with the year of employment, position, project name, work experience, and work city of the target user to obtain the incumbency Yearly similarity, job similarity, project name similarity, work experience similarity and work city similarity;

The weight and calculation subunit is used to calculate the weight sum of the similarity of the working year, the similarity of the post, the similarity of the project name, the similarity of the work experience and the similarity of the working city To obtain the similarity between the job information of the candidate user and the job information of the target user.

Other technical features of the above-mentioned information pushing device are the same as those of the above-mentioned information pushing method, and will not be repeated here.

The embodiment of the present application also provides a non-volatile computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, an information pushing method is implemented, wherein the information pushing method includes the following steps: Obtain the full company name of the candidate user; perform word segmentation on the full company name of the candidate user to obtain the word segmentation set of the candidate user; convert each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the candidate user The digital identity set of the candidate user is matched with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full name of the target user's company in the same way; if the matches are consistent, Push the candidate user's information to the target user. Wherein, the storage medium includes, but is not limited to, any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory), RAM (Random AccesSS Memory), and then Memory), EPROM (EraSable Programmable Read-Only Memory, Erasable Programmable Read-Only Memory), EEPROM (Electrically EraSable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, the storage medium includes any medium that stores or transmits information in a readable form by a device (for example, a computer). It can be a read-only memory, magnetic disk or optical disk, etc.

An embodiment of the present application also provides a computer device, which includes:

One or more processors;

Storage device 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 implement an information pushing method, wherein the information pushing method includes the following steps: obtaining candidate user information Full company name; word segmentation of the candidate user’s company name to obtain the word segmentation set of the candidate user; each word segmentation in the word segmentation set of the candidate user is converted into a corresponding digital identifier to obtain the candidate user’s digital identification set Matching the set of digital identities of the candidate users with the set of digital identities of the target user; the set of digital identities of the target user is obtained by processing the full name of the target user's company in the same way; if the match is consistent, the candidate The user's information is pushed to the target user.

3 is a schematic diagram of the structure of the computer equipment of this application, including a processor 320, a storage device 330, an input unit 340, a display unit 350 and other devices. Those skilled in the art can understand that the structural components shown in FIG. 3 do not constitute a limitation on all computer equipment, and may include more or less components than those shown in the figure, or combine certain components. The storage device 330 may be used to store the application program 310 and various functional modules. The processor 320 runs the application program 310 stored in the storage device 330 to execute various functional applications and data processing of the device. The storage device 330 may be an internal memory or an external memory, or include both internal memory and external memory. The internal memory may include read-only memory, programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory. External storage can include hard disks, floppy disks, ZIP disks, U disks, tapes, etc. The storage devices disclosed in this application include but are not limited to these types of storage devices. The storage device 330 disclosed in this application is merely an example and not a limitation.

The input unit 340 is used to receive the input of the signal and the full name of the company. The input unit 340 may include a touch panel and other input devices. The touch panel can collect the user's touch operations on or near it (for example, the user uses any suitable objects or accessories such as fingers, stylus, etc., to operate on the touch panel or near the touch panel), and according to preset The program drives the corresponding connection device; other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as playback control buttons, switch buttons, etc.), trackball, mouse, and joystick. The display unit 350 may be used to display information input by the user or information provided to the user and various menus of the computer device. The display unit 350 may take the form of a liquid crystal display, an organic light emitting diode, or the like. The processor 320 is the control center of the computer equipment. It uses various interfaces and lines to connect the various parts of the entire computer, runs or executes the software programs and/or modules stored in the storage device 330, and calls data stored in the storage device. , Perform various functions and process data.

In one embodiment, the computer device includes one or more processors 320, one or more storage devices 330, and one or more application programs 310, where the one or more application programs 310 are stored in the storage device 330. It is configured to be executed by the one or more processors 320, and the one or more application programs 310 are configured to execute the information pushing method described in the above embodiments.

The foregoing information push method, device, computer-readable storage medium and computer equipment have the following advantages when compared with the prior art:

1. The matching of the full name of the company is replaced by the matching of the digital identifier of the word segmentation. Since the matching efficiency of the digital identifier is higher than the matching efficiency of the Chinese character, the calculation efficiency is greatly improved by this method.

2. On the basis of matching the company’s full name, it introduces the work information dimensions such as the year of employment, position, project name, work experience, and work city, as well as the interactive relationship information such as position inference and certifier, and assigns different weights to achieve the goal Accurate quantification of co-worker relationship intimacy improves the accuracy of information push.

It should be understood that, although the various steps in the flowchart of the drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless explicitly stated in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the order of execution is also It is not necessarily performed sequentially, but may be performed alternately or alternately with other steps or at least a part of sub-steps or stages of other steps.

It should be understood that the functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules.

Claims (20)

1. An information push method, including:

   Get the full name of the company of the candidate user;

   Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

   Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

   Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

   If the matches are consistent, push the candidate user information to the target user.
2. The information push method according to claim 1, wherein the segmentation of the full company name of the candidate user to obtain the segmentation set of the candidate user comprises:

   According to the pre-set word database that characterizes the region, select the regional word segmentation from the full company name of the candidate user;

   According to the preset word database that characterizes the industry, the industry word segmentation is selected from the full names of the candidate users' companies;

   According to the preset vocabulary that characterizes the closing words, the closing words are selected from the full company names of the candidate users; the closing words are used to describe the organizational form of the company;

   The participle obtained after removing the geographical participle, the industry participle and the closing word participle from the full company name of the candidate user is used as the business name participle;

   The candidate user’s geographic word segmentation, industry word segmentation, closing word participle and business name word segmentation form the word segmentation set of the candidate user.
3. The information pushing method according to claim 2, wherein the matching the digital identity set of the candidate user with the digital identity set of the target user comprises:

   Combining the digital identifiers of the geographic segmentation, the digital identifiers of the industry segmentation, the digital identifiers of the closing word segmentation, and the digital identifier of the business name segmentation in the digital identifier set of the candidate user with the number of the geographic segmentation in the digital identifier set of the target user Identification, industry segmentation digital identifiers, closing sentence segmentation digital identifiers, and business name segmentation digital identifiers perform similar matching to obtain the similarity of geographic segmentation, industry segmentation similarity, closing sentence segmentation similarity and business name segmentation similarity;

   Calculate the weights of the similarity of the regional word segmentation, the similarity of the industry word segmentation, the similarity of the ending word segmentation and the similarity of the business name participle; the weight corresponding to the similarity of the business name participle, the weight of the industry word segmentation The weight corresponding to the similarity, the weight corresponding to the similarity of the geographical participle, and the weight corresponding to the similarity of the ending participle decrease in order;

   If the weight sum is greater than the first preset value, it is determined that the match is consistent, otherwise it is determined that it does not match.
4. The information push method according to claim 2, wherein the converting each word segment in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user comprises:

   Combining the preset digital identifier of the lexicon that characterizes the region and the sequence number of the position of the regional word bank in the lexicon that characterizes the region to obtain the digital identifier of the regional word bank;

   Combining the preset digital identifier of the word database that characterizes the industry and the position serial number of the industry word segmentation in the word database that characterizes the industry to obtain the digital identifier of the industry word segmentation;

   Combining the preset digital identifier of the word bank that characterizes the ending sentence and the position number of the ending word participle in the word bank that characterizes the ending word to obtain the digital identifier of the ending word participle;

   Obtaining the Chinese pinyin of the business name participle, and combining the position numbers of each letter in the Chinese pinyin in the Chinese phonetic alphabet to obtain the digital identifier of the business name participle;

   The digital identifier of the regional word segmentation, the digital identifier of the industry word segmentation, the digital identifier of the closing word segmentation, and the digital identifier of the business name segmentation form the digital identifier set of the candidate user.
5. The information pushing method according to any one of claims 1 to 4, wherein the pushing the candidate user's information to the target user includes:

   Obtaining the job information of the candidate user in the company indicated by the full name of the company, and the job information of the target user in the company indicated by the full name of the company;

   Calculating the similarity between the work information of the candidate user and the work information of the target user;

   If the similarity is greater than the second preset value, the information of the candidate user is pushed to the target user.
6. The information push method according to claim 5, wherein said calculating the similarity between the work information of the candidate user and the work information of the target user comprises:

   Acquiring the interactive relationship information of the candidate user and the interactive relationship information of the target user;

   Calculating the similarity between the interactive relationship information of the candidate user and the interactive relationship information of the target user;

   According to the similarity between the work information and the similarity between the interactive relationship information, the final similarity between the candidate user and the target user is obtained.
7. The information push method according to claim 5, wherein the work information includes year of employment, position, project name, work experience and work city;

   The calculating the similarity between the work information of the candidate user and the work information of the target user includes:

   The candidate user’s year of employment, position, project name, work experience and work city and the target user’s year of employment, position, project name, work experience and work city are matched in the same way to obtain the similarity and position of the working year The similarity of the project name, the similarity of the work experience and the similarity of the working city;

   Calculate the weighted sum of the similarity of the working year, the similarity of the position, the similarity of the project name, the similarity of the work experience and the similarity of the working city to obtain the job of the candidate user The similarity between the information and the job information of the target user.
8. An information push device includes:

   The full company name acquisition module is used to obtain the full company name of the candidate user;

   The word segmentation module is used to segment the full company name of the candidate user to obtain the word segmentation set of the candidate user;

   A digital identity conversion module, configured to convert each word segment in the word segmentation set of the candidate user into a corresponding digital identity to obtain the digital identity set of the candidate user;

   The matching module is configured to match the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

   The information push module is configured to push the candidate user's information to the target user when the matches are consistent.
9. A non-volatile computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, an information push method is realized;

   Wherein, the information pushing method includes the following steps:

   Get the full name of the company of the candidate user;

   Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

   Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

   Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

   If the matches are consistent, push the candidate user information to the target user.
10. According to the non-volatile computer-readable storage medium of claim 9, the segmentation of the full company name of the candidate user to obtain the segmentation set of the candidate user comprises:

    According to the pre-set word database that characterizes the region, select the regional word segmentation from the full company name of the candidate user;

    According to the preset word database that characterizes the industry, the industry word segmentation is selected from the full names of the candidate users' companies;

    According to the preset vocabulary that characterizes the closing words, the closing words are selected from the full company names of the candidate users; the closing words are used to describe the organizational form of the company;

    The participle obtained after removing the geographical participle, the industry participle and the closing word participle from the full company name of the candidate user is used as the business name participle;

    The candidate user’s geographic word segmentation, industry word segmentation, closing word participle and business name word segmentation form the word segmentation set of the candidate user.
11. The non-volatile computer-readable storage medium according to claim 10, wherein the matching of the digital identity set of the candidate user with the digital identity set of the target user comprises:

    Combining the digital identifiers of the geographic segmentation, the digital identifiers of the industry segmentation, the digital identifiers of the closing word segmentation, and the digital identifier of the business name segmentation in the digital identifier set of the candidate user with the number of the geographic segmentation in the digital identifier set of the target user Identification, industry segmentation digital identifiers, closing sentence segmentation digital identifiers, and business name segmentation digital identifiers perform similar matching to obtain the similarity of geographic segmentation, industry segmentation similarity, closing sentence segmentation similarity and business name segmentation similarity;

    Calculate the weights of the similarity of the regional word segmentation, the similarity of the industry word segmentation, the similarity of the ending word segmentation and the similarity of the business name participle; the weight corresponding to the similarity of the business name participle, the weight of the industry word segmentation The weight corresponding to the similarity, the weight corresponding to the similarity of the geographical participle, and the weight corresponding to the similarity of the ending participle decrease in order;

    If the weight sum is greater than the first preset value, it is determined that the match is consistent, otherwise it is determined that it does not match.
12. The non-volatile computer-readable storage medium according to claim 10, wherein the converting each word segment in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user comprises:

    Combining the preset digital identifier of the lexicon that characterizes the region and the sequence number of the position of the regional word bank in the lexicon that characterizes the region to obtain the digital identifier of the regional word bank;

    Combining the preset digital identifier of the word database that characterizes the industry and the position serial number of the industry word segmentation in the word database that characterizes the industry to obtain the digital identifier of the industry word segmentation;

    Combining the preset digital identifier of the word bank that characterizes the ending sentence and the position number of the ending word participle in the word bank that characterizes the ending word to obtain the digital identifier of the ending word participle;

    Obtaining the Chinese pinyin of the business name participle, and combining the position numbers of each letter in the Chinese pinyin in the Chinese phonetic alphabet to obtain the digital identifier of the business name participle;

    The digital identifier of the regional word segmentation, the digital identifier of the industry word segmentation, the digital identifier of the closing word segmentation, and the digital identifier of the business name segmentation form the digital identifier set of the candidate user.
13. Pushing the candidate user's information to the target user according to any one of claims 9-12 includes:

    Obtaining the job information of the candidate user in the company indicated by the full name of the company, and the job information of the target user in the company indicated by the full name of the company;

    Calculating the similarity between the work information of the candidate user and the work information of the target user;

    If the similarity is greater than the second preset value, the information of the candidate user is pushed to the target user.
14. A computer device, the computer device includes:

    One or more processors;

    Storage device 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 execute an information pushing method; wherein, the information pushing method includes the following steps:

    Get the full name of the company of the candidate user;

    Perform word segmentation on the full company name of the candidate user to obtain a word segmentation set of the candidate user;

    Converting each word segmentation in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user;

    Matching the digital identity set of the candidate user with the digital identity set of the target user; the digital identity set of the target user is obtained by processing the full company name of the target user in the same manner;

    If the matches are consistent, push the candidate user information to the target user.
15. The computer device according to claim 14, wherein the word segmentation of the full company name of the candidate user to obtain the word segmentation set of the candidate user comprises:

    According to the pre-set word database that characterizes the region, select the regional word segmentation from the full company name of the candidate user;

    According to the preset word database that characterizes the industry, the industry word segmentation is selected from the full names of the candidate users' companies;

    According to the preset vocabulary that characterizes the closing words, the closing words are selected from the full company names of the candidate users; the closing words are used to describe the organizational form of the company;

    The participle obtained after removing the geographical participle, the industry participle and the closing word participle from the full company name of the candidate user is used as the business name participle;

    The candidate user’s geographic word segmentation, industry word segmentation, closing word participle and business name word segmentation form the word segmentation set of the candidate user.
16. The computer device according to claim 15, wherein said matching the digital identity set of the candidate user with the digital identity set of the target user comprises:

    Combining the digital identifiers of the geographic segmentation, the digital identifiers of the industry segmentation, the digital identifiers of the closing word segmentation, and the digital identifier of the business name segmentation in the digital identifier set of the candidate user with the number of the geographic segmentation in the digital identifier set of the target user Identification, industry segmentation digital identifiers, closing sentence segmentation digital identifiers, and business name segmentation digital identifiers perform similar matching to obtain the similarity of geographic segmentation, industry segmentation similarity, closing sentence segmentation similarity and business name segmentation similarity;

    Calculate the weights of the similarity of the regional word segmentation, the similarity of the industry word segmentation, the similarity of the ending word segmentation and the similarity of the business name participle; the weight corresponding to the similarity of the business name participle, and the weight of the industry The weight corresponding to the similarity, the weight corresponding to the similarity of the geographical participle, and the weight corresponding to the similarity of the ending participle decrease in order;

    If the weight sum is greater than the first preset value, it is determined that the match is consistent, otherwise it is determined that it does not match.
17. The computer device according to claim 15, wherein the converting each word segment in the word segmentation set of the candidate user into a corresponding digital identifier to obtain the digital identifier set of the candidate user comprises:

    Combining the preset digital identifier of the lexicon that characterizes the region and the sequence number of the position of the regional word bank in the lexicon that characterizes the region to obtain the digital identifier of the regional word bank;

    Combining the preset digital identifier of the word database that characterizes the industry and the position serial number of the industry word segmentation in the word database that characterizes the industry to obtain the digital identifier of the industry word segmentation;

    Combining the preset digital identifier of the word bank that characterizes the ending sentence and the position number of the ending word participle in the word bank that characterizes the ending word to obtain the digital identifier of the ending word participle;

    Obtaining the Chinese pinyin of the business name participle, and combining the position numbers of each letter in the Chinese pinyin in the Chinese phonetic alphabet to obtain the digital identifier of the business name participle;

    The digital identifier of the regional word segmentation, the digital identifier of the industry word segmentation, the digital identifier of the closing word segmentation, and the digital identifier of the business name segmentation form the digital identifier set of the candidate user.
18. The computer device according to any one of claims 14-17, wherein said pushing information of said candidate user to said target user comprises:

    Obtaining the job information of the candidate user in the company indicated by the full name of the company, and the job information of the target user in the company indicated by the full name of the company;

    Calculating the similarity between the work information of the candidate user and the work information of the target user;

    If the similarity is greater than the second preset value, the information of the candidate user is pushed to the target user.
19. The computer device according to claim 18, wherein the calculating the similarity between the job information of the candidate user and the job information of the target user comprises:

    Acquiring the interactive relationship information of the candidate user and the interactive relationship information of the target user;

    Calculating the similarity between the interactive relationship information of the candidate user and the interactive relationship information of the target user;

    According to the similarity between the work information and the similarity between the interactive relationship information, the final similarity between the candidate user and the target user is obtained.
20. The computer device according to claim 18, wherein the work information includes year of employment, position, project name, work experience, and work city;

    The calculating the similarity between the work information of the candidate user and the work information of the target user includes:

    The candidate user’s year of employment, position, project name, work experience and work city and the target user’s year of employment, position, project name, work experience and work city are matched in the same way to obtain the similarity and position of the working year The similarity of the project name, the similarity of the work experience and the similarity of the working city;

    Calculate the weighted sum of the similarity of the working year, the similarity of the position, the similarity of the project name, the similarity of the work experience and the similarity of the working city to obtain the job of the candidate user The similarity between the information and the job information of the target user.

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