CN111581504A - Industry information pushing method and system based on big data - Google Patents
Industry information pushing method and system based on big data Download PDFInfo
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- CN111581504A CN111581504A CN202010345092.2A CN202010345092A CN111581504A CN 111581504 A CN111581504 A CN 111581504A CN 202010345092 A CN202010345092 A CN 202010345092A CN 111581504 A CN111581504 A CN 111581504A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012216 screening Methods 0.000 claims abstract description 19
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 230000006399 behavior Effects 0.000 claims description 19
- 230000010365 information processing Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000002708 enhancing effect Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2468—Fuzzy queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The invention discloses an industry information pushing method and system based on big data, comprising the following steps: analyzing the employment characteristics of the user through the user information and the user behavior; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user; uniformly processing the screened industry information, and performing data conversion and distribution; pushing the industry information to a mobile client, and storing a pushing record; according to the invention, the employment characteristics of the user can be analyzed according to the user information and the user behavior, and the matched employment information is screened and pushed to the user, so that the query efficiency of the user is improved, the use difficulty of the user is reduced, and the user experience is enhanced; the invention can be used for industry pushing.
Description
Technical Field
The invention relates to the technical field of big data information pushing, in particular to an industry information pushing method and system based on big data.
Background
Big data, or mass data, refers to the data that is too large to be captured, managed, processed and organized into information that can help enterprise business decision more actively within a reasonable time through the current mainstream software tools. With the development of the internet, users increasingly search for industry information through the internet, and at present, the amount of industry information in the network is huge, users often need to obtain information needed by the users from a large amount of complicated information, the efficiency and difficulty of searching for the information in a large amount of data are low, and the user experience is seriously affected.
Disclosure of Invention
The invention aims to provide an industry information pushing method and system based on big data, which are used for solving one or more technical problems in the prior art and providing at least one beneficial selection or creation condition.
The technical scheme adopted for solving the technical problems is as follows: a big data-based industry information pushing method comprises the following steps:
s100, analyzing employment characteristics of the user through user information and user behaviors; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user;
s200, uniformly processing the screened industry information, and performing data conversion and distribution; and pushing the industry information to the mobile client, and storing a pushing record.
As a further improvement of the above technical solution, the specific method for screening in step S100 is: and setting a screening condition for each table in the industry database to search, and storing a search result as a next search condition.
As a further improvement of the above technical solution, the user information in step S100 includes enterprise user information and employment user information.
As a further improvement of the above technical solution, the user behavior in step S100 includes: user browsing behavior information and user search behavior information.
As a further improvement of the above technical solution, the step S200 of uniformly processing the screened industry information specifically includes: and reserving the screened industry information meeting the matching degree of the employment features of the user, and arranging the screened industry information from high to low according to the matching degree.
A big data based industry information push system, comprising: the system comprises a user analysis module, a screening module, an information processing module and a pushing module.
The user analysis module is used for analyzing the employment characteristics of the user through the user information and the user behavior.
The screening module is used for screening the industry information matched with the employment characteristics of the user in the industry database according to the employment characteristics of the user.
The information processing module is used for uniformly processing the called industry information and performing data conversion and distribution.
The pushing module is used for pushing the industry information to the mobile client and storing the pushing record.
The invention has the beneficial effects that: the invention can analyze the employment characteristics of the user according to the user information and the user behavior, screen the matched employment information and push the information to the user, thereby improving the query efficiency of the user, reducing the use difficulty of the user and enhancing the user experience.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an industry information pushing method and system based on big data according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as the upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, but does not indicate or imply that the system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and larger, smaller, larger, etc. are understood as excluding the number, and larger, smaller, inner, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
Referring to fig. 1, a big data-based industry information pushing method includes the following steps:
s100, analyzing employment characteristics of the user through user information and user behaviors; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user;
preferably, the industry information comprises a company information table and a professional information table, and the company information table corresponds to the professional information table; the company information table comprises a company name table, a company time table, a company position table and a company introduction table; the career information table comprises a career name table, a career introduction table and a career requirement table. And updating the industry database in real time.
The screening method comprises the following specific steps: and setting a screening condition for each table in the industry database to search, and storing a search result as a next search condition.
Preferably, the user information comprises enterprise user information and employment user information; the employment user information includes: personnel information, interest characteristic information, company information, experience information, and certificate information; the personnel information comprises information such as user name, gender, contact information, address and the like.
Preferably, the user behavior comprises: user browsing behavior information and user search behavior information.
In one embodiment, each vocabulary may be ranked according to complexity. Each word list comprises two fields, the first field is a word field, the second field is a corresponding value field, the word field records words in the word list, the value field records an index value corresponding to the word, the index value is a specific value corresponding to the keyword, and corresponding industry information content can be searched according to the index value. When looking up the keywords in the keyword set in the conditional vocabulary, fuzzy matching is performed, for example, the keyword "river" can be matched with "river" in the vocabulary. When searching, the keywords can be fuzzy matched with the words in the searched word list, so that repeated searching of the word list can be avoided. When searching, each keyword can be matched with words in each primary word list (including primary time word list, primary space word list, primary attribute word list, etc.), when no corresponding word is matched in the primary word list, the keyword can be matched in the secondary word list, and so on. And according to the keywords and the index values in the searched condition word list, the condition category to which the keywords in the information input by the user belong can be obtained.
S200, uniformly processing the screened industry information, and performing data conversion and distribution; and pushing the industry information to the mobile client, and storing a pushing record.
The unified processing of the screened industry information specifically comprises the following steps: and reserving the screened industry information meeting the matching degree of the employment features of the user, and arranging the screened industry information from high to low according to the matching degree.
As the optimization method of the above embodiment, after the user successfully registers at the mobile client or the query terminal, the user information is acquired; the user information comprises enterprise user information and employment user information, interest characteristics of enterprise employment requirements are obtained for the enterprise user information, and interest characteristics of industries and positions related to employees are obtained for the employment user information; the relevant employment information can be matched and recommended according to the interest characteristics of the user, and the recommendation of relevant companies or the recommendation of relevant professions can be carried out according to the interest characteristics of the user.
The industry information in the database is provided with a characteristic label, and according to the matching degree of the characteristic label and the interest characteristic, the industry information meeting the matching degree is recommended to the user as the industry information corresponding to the interest characteristic.
As the optimization method of the above embodiment, the unified processing is to perform format conversion on the acquired employment information, convert the employment information into a corresponding transmission format, and distribute the transmission format to a subordinate user; the system is unified, the transmission efficiency can be accelerated, and the later expansibility and the universality can be improved conveniently.
A big data based industry information push system, comprising: the system comprises a user analysis module, a screening module, an information processing module and a pushing module.
The user analysis module is used for analyzing the employment characteristics of the user through the user information and the user behavior.
The screening module is used for screening the industry information matched with the employment characteristics of the user in the industry database according to the employment characteristics of the user.
The information processing module is used for uniformly processing the called industry information and performing data conversion and distribution.
The pushing module is used for pushing the industry information to the mobile client and storing the pushing record.
Preferably, when the system is used, a user queries industry data information in the data information query platform through the user mobile terminal, the user analysis module records and analyzes user information, a user browsed website and a search record, and the user analysis module records and stores user behavior information such as user downloading information, user webpage retention time and user added collection information, so that the accuracy of later information pushing is guaranteed, and the industry information pushing system based on big data has a user behavior recording function; the screening module is matched with the user analysis module to determine relevant information required by a user, the information downloading module generates text data of the information required by the user, the link generation module generates webpage links of the relevant data, and the pushing module is used for pushing text information and the webpage links required by the user to the user.
The invention can analyze the employment characteristics of the user according to the user information and the user behavior, screen the matched employment information and push the information to the user, thereby improving the query efficiency of the user, reducing the use difficulty of the user and enhancing the user experience.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (6)
1. A big data-based industry information pushing method is characterized in that: the method comprises the following steps:
s100, analyzing employment characteristics of the user through user information and user behaviors; screening industry information matched with the employment characteristics of the user in an industry database storing the industry information according to the employment characteristics of the user;
s200, uniformly processing the screened industry information, and performing data conversion and distribution; and pushing the industry information to the mobile client, and storing a pushing record.
2. The industry information pushing method based on big data as claimed in claim 1, wherein: the specific method for screening in step S100 is: and setting a screening condition for each table in the industry database to search, and storing a search result as a next search condition.
3. The industry information pushing method based on big data as claimed in claim 1, wherein: the user information in step S100 includes enterprise user information and employment user information.
4. The industry information pushing method based on big data as claimed in claim 1, wherein: the user behavior in step S100 includes: user browsing behavior information and user search behavior information.
5. The industry information pushing method based on big data as claimed in claim 1, wherein: the step S200 of uniformly processing the screened industry information specifically includes: and reserving the screened industry information meeting the matching degree of the employment features of the user, and arranging the screened industry information from high to low according to the matching degree.
6. The utility model provides an industry information push system based on big data which characterized in that: the method comprises the following steps:
the user analysis module is used for analyzing the employment characteristics of the user through the user information and the user behavior;
the screening module is used for screening the industry information matched with the employment characteristics of the user in an industry database according to the employment characteristics of the user;
the information processing module is used for uniformly processing the called industry information and performing data conversion and distribution;
and the pushing module is used for pushing the industry information to the mobile client and storing the pushing record.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010345092.2A CN111581504A (en) | 2020-04-27 | 2020-04-27 | Industry information pushing method and system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010345092.2A CN111581504A (en) | 2020-04-27 | 2020-04-27 | Industry information pushing method and system based on big data |
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| CN111581504A true CN111581504A (en) | 2020-08-25 |
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| CN202010345092.2A Pending CN111581504A (en) | 2020-04-27 | 2020-04-27 | Industry information pushing method and system based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114900554A (en) * | 2022-04-28 | 2022-08-12 | 北京北春园商贸有限责任公司 | Social media information accurate pushing system and device based on big data |
| CN116662400A (en) * | 2023-08-02 | 2023-08-29 | 深圳市易图资讯股份有限公司 | Employment matching method and system based on data analysis |
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2020
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| CN107370830A (en) * | 2017-08-31 | 2017-11-21 | 成都中建科联网络科技有限公司 | Trade information supplying system and method based on big data |
| CN108319735A (en) * | 2018-05-11 | 2018-07-24 | 重庆工商职业学院 | A kind of job information push inquiry system and its method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114900554A (en) * | 2022-04-28 | 2022-08-12 | 北京北春园商贸有限责任公司 | Social media information accurate pushing system and device based on big data |
| CN114900554B (en) * | 2022-04-28 | 2023-07-21 | 河南省中视新科文化产业有限公司 | Accurate pushing system and equipment of social media information based on big data |
| CN116662400A (en) * | 2023-08-02 | 2023-08-29 | 深圳市易图资讯股份有限公司 | Employment matching method and system based on data analysis |
| CN116662400B (en) * | 2023-08-02 | 2024-01-02 | 深圳市易图资讯股份有限公司 | Employment matching method and system based on data analysis |
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