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Method and system for matching portraits with positions

A position and portrait technology, applied in the field of person portrait and position matching, can solve the problems of ignoring the requirements of matching the other party, not taking into account the two-way matching between users and recruiting units, ignoring deep-level information, etc., to improve matching accuracy and matching speed. Effect

Active Publication Date: 2016-05-25
吕云
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] To sum up, the disadvantages of the existing technologies are similar, that is, 1) this method usually only considers the requirements of one party, and does not consider the two-way matching process between the user and the recruiting unit, ignoring the matching requirements of the other party, and has poor practicability
2) There is often a non-literal ambiguous relationship between character information and job information, treating each feature of the character and each requirement of the job independently, ignoring the correlation between character characteristics and job requirements , which ignores the hidden deep-level information, so there is a problem that it is difficult to achieve precise matching with fuzzy preferences

Method used

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  • Method and system for matching portraits with positions

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Embodiment 1

[0023] Embodiment 1, the method for matching the character portrait and position in this embodiment, see figure 1 shown, including the following main steps:

[0024]S11. Preprocessing job information.

[0025] Input: job data, including but not limited to job title, job description, etc.

[0026] Function: Segment Chinese texts such as job descriptions, and then perform regular text cleaning operations, including correcting typos, removing stop words, removing low-frequency words, etc. The rest of the job information, that is, the job information of non-Chinese text, is cleaned according to the data type (such as: continuous, discrete, nominal, etc.) according to the usual feature processing process, such as normalization.

[0027] Output: preprocessed job word sequences, including preprocessed historical job word sequences and preprocessed current job word sequences.

[0028] S12. Marking the characteristics of historical positions.

[0029] Input: the preprocessed word s...

Embodiment 2

[0056] Embodiment 2, a system for matching character portraits and positions in this embodiment, see figure 2 As shown, it includes: position information preprocessing module 21, position feature labeling module 22 connected with position information preprocessing module 21, association extraction module 23 connected with position feature labeling module 22, model training connected with position feature labeling module 22 module 24, and a result output module 25 connected to the position feature labeling module 22, the association extraction module 23 and the model training module 24 respectively.

[0057] The position information preprocessing module 21 is configured to preprocess the position information to obtain a preprocessed historical position word sequence and a preprocessed current position word sequence. Specifically, various data of the position are input to the position information preprocessing module 21, including but not limited to position title, position des...

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Abstract

The invention provides a method and a system for matching portraits with positions and aims to reserve and utilize the meaning information in the position description, tap the deeper level association between the portraits and the positions and effectively improve matching precision and the matching speed of the portraits and the positions. The method comprises steps of position information preprocessing, position characteristic marking, association extraction, model training and result outputting. The system comprises a position information preprocessing module, a position characteristic marking module, an association extraction module, a model training module and a result outputting module. According to the method and the system, the meaning information in the position description is effectively utilized, composite attributes of the portraits and position requirements can be tapped, the deeper level association can be extracted, and thereby matching precision and the matching speed of the portraits and the positions are effectively improved.

Description

【Technical field】 [0001] The invention relates to the field of computers and networks, in particular to a method and system for matching character portraits and positions. 【Background technique】 [0002] Early online recruitment platforms lacked the computing power and technical means to provide personalized recommendations to users, and focused research and development on the improvement of search technology: Divide jobs into several sub-categories based on location, industry, salary, education requirements, skill requirements, etc. category, reducing the difficulty of retrieval for users. [0003] With the development of the Internet, the industry has paid more and more attention to user experience. With the improvement of computing power and word segmentation technology, online recruitment platforms have gradually begun to transform into personalized recommendations; the earliest recommendation method is still based on retrieval, that is, user information text Segment wo...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/23G06F18/241
Inventor 吕云
Owner 吕云
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