Vacant position intelligent recommendation method based on GPU (graphics processing unit) acceleration

A recommendation method and technology for positions, applied in energy-saving computing, special data processing applications, instruments, etc., can solve problems such as lack of personalization, low computing performance, and positions that cannot be recommended, achieving low power consumption, shortening computing time, low cost effect

Inactive Publication Date: 2012-10-03
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

This recommendation method has the following disadvantages: (1) The positions recommended for each applicant are the same and lack of personalization; (2) Those positions that are not popular but very suitable for applicants cannot be recommended; ( 3) Traditional calculations only use the CPU for numerical calculations, and the calculation performance is e

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  • Vacant position intelligent recommendation method based on GPU (graphics processing unit) acceleration
  • Vacant position intelligent recommendation method based on GPU (graphics processing unit) acceleration
  • Vacant position intelligent recommendation method based on GPU (graphics processing unit) acceleration

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Embodiment Construction

[0033] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the implementation of the present invention is not limited thereto.

[0034] figure 1 It is a schematic diagram of the intelligent recommendation method. The information of applicants' registration and access to the recruitment website is recorded as static and dynamic attribute information and stored in the database; "similarity matrix" and "scoring matrix" are generated according to the applicant's attribute information; according to the " "Similarity Matrix" and "Scoring Matrix" are calculated to generate a "Prediction Matrix", which contains the predicted values ​​of candidates' ratings for all positions; finally, a "Recommendation Matrix" is generated based on the "Scoring Matrix" and "Prediction Matrix", and this matrix Contains data about recommended jobs for candidates.

[0035]This embodiment requires the support of an independent graphic...

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Abstract

The invention provides a vacant position intelligent recommendation method based on GPU (graphics processing unit) acceleration. The vacant position intelligent recommendation method is applied in a recommendation engine on a recruitment website. With the adoption of the vacant position intelligent recommendation method, registration information and visit information of an applicant are expressed into matrix form suitable for being processed by the GPU; and with the adoption of strong processing ability of the GPU and a computing mode of remedying shortage of the GPU property by high bandwidth, thousands of GPU threads are subjected to concurrent computing. With the adoption of the vacant position intelligent recommendation method, the level of similarity between two applicants is calculated based on an Euclidean distance formula, then the appropriate level of all vacant positions corresponding to the applicant is predicated intelligently according to the attribute information of the applicant, and finally the most suitable vacant position is recommended to the applicant. The expensive traditional computer cluster technology is not used when mass data are processed but a GPU technique with high cost performance is used, so that the ultimate aims of high performance, low energy consumption and low cost are realized.

Description

technical field [0001] The present invention generally relates to the field of computer recommendation engines, and in particular to an intelligent recommendation method for recruitment positions based on GPU acceleration. Background technique [0002] Online recruitment and online job hunting have become a major way of talent exchange in today's society. The employer and the applicant register an account on the third-party talent recruitment website, search and communicate with each other, in order to find the most satisfactory object. Talent recruitment websites have a large number of positions. After logging into the website, an applicant can only browse positions from the job list, or rely on keywords to search for positions that may be suitable for him. The number of job listings is often huge, and applicants cannot find the jobs they are interested in in a short period of time; while using keyword search, the number and accuracy of keywords used by applicants are very...

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Application Information

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IPC IPC(8): G06Q50/10G06F17/30
CPCY02D10/00
Inventor 黄翰林泳林镇泽蔡昭权秦勇杨忠明
Owner SOUTH CHINA UNIV OF TECH
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