Job recommendation system and recommendation method for cold start student users
A recommendation system, cold start technology, applied in informatics, data processing applications, special data processing applications, etc., can solve problems such as scoring of student users’ interest in employers and the process of submitting resumes, and achieve good job recommendation effect of effect
Inactive Publication Date: 2016-11-09
BEIHANG UNIV
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This method does not take into account the student user's interest in the employer and the process of submitting resumes
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[0058] Based on the idea that users with similar attributes have similar interests, by analyzing employment history data and combining the characteristics of job hunting and recruitment, it can be found that students with similar conditions have similar employment destinations. The present invention builds a job recommendation system for cold-start student users based on student attribute information.
[0059] In the present invention, the system calculates the similarity between the unemployed student user and the employed student user on the basis of student attributes based on the situation that the unemployed student user has no historical rating, and then predicts the unemployed student user based on the rating of the employed student user to the employer. Based on the ratings of employed student users on employers, job recommendations can be made for employed student users based on the predicted ratings. Considering that the predicted ratings of employers by students who...
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The invention discloses a job recommendation system and a recommendation method for cold start student users. In view of a condition in which a new student user has no historical score, and the system calculates similarities among the users based on user attributes; according to the scores of an employing unit by nearest neighbors, the score of the employing unit by the new user is predicted, the predicted score reflects the interest degree of the new user on the employing unit, and job recommendation can be carried out on the new user based on the predicted score. As the predicted score of the employing unit by the new user possibly comes from scores of the employing units by a different number of nearest neighbors, the system introduces a score support degree to evaluate the reliability of the predicted score, and the purpose of optimizing the recommendation is achieved. In the job recommendation field, the interest of the user can not be directly converted into a hiring behavior by the employing unit, and the system also introduces an interest efficiency parameter, and the recommendation effects are further optimized.
Description
technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a job recommendation system and recommendation method for cold-start student users, which are applicable to the optimization of job recommendation results. Background technique [0002] Personalized recommendation technology has been successfully applied in the field of e-commerce, and in the field of human resources, a job recommendation system can help establish links between job seekers and recruiters. When targeting college graduates, job recommendation systems face some new challenges. For example: students usually have no work experience, lack of job training, and sometimes they also lack clear job-seeking goals. Universities need a guiding job recommendation system to recommend potential employment units to students before they start job hunting, so as to help students clarify their job hunting goals and prepare for job hunting. In this case, the student ...
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IPC IPC(8): G06Q50/20G06F19/00
CPCG06Q50/205G16Z99/00
Inventor 刘睿荣文戈唐翠欧阳元新熊璋
Owner BEIHANG UNIV