A Recommendation Method for College Student Employment Information Based on User Interest Model
In order to improve the matching degree between recommended employment information and college student preference employment information,the article takes individual employment needs as a prerequisite and designs a college student employment information recommendation method based on user interest models.Firstly,using the association rules in the interest model,the interest feature points in the employment information provided by universities are matched;Secondly,under established classification rules,classify employment text information based on its content;Finally,based on the user's browsing of university employment information and the duration of stay in the employment recruitment interface,calculations are made based on the preferences of college students.The comparative experimental results show that the designed recommendation method has a good application effect.Using this method in accordance with regulations to recommend employment information for college students can increase the matching degree between recommended employment information and college students'preferred employment information,provide higher quality employment services for college students,and improve the quality of college students'employment.
user interest modelfeature information extractionemployment text informationrecommended methodsemployment informationuniversity student
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