Intelligent Recommendation Method for Employment Information Based on Users'Explicit and Implicit Preferences
CHEN Limin
XU Shengchao
Abstract：In order to meet the needs of intelligent recommendation of college students,a method based on user explicit and implicit preferences is designed.By establishing user portrait,the basic information of college students is summarized,and the por-trait word cloud map is generated,so as to achieve a comprehensive coverage of user explicit and implicit preferences.Neighbor-hood analysis is conducted in the word cloud map to determine the similarity of information,this paper establishes the interactive mining relationship between users and recommended information,and improves the user portrait.Then,combined with the multi-source preference and the explicit implicit preference characteristics in the portrait,the sequence is processed in the form of ontology compatibility to be recommended,and the recommendation range is expanded through neighborhood search,and the rec-ommendation results are output to realize the design of intelligent employment information recommendation model.This paper uses the bilateral matching method,adds a one-to-one and one-to-many recommendation structure,adjusts the output results,and completes the recommendation of the final employment information.The experimental results show that the hit rate of the recommen-dation method designed in this study can reach over 60%,which is superior to other recommendation methods with significant fluctu-ations.
Keywords：user explicit implicit preferencesemployment of college studentsinformation integrationintelligent recom-mendationrecommended methodsemployment direction
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：7( 3489-3494,3529 )