Research on Personalized Recommendation of High-Quality Academic Resources based on user Portrait

• DOI: 10.14569/ijacsa.2022.0131080
• Publication Date: 2022-11-03T13:01:57Z
• Authors: Jianhui Xu; Mustafa Man; Ily Amalina Ahmad...; Guoyi Li; Chao Yang; Mingxue Jin
• Keywords: Portrait

With the advent of era big data, phenomenon information overload is becoming increasingly serious. It difficult for academic users to obtain they want quickly and accurately in face massive resources. Aiming at optimization resource recommendation services, this paper constructs a multi-dimensional user portrait model proposes an Academic Resource Recommendation Algorithm Based on portrait. This first, combs relevant literature information; Secondly, attribute tags portraits, set questionnaires are designed collect real users, corresponding constructed; Then, collected data processed through certain rules, quantitatively modeled based mathematical means; Finally, construction completed model, combined with collaborative filtering algorithm, provide personalized services users. Through verification analysis simulation experiments, proposed plays great role expanding users' interest fields discovering new hobbies across disciplines.