Reading Behaviour Based User Interests Model and Its Application in Recommender System
User interests model is a central issue for information recommender systems.Basically,a user interests model aims to describe a users interests precisely in order to improve the quality of information access.However there are three challenges for developing a user interests model,i.e.initial user information acquisition,user profile representation and description of user interests evolution.In this paper,we try to solve the problems by employing tags.We propose a user interests model which creates users profiles based on tags named interest tags and we implement a mechanism to dynamically update users profiles through analyzing their reading behaviour.The proposed user interests model can distinguish between long-term interests and short-term interests.We also present how the model can be integrated into a recommender system to help analyze users interests.We conduct experiments on massive text information collected from the Web and the results show the effectiveness of our model.
User interest model recommender system interest tag
Hanyu Li Yao Shen Chong Wang Huan Yang Riaz Ali
Department of Computer Science and Engineering Shanghai Jiao Tong University,Shanghai,China
国际会议
重庆
英文
683-690
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）