Title :
Improvement of Item-Based Collaborative Filtering Algorithm Based on Hesitation Degree
Author :
Mu, Xiangwei ; Chen, Yan ; Qin, Shenjun
Author_Institution :
Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
With an exponentially growing amount of information being added to the Internet, finding efficient and valuable information is becoming more difficult. Collaborative Filtering acts a very important role in web service personalization and Recommender System. In this paper, Hesitation Degree was proposed to improve the accuracy of Item based collaboration filtering, three kinds of Hesitation Degree were introduced into similarity computation, and the results show that the prediction accuracy can be improved by 25 percents.
Keywords :
Web services; groupware; information filtering; recommender systems; Internet; Web service; collaborative filtering; hesitation degree; personalization; recommender system; Accuracy; Collaboration; Filtering algorithms; High definition video; Presses; Recommender systems;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5660714