Title :
User activity-based CF algorithm in value-added services
Author :
Chunshan, Ma ; Huaying, Shu
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
In order to overcome problems of scoring subjectively, this paper applies CF to recommendation systems of Mobile value-added service, presents the scoring way in value-added service, transfer the users´ behavior to the extent of agreement. Meanwhile, using user contact degree to calculate the product rate which users don´t give rate in the real world, so as to solve the sparsity problem of CF. At last, experiment is adopted to prove that the method of using service activity with contact degree is better than traditional method in the field of recall frequency and precision.
Keywords :
groupware; information filtering; mobile computing; recommender systems; telecommunication services; user interfaces; CF algorithm; Collaborative Filtering; mobile services; recommendation system; user activity based; value added services; Business; Collaboration; Filtering; Filtering algorithms; Internet; Mobile communication; Nearest neighbor searches; CF; activity; recommendation; value-added service;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707527
