Title :
Applying Multiple Agents to Fuzzy Collaborative Filtering
Author :
Liu Hongmin ; Yin Zhixi
Author_Institution :
Sch. of Electron. & Comput. Sci. & Technol., North Univ. of China, Taiyuan, China
Abstract :
Automated collaborative filtering has become a popular technique for reducing information overload. We have developed a new method for recommending items using multiple agents. The agents were established by employing the fuzzy C-means clustering technique. We employ these agents collaborating each other to get recommendation for users. The results were evaluated by using MovieLens movie´s rating data. It is shown that the algorithm is an effective metrics in collaborative filtering.
Keywords :
fuzzy set theory; groupware; information filtering; information filters; multi-agent systems; pattern clustering; fuzzy C-means clustering technique; fuzzy collaborative filtering; intelligent information agent; multiple agent; recommendation user; Clustering algorithms; Collaboration; Collaborative work; Computer science; Educational institutions; Filtering algorithms; Fuzzy sets; Information filtering; Information filters; Intelligent agent;
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
DOI :
10.1109/EBISS.2009.5137939
