Title :
Content-Based Filtering Recommendation Algorithm Using HMM
Author :
Li, Hui ; Cai, Fei ; Liao, Zhifang
Author_Institution :
Sch. of Software, Central South Univ., Changsha, China
Abstract :
In this paper, we combine probabilistic model and classical content-based filtering recommendation algorithms to propose a new algorithm for recommendation system, which we call content-based filtering recommendation algorithm using HMM. We utilize the HMM of recommended items to match user model and recommend items using user data. According to experiment result, this new method is more effective on describing a user´s interest compared with the VSM-based algorithm.
Keywords :
recommender systems; HMM; VSM based algorithm; content based filtering recommendation algorithm; probabilistic model; Clustering algorithms; Educational institutions; Filtering; Hidden Markov models; Motion pictures; Probability distribution; Software algorithms; HMM; content-based filtering; recommendation system;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.112
