论文信息 - Probability Matrix Factorization Algorithm for Course Recommendation System Fusing the Influence of Nearest Neighbor Users Based on Cloud Model

Probability Matrix Factorization Algorithm for Course Recommendation System Fusing the Influence of Nearest Neighbor Users Based on Cloud Model

With the explosion of data on the online course website, getting the required course information quickly and accurately becomes more and more difficult. In this paper, probability matrix factorization algorithm for course recommendation system fusing the influence of nearest neighbor users based on cloud model is proposed. The proposed algorithm uses the cloud model to compute user similarity and integrates social information into the course recommendation. The experimental results show that the algorithm can improve the accuracy of course recommendation effectively.

Yong Tang | Jianguo Li | Zuoxi Yang | Chao Chang | Hailin Fu

[1] Reena Pagare,et al. Study of Collaborative Filtering Recommendation Algorithm - Scalability Issue , 2013 .

[2] Luo Junzhou,et al. A Collaborative Filtering Recommendation Mechanism for Cloud Computing , 2014 .

[3] Feng Xia,et al. ACRec: a co-authorship based random walk model for academic collaboration recommendation , 2014, WWW.

[4] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[5] Gao Cong,et al. A general graph-based model for recommendation in event-based social networks , 2015, 2015 IEEE 31st International Conference on Data Engineering.

[6] Yang Song,et al. Real-time automatic tag recommendation , 2008, SIGIR '08.

[7] Ruslan Salakhutdinov,et al. Probabilistic Matrix Factorization , 2007, NIPS.

[8] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.

[9] Li Chen,et al. Recommender systems based on user reviews: the state of the art , 2015, User Modeling and User-Adapted Interaction.

[10] Debajyoti Mukhopadhyay,et al. Matrix Factorization Model in Collaborative Filtering Algorithms: A Survey , 2015 .

[11] Lars Schmidt-Thieme,et al. Pairwise interaction tensor factorization for personalized tag recommendation , 2010, WSDM '10.

[12] Li Deyi,et al. A Collaborative Filtering Recommendation Algorithm Based on Cloud Model , 2007 .