Fast neighbor user searching for neighborhood-based collaborative filtering with hybrid user similarity measures

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

[2]  Fernando Ortega,et al.  A collaborative filtering similarity measure based on singularities , 2012, Inf. Process. Manag..

[3]  Fei Xiong,et al.  Compare two community-based personalized information recommendation algorithms , 2014 .

[4]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[5]  Taghi M. Khoshgoftaar,et al.  A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..

[6]  Mohsen Ramezani,et al.  A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains , 2014 .

[7]  Hui Tian,et al.  A new user similarity model to improve the accuracy of collaborative filtering , 2014, Knowl. Based Syst..

[8]  Cosimo Birtolo,et al.  Advances in Clustering Collaborative Filtering by means of Fuzzy C-means and trust , 2013, Expert Syst. Appl..

[9]  Yehuda Koren,et al.  Matrix Factorization Techniques for Recommender Systems , 2009, Computer.

[10]  Kourosh Kiani,et al.  A new method to find neighbor users that improves the performance of Collaborative Filtering , 2017, Expert Syst. Appl..

[11]  Enrique Herrera-Viedma,et al.  A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling , 2015, Inf. Sci..

[12]  Hyung Jun Ahn,et al.  A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem , 2008, Inf. Sci..

[13]  J. Bobadilla,et al.  Recommender systems survey , 2013, Knowl. Based Syst..

[14]  Zhenhua Wang,et al.  An improved collaborative movie recommendation system using computational intelligence , 2014, J. Vis. Lang. Comput..

[15]  Kourosh Kiani,et al.  User based Collaborative Filtering using fuzzy C-means , 2016 .

[16]  Jianxun Liu,et al.  ClubCF: A Clustering-Based Collaborative Filtering Approach for Big Data Application , 2014, IEEE Transactions on Emerging Topics in Computing.

[17]  Yong Wang,et al.  A hybrid user similarity model for collaborative filtering , 2017, Inf. Sci..

[18]  Huseyin Polat,et al.  A comparison of clustering-based privacy-preserving collaborative filtering schemes , 2013, Appl. Soft Comput..

[19]  Chih-Fong Tsai,et al.  Cluster ensembles in collaborative filtering recommendation , 2012, Appl. Soft Comput..

[20]  Ville Ollikainen,et al.  Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data , 2014, Discovery Science.

[21]  Jai E. Jung,et al.  Weighted Similarity Schemes for High Scalability in User-Based Collaborative Filtering , 2014, Mobile Networks and Applications.

[22]  Jing Zhang,et al.  Collaborative filtering recommendation algorithm based on user preference derived from item domain features , 2014 .