Cold-Start User-Based Weighted Collaborative Filtering for an Implicit Recommender System for Research Facilities
暂无分享,去创建一个
[1] Jonathan L. Herlocker,et al. Clustering items for collaborative filtering , 1999 .
[2] Sergei Vassilvitskii,et al. Finding the Jaccard median , 2010, SODA '10.
[3] Scott Sanner,et al. Social collaborative filtering for cold-start recommendations , 2014, RecSys '14.
[4] Marwan Bikdash,et al. Modeling the effect of atmospheric attenuation on a propagation outdoor noise , 2016, SoutheastCon 2016.
[5] Mohamed Nadif,et al. A dynamic collaborative filtering system via a weighted clustering approach , 2016, Neurocomputing.
[6] Chun Chen,et al. An exploration of improving collaborative recommender systems via user-item subgroups , 2012, WWW.
[7] Enrique Herrera-Viedma,et al. A multi-disciplinar recommender system to advice research resources in University Digital Libraries , 2009, Expert Syst. Appl..
[8] Adam Prügel-Bennett,et al. Novel centroid selection approaches for KMeans-clustering based recommender systems , 2015, Inf. Sci..
[9] John Riedl,et al. Recommender Systems for Large-scale E-Commerce : Scalable Neighborhood Formation Using Clustering , 2002 .
[10] Arnd Kohrs,et al. Clustering for collaborative filtering applications , 1999 .
[11] Nikolaos Polatidis,et al. A dynamic multi-level collaborative filtering method for improved recommendations , 2017, Comput. Stand. Interfaces.
[12] Wei Jiang,et al. Secure Multiset Intersection Cardinality and its Application to Jaccard Coefficient , 2016, IEEE Transactions on Dependable and Secure Computing.
[13] 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.
[14] Marwan Bikdash,et al. Simulating the effect of soft undulating surface on outdoor noise propagation using equivalent sources , 2015, SoutheastCon 2015.
[15] Shie-Jue Lee,et al. A clustering based approach to improving the efficiency of collaborative filtering recommendation , 2016, Electron. Commer. Res. Appl..
[16] Marwan Bikdash,et al. An Extensible Recommendation System for Health Research , 2017, ACM Southeast Regional Conference.
[17] Enrique Herrera-Viedma,et al. A recommender system for research resources based on fuzzy linguistic modeling , 2009, Expert Syst. Appl..
[18] Yuhua Qian,et al. Multi-level preference regression for cold-start recommendations , 2018, Int. J. Mach. Learn. Cybern..
[19] Tengke Xiong,et al. Combining Collaborative Filtering and Clustering for Implicit Recommender System , 2013, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA).
[20] Marwan Bikdash,et al. Line-graph based modeling for assessing the vulnerability of transmission lines , 2017, SoutheastCon 2017.
[21] John G. Breslin,et al. Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes , 2015, JIST.
[22] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[23] Thomas Werner,et al. LitMiner and WikiGene: identifying problem-related key players of gene regulation using publication abstracts , 2005, Nucleic Acids Res..
[24] Christopher Meek,et al. A unified approach to building hybrid recommender systems , 2009, RecSys '09.
[25] Matthias Jarke,et al. A Clustering Approach for Collaborative Filtering Recommendation Using Social Network Analysis , 2011, J. Univers. Comput. Sci..