Which App? A recommender system of applications in markets: Implementation of the service for monitoring users' interaction

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

[2]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[3]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[4]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[5]  John Riedl,et al.  Application of Dimensionality Reduction in Recommender System - A Case Study , 2000 .

[6]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[7]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[8]  Annie Chen,et al.  Context-Aware Collaborative Filtering System: Predicting the User's Preference in the Ubiquitous Computing Environment , 2005, LoCA.

[9]  Gediminas Adomavicius,et al.  Incorporating contextual information in recommender systems using a multidimensional approach , 2005, TOIS.

[10]  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.

[11]  Wolfgang Wörndl,et al.  A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications , 2007, 2007 IEEE 23rd International Conference on Data Engineering Workshop.

[12]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[13]  Paul Shabajee,et al.  Add-A-Tag: Learning Adaptive User Profiles from Bookmark Collections , 2007, ICWSM.

[14]  Licia Capra,et al.  Social ranking: uncovering relevant content using tag-based recommender systems , 2008, RecSys '08.

[15]  Richi Nayak,et al.  Collaborative Filtering Recommender Systems Using Tag Information , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[16]  Jorge García Duque,et al.  What's on tv tonight? An efficient and effective personalized recommender system of TV programs , 2009, 2009 Digest of Technical Papers International Conference on Consumer Electronics.

[17]  Alexandros Nanopoulos,et al.  Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions , 2010, Artificial Intelligence Review.

[18]  Juan C. Burguillo,et al.  Exploiting Social Tagging in a Web 2.0 Recommender System , 2010, IEEE Internet Computing.

[19]  Juan C. Burguillo,et al.  A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition , 2010, Inf. Sci..

[20]  Fatos Xhafa,et al.  Computational Intelligence for Technology Enhanced Learning , 2010, Computational Intelligence for Technology Enhanced Learning.

[21]  Hosub Lee,et al.  An adaptive user interface based on Spatiotemporal Structure Learning , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).