Contextual and Personalized Mobile Recommendation Systems

[1]  Steve Sawyer,et al.  The Sociotechnical Nature of Mobile Computing Work: Evidence from a Study of Policing in the United State , 2005, Int. J. Technol. Hum. Interact..

[2]  Francisco C. Pereira,et al.  Tagging Space from Information Extraction and Popularity of Points of Interest , 2011, AmI.

[3]  Tao Mei,et al.  When recommendation meets mobile: contextual and personalized recommendation on the go , 2011, UbiComp '11.

[4]  Jure Leskovec,et al.  Friendship and mobility: user movement in location-based social networks , 2011, KDD.

[5]  Doug Downey,et al.  Unsupervised named-entity extraction from the Web: An experimental study , 2005, Artif. Intell..

[6]  Mark Levene,et al.  A Comparison of Scoring Metrics for Predicting the Next Navigation Step with Markov Model-Based Systems , 2010, Int. J. Inf. Technol. Decis. Mak..

[7]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[8]  Xing Xie,et al.  Collaborative activity recognition via check-in history , 2011, LBSN '11.

[9]  Henry A. Kautz,et al.  Finding your friends and following them to where you are , 2012, WSDM '12.

[10]  Feng Zhao,et al.  Hapori: context-based local search for mobile phones using community behavioral modeling and similarity , 2010, UbiComp.

[11]  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.

[12]  Carlo Curino,et al.  A data-oriented survey of context models , 2007, SGMD.

[13]  Albert-László Barabási,et al.  Understanding individual human mobility patterns , 2008, Nature.

[14]  Yu He,et al.  The YouTube video recommendation system , 2010, RecSys '10.

[15]  Hang Li,et al.  Named entity recognition in query , 2009, SIGIR.

[16]  Cecilia Mascolo,et al.  An Empirical Study of Geographic User Activity Patterns in Foursquare , 2011, ICWSM.