Content recommendation on web portals

How to offer recommendations to users when they have not specified what they want.

[1]  Greg Linden,et al.  Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .

[2]  J. Langford,et al.  The Epoch-Greedy algorithm for contextual multi-armed bandits , 2007, NIPS 2007.

[3]  Maksims Volkovs,et al.  Learning to rank with multiple objective functions , 2011, WWW.

[4]  Peter Auer,et al.  Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.

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

[6]  J. Gittins.  Bandit processes and dynamic allocation indices , 1979 .

[7]  Thore Graepel,et al.  Matchbox: large scale online bayesian recommendations , 2009, WWW '09.

[8]  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.

[9]  Deepak Agarwal,et al.  Online Models for Content Optimization , 2008, NIPS.

[10]  Deepak Agarwal,et al.  Click shaping to optimize multiple objectives , 2011, KDD.

[11]  Csaba Szepesvári,et al.  Bandit Based Monte-Carlo Planning , 2006, ECML.

[12]  Deepak Agarwal,et al.  Fast online learning through offline initialization for time-sensitive recommendation , 2010, KDD.

[13]  Abhinandan Das,et al.  Google news personalization: scalable online collaborative filtering , 2007, WWW '07.

[14]  P. McCullagh,et al.  Generalized Linear Models , 1984 .

[15]  Wei Chu,et al.  Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms , 2010, WSDM '11.

[16]  R. S. Laundy,et al.  Multiple Criteria Optimisation: Theory, Computation and Application , 1989 .

[17]  Zhaohui Zheng,et al.  Learning to model relatedness for news recommendation , 2011, WWW.

[18]  Patrick Seemann,et al.  Matrix Factorization Techniques for Recommender Systems , 2014 .

[19]  Ambuj Tewari,et al.  Efficient bandit algorithms for online multiclass prediction , 2008, ICML '08.

[20]  Lars Schmidt-Thieme,et al.  Factorizing personalized Markov chains for next-basket recommendation , 2010, WWW '10.

[21]  Ron Kohavi,et al.  Controlled experiments on the web: survey and practical guide , 2009, Data Mining and Knowledge Discovery.

[22]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[23]  Jiahui Liu,et al.  Personalized news recommendation based on click behavior , 2010, IUI '10.

[24]  Bee-Chung Chen,et al.  Explore/Exploit Schemes for Web Content Optimization , 2009, 2009 Ninth IEEE International Conference on Data Mining.

[25]  Bernardo A. Huberman,et al.  Predicting the popularity of online content , 2008, Commun. ACM.

[26]  Deepak Agarwal,et al.  Regression-based latent factor models , 2009, KDD.

[27]  W. R. Thompson.  ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES , 1933 .

[28]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[29]  Ian Witten,et al.  Data Mining , 2000 .

[30]  H. Robbins.  Some aspects of the sequential design of experiments , 1952 .

[31]  Deepayan Chakrabarti,et al.  Bandits for Taxonomies: A Model-based Approach , 2007, SDM.

[32]  Wei Chu,et al.  A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.

[33]  Jun Wang,et al.  Optimizing multiple objectives in collaborative filtering , 2010, RecSys '10.