Collaborative Topic Regression with social trust ensemble for recommendation in social media systems

Adomavicius, 2012, Improving aggregate recommendation diversity using ranking-based techniques, IEEE Trans. Knowl. Data Eng., 24, 896, 10.1109/TKDE.2011.15 Blei, 2003, Latent Dirichlet allocation, J. Mach. Learn. Res., 3, 993 Bobadilla, 2013, Recommender systems survey, Knowledge-Based Syst., 46, 109, 10.1016/j.knosys.2013.03.012 Cantador, 2011, 2nd workshop on information heterogeneity and fusion in recommender systems (HeTrec 2011), 387 Golbeck, 2006, FilmTrust: movie recommendations using trust in web-based social networks, vol. 96, 282 Griffiths, 2004, Finding scientific topics, Proc. Natl. Acad. Sci., 101, 5228, 10.1073/pnas.0307752101 Groh, 2012, Social recommender systems, 3 Guy, 2011, Social recommender systems, 283 He, 2012, Gender: a generic diversified ranking algorithm, 1151 Hofmann, 2004, Latent semantic models for collaborative filtering, ACM Trans. Inf. Syst., 22, 89, 10.1145/963770.963774 Hu, 2008, Collaborative filtering for implicit feedback datasets, 263 Jamali, 2009, TrustWalker: a random walk model for combining trust-based and item-based recommendation, 397 Kang, 2013, LA-CTR: a limited attention collaborative topic regression for social media Kaplan, 2010, Users of the world, unite! the challenges and opportunities of social media, Bus. Horiz., 53, 59, 10.1016/j.bushor.2009.09.003 Kim, 2015, An enhanced trust propagation approach with expertise and homophily-based trust networks, Knowledge-Based Syst., 82, 20, 10.1016/j.knosys.2015.02.023 Koren, 2009, Matrix factorization techniques for recommender systems, Computer, 42, 30, 10.1109/MC.2009.263 Lu, 2015, Recommender system application developments: a survey, Decis. Support Syst., 74, 12, 10.1016/j.dss.2015.03.008 Ma, 2009, Learning to recommend with social trust ensemble, 203 Ma, 2008, SoRec: social recommendation using probabilistic matrix factorization, 931 Ma, 2011, Recommender systems with social regularization, 287 Massa, 2007, Trust metrics on controversial users: Balancing between tyranny of the majority, Int. J. Semant. Web Inf. Syst., 3, 39, 10.4018/jswis.2007010103 Purushotham, 2012, Collaborative topic regression with social matrix factorization for recommendation systems, 759 Salakhutdinov, 2007, Probabilistic matrix factorization, 1257 Shambour, 2012, A trust-semantic fusion-based recommendation approach for e-business applications, Decis. Support Syst., 54, 768, 10.1016/j.dss.2012.09.005 Su, 2009, A survey of collaborative filtering techniques, Adv. Artif. Intell., 2009, 1, 10.1155/2009/421425 Vargas, 2011, Rank and relevance in novelty and diversity metrics for recommender systems, 109 Wang, 2011, Collaborative topic modeling for recommending scientific articles, 448 Wang, 2015, Relational collaborative topic regression for recommender systems, IEEE Trans. Knowl. Data Eng., 27, 1343, 10.1109/TKDE.2014.2365789 Wendykier, 2010, Parallel colt: a high-performance java library for scientific computing and image processing, ACM Trans. Math. Softw., 37, 31, 10.1145/1824801.1824809 Wu, 2014, On improving aggregate recommendation diversity and novelty in Folksonomy-based social systems, Person. Ubiquitous Comput., 18, 1855, 10.1007/s00779-014-0785-0 Wu, 2015, Item recommendation in collaborative tagging systems via heuristic data fusion, Knowledge-Based Syst., 75, 124, 10.1016/j.knosys.2014.11.026 Yang, 2014, A survey of collaborative filtering based social recommender systems, Comput. Commun., 41, 1, 10.1016/j.comcom.2013.06.009 Ye, 2012, Exploring social influence for recommendation: a generative model approach, 671 Zeng, 2010, Social media analytics and intelligence, IEEE Intell. Syst., 25, 13, 10.1109/MIS.2010.151 Zhang, 2013, Collaborative filtering with social regularization for tv program recommendation, Knowledge-Based Syst., 54, 310, 10.1016/j.knosys.2013.09.018 Zhang, 2013, A hybrid fuzzy-based personalized recommender system for telecom products/services, Inf. Sci., 235, 117, 10.1016/j.ins.2013.01.025