|Reference: || G. Adomavicius and Y. Kwon. New recommendation techniques for|
multicriteria rating systems. IEEE Intelligent Systems, 22(3):48–55,
 H. Ahn, K. Kim, and I. Han. Mobile advertisement recommender system
using collaborative filtering: Mar-cf. 2006.
 D. Bridge and A. Waugh. Using experience on the read/write web:
The ghostwriter system. In Proceedings of WebCBR: The Workshop
on Reasoning from Experiences on the Web (Workshop Programme of
the Eighth International Conference on Case-Based Reasoning), pages
 R. Burke. Hybrid recommender systems: Survey and experiments. User
modeling and user-adapted interaction, 12(4):331–370, 2002.
 M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and
M. Sartin. Combining content-based and collaborative filters in an online
newspaper. In Proceedings of ACM SIGIR Workshop on Recommender
Systems, volume 60. Citeseer, 1999.
 M. Fuchs and M. Zanker. Multi-criteria ratings for recommender systems:
an empirical analysis in the tourism domain. In International
Conference on Electronic Commerce and Web Technologies, pages
100–111. Springer, 2012.
 K. Ganesan and C. Zhai. Opinion-based entity ranking. Information
Retrieval, 15(2):116–150, 2012.
 G. Huming and L. Weili. A hotel recommendation system based on
collaborative filtering and rankboost algorithm. In 2010 second international
conference on multimedia and information technology, 2010.
 A. Levi, O. Mokryn, C. Diot, and N. Taft. Finding a needle in a haystack
of reviews: cold start context-based hotel recommender system. In Proceedings
of the sixth ACM conference on Recommender systems, pages
115–122. ACM, 2012.
 Y. Liu, X. Huang, A. An, and X. Yu. Modeling and predicting the
helpfulness of online reviews. In Data Mining, 2008. ICDM’08. Eighth
IEEE International Conference on, pages 443–452. IEEE, 2008.
 C. D. Manning, P. Raghavan, and H. Sch¨utze. Introduction to Information
Retrieval. Cambridge University Press, New York, NY, USA,
 M. P. O’Mahony and B. Smyth. Learning to recommend helpful hotel
reviews. In Proceedings of the Third ACM Conference on Recommender
Systems, pages 305–308. ACM, 2009.
 S. Rendle. Factorization machines. In Proceedings of Data Mining,
2010 IEEE 10th International Conference on, pages 995–1000. IEEE,
 S. Rendle. Factorization machines with libFM. ACM Transactions on
Intelligent Systems and Technology, 3(3):57:1–57:22, May 2012.
 G. Salton, A. Wong, and C.-S. Yang. A vector space model for automatic
indexing. Communications of the ACM, 18(11):613–620, 1975.
 B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative
filtering recommendation algorithms. In Proceedings of the 10th