[2] Zheng, V. W., Cao, B., Zheng, Y., Xie, X., & Yang, Q. (2010, July). Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach. In AAAI (Vol. 10, pp. 236-241).

[3] Lika, B., Kolomvatsos, K., & Hadjiefthymiades, S. (2014). Facing the cold start problem in recommender systems. Expert Systems with Applications, 41(4), 2065-2073.

[4] Zhang, Z. K., Liu, C., Zhang, Y. C., & Zhou, T. (2010). Solving the cold-start problem in recommender systems with social tags. EPL (Europhysics Letters), 92(2), 28002.

[5] Rendle, S. (2012). Factorization machines with libfm. ACM Transactions on Intelligent Systems and Technology (TIST), 3(3), 57.

[6] Chen, T., Zhang, W., Lu, Q., Chen, K., Zheng, Z., & Yu, Y. (2012). SVDFeature: a toolkit for feature-based collaborative filtering. Journal of Machine Learning Research, 13(Dec), 3619-3622.

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