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Courses in winter term 2016 / Master-Seminar: Context- and Time-Aware Recommender Systems
Readings

Readings:

Jamali, Mohsen, and Martin Ester. "A matrix factorization technique with trust propagation for recommendation in social networks." Proceedings of the fourth ACM conference on Recommender systems. ACM, 2010.

Ma, Hao, et al. "Recommender systems with social regularization." Proceedings of the fourth ACM international conference on Web search and data mining. ACM, 2011.

Vinagre, João, Alípio Mário Jorge, and João Gama. "Fast incremental matrix factorization for recommendation with positive-only feedback. "International Conference on User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014.

Matuszyk, Pawel, et al. "Forgetting methods for incremental matrix factorization in recommender systems." Proceedings of the 30th Annual ACM Symposium on Applied Computing. ACM, 2015.

Sarwar, Badrul, et al. "Incremental singular value decomposition algorithms for highly scalable recommender systems." Fifth International Conference on Computer and Information Science. 2002.

Xiong, L., Chen, X., Huang, T.-K., Schneider, J. G., and Carbonell, J. G. (2010). Temporal collaborative Filtering with Bayesian probabilistic tensor factorization. In SDM.

Li, B., Zhu, X., Li, R., Zhang, C., Xue, X., and Wu, X. (2011). Cross-domain collaborative Filtering over time. In Proceedings of the Twenty-Second international joint conference on Artificial Intelligence