Recommender

主題：Group Recommendation

general:

- Kim, J. K.; Kim, H. K.; Oh, H. Y. & Ryu, Y. U. A group recommendation system for online communities. International Journal of Information Management, 2010, 30, 212-219

- Chen, Y. L.; Cheng, L. C. & Chuang, C. N. A group recommendation system with consideration of interactions among group members. Expert Systems with Applications, 2008, 34, 2082-2090

- Adapting Information Delivery to Groups of People. Proceedings of the First International Workshop on New Technologies for Personalized Information Access at the Tenth International Conference on User Modeling, Edinburgh, 2005

- McCarthy, K.; McGinty, L. & Smyth, B. Weber, R. & Richter, M. (Eds.) Case-Based Group Recommendation: Compromising for Success. Case-Based Reasoning Research and Development, Springer Berlin / Heidelberg, 2007, 4626, 299-313

- Amer-Yahia, S.; Roy, S. B.; Chawla, A.; Das, G. & Yu, C. Group recommendation: Semantics and efficiency. VLDB, 2009, 2,1, 754-765

- Boratto, L.; Carta, S.; Chessa, A.; Agelli, M. & Clemente, M. L. Group Recommendation with Automatic Identification of Users Communities. Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on, 2009, 3, 547 -550

- Jameson, A. & Smyth, B. Brusilovsky, P.; Kobsa, A. & Nejdl, W. (Eds.) The adaptive web. Recommendation to groups.

Springer-Verlag, 2007, 596-627

主題：Collaborative Filtering

Evaluation:

- Herlocker, J. L.; Konstan, J. A.; Terveen, L. G. & Riedl, J. T. Evaluating collaborative filtering recommender systems ACM Trans. Inf. Syst., 2004, 22, 5-53

Hybrid CF:

- Melville, P.; Mooney, R. J. & Nagarajan, R. Content-Boosted Collaborative Filtering for Improved Recommendations Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), 2002

Random Walk:

- Gallagher et al. Using ghost edges for classification in sparsely labeled networks. KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008)

- Azran. The rendezvous algorithm: Multiclass semi-supervised learning with markov random walks. Proceedings of the 24th international conference on Machine learning (2007) pp. 49-56

- Cheng et al. Recommendation via query centered random walk on k-partite graph. Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on (2008) pp. 457-462

- Fouss et al. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. Knowledge and Data Engineering, IEEE Transactions on (2007) vol. 19 (3) pp. 355-369

- Tong et al. Fast random walk with restart and its applications. Citeseer (2006)

- Liu and Yang. Eigenrank: a ranking-oriented approach to collaborative filtering. Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008) pp. 83-90

主題：Active learning

General:

- Settles. Active learning literature survey. SciencesNew York (2010) vol. 15 (2)