DIN 1505-2

Blohm, I., Ott, F., Bretschneider, U., Huber, M., Rieger, M., Glatz, F., Koch, M., Leimeister, J. M., Krcmar, H.: Extending Open Innovation Platforms into the real world - Using Large Displays in Public Spaces. 10. In: 10. European Academy of Management Conference (EURAM) 2010. Rome, Italy, 2010. - 197 (45-10)

Gemmell, Jonathan, Schimoler, Thomas R., Christiansen, Laura, Mobasher, Bamshad ; Jannach, Dietmar, Geyer, Werner, Freyne, Jill, Anand, Sarabjot Singh, Dugan, Casey, Mobasher, Bamshad, Kobsa, Alfred: Improving Folkrank With Item-Based Collaborative Filtering. 532. In: ACM RecSys'09 Workshop on Recommender Systems and the Social Web, 2009 (CEUR-WS.org), S. 17--24

Koren, Yehuda: Collaborative filtering with temporal dynamics. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA : ACM, 2009. - ISBN 978-1-60558-495-9, S. 447--456

Liang, Huizhi, Xu, Yue, Li, Yuefeng, Nayak, Richi, Tag Based Collaborative Filtering for Recommender Systems, in: Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku, Wang, Guoyin (Hrsg.), Rough Sets and Knowledge Technology , Bd. 5589, Berlin, Heidelberg 2009, S. 666--673.

Parra, Denis, Brusilovsky, Peter: Evaluation of Collaborative Filtering Algorithms for Recommending Articles on CiteULike. 467. In: Proceedings of the Workshop on Web 3.0: Merging Semantic Web and Social Web, 2009 (CEUR Workshop Proceedings)

Takács, Gábor, Pilászy, István, Németh, Bottyán, Tikk, Domonkos, Scalable Collaborative Filtering Approaches for Large Recommender Systems, in: Journal of Machine Learning Research 10 (2009), S. 623--656.

Jaeschke, Robert, Marinho, Leandro, Hotho, Andreas, Schmidt-Thieme, Lars, Stumme, Gerd ; Hinneburg, Alexander: Tag Recommendations in Folksonomies. In: Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007) : Martin-Luther-Universität Halle-Wittenberg, 2007. - ISBN 978-3-86010-907-6, S. 13-20

Schafer, J. Ben, Frankowski, Dan, Herlocker, Jon, Sen, Shilad, Collaborative Filtering Recommender Systems, in: Brusilovsky, Peter, Kobsa, Alfred, Nejdl, Wolfgang (Hrsg.), The Adaptive Web: Methods and Strategies of Web Personalization, Bd. 4321, Berlin, Heidelberg 2007, S. 291-324.

Adomavicius, G., Tuzhilin, A., Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions, in: Knowledge and Data Engineering, IEEE Transactions on 17 6 (2005), S. 734-749.

Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T., {Evaluating collaborative filtering recommender systems}, in: ACM Transactions on Information Systems 22 1 (2004), S. 5--53.

Herlocker, Jonathan L., Konstan, Joseph A., Terveen, Loren G., Riedl, John T., Evaluating collaborative filtering recommender systems, in: ACM Trans. Inf. Syst. 22 (2004), S. 5--53.

Whitby, Andrew, Jøsang, Audun, Indulska, Jadwiga: Filtering Out Unfair Ratings in Bayesian Reputation Systems. In: , 2004

Melville, Prem, Mooney, Raymod J., Nagarajan, Ramadass: Content-boosted Collaborative Filtering for Improved Recommendations. In: Eighteenth National Conference on Artificial Intelligence. Menlo Park, CA, USA : American Association for Artificial Intelligence, 2002. - ISBN 0-262-51129-0, S. 187--192

Sarwar, Badrul, Karypis, George, Konstan, Joseph, Riedl, John: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web. New York, NY, USA : ACM, 2001. - ISBN 1-58113-348-0, S. 285--295

Sarwar, Badrul, Karypis, George, Konstan, Joseph, Riedl, John: Item-based collaborative filtering recommendation algorithms. In: WWW '01: Proceedings of the 10th International Conference on World Wide Web. New York, NY, USA : ACM, 2001. - ISBN 1-58113-348-0, S. 285--295

Herlocker, Jonathan L., Konstan, Joseph A., Riedl, John: Explaining collaborative filtering recommendations. In: CSCW '00: Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work. New York, NY, USA : ACM, 2000. - ISBN 1-58113-222-0, S. 241--250

Kautz, Henry, Selman, Bart, Shah, Mehul, Referral Web: combining social networks and collaborative filtering, in: Communications of the ACM 40 3 (1997), S. 63--65.