Publications

Prem Melville, Raymod J. Mooney, und Ramadass Nagarajan. Content-boosted Collaborative Filtering for Improved Recommendations. Eighteenth National Conference on Artificial Intelligence, 187--192, American Association for Artificial Intelligence, Menlo Park, CA, USA, 2002. [PUMA: collaborative content filtering hybrid recommender] URL

Badrul Sarwar, George Karypis, Joseph Konstan, und John Riedl. Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th international conference on World Wide Web, 285--295, ACM, New York, NY, USA, 2001. [PUMA: cf collaborative filtering item recommender] URL

Denis Parra, und Peter Brusilovsky. Evaluation of Collaborative Filtering Algorithms for Recommending Articles on CiteULike. Proceedings of the Workshop on Web 3.0: Merging Semantic Web and Social Web, (467)Juni 2009. [PUMA: algorithms citedBy:doerfel2012leveraging collaborative evaluation filtering] URL

Yehuda Koren. Collaborative filtering with temporal dynamics. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 447--456, ACM, New York, NY, USA, 2009. [PUMA: cf collaborative dynamics filtering netflix stair temporal] URL

Henry Kautz, Bart Selman, und Mehul Shah. Referral Web: combining social networks and collaborative filtering. Communications of the ACM, (40)3:63--65, ACM, New York, NY, USA, März 1997. [PUMA: collaborative filtering hybrid network recommender social stair] URL

Jonathan Gemmell, Thomas R. Schimoler, Laura Christiansen, und Bamshad Mobasher. Improving Folkrank With Item-Based Collaborative Filtering. In Dietmar Jannach, Werner Geyer, Jill Freyne, Sarabjot Singh Anand, Casey Dugan, Bamshad Mobasher, und Alfred Kobsa (Hrsg.), ACM RecSys'09 Workshop on Recommender Systems and the Social Web, (532):17--24, Oktober 2009. [PUMA: bookmarking collaborative filtering folkrank recommender social tagging] URL

Denis Parra, und Peter Brusilovsky. Evaluation of Collaborative Filtering Algorithms for Recommending Articles on CiteULike. Proceedings of the Workshop on Web 3.0: Merging Semantic Web and Social Web, (467)Juni 2009. [PUMA: collaborative filtering folksonomy item recommender social tagging] URL

Gábor Takács, István Pilászy, Bottyán Németh, und Domonkos Tikk. Scalable Collaborative Filtering Approaches for Large Recommender Systems. Journal of Machine Learning Research, (10):623--656, JMLR.org, Juni 2009. [PUMA: collaborative filtering recommender] URL

Robert Jaeschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, und Gerd Stumme. Tag Recommendations in Folksonomies. In Alexander Hinneburg (Hrsg.), Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), 13-20, Martin-Luther-Universität Halle-Wittenberg, September 2007. [PUMA: 2007 bookmarking collaborative filtering folksonomy itegpub l3s myown recommender social] URL

I. Blohm, F. Ott, U. Bretschneider, M. Huber, M. Rieger, F. Glatz, M. Koch, J. M. Leimeister, und H. Krcmar. Extending Open Innovation Platforms into the real world - Using Large Displays in Public Spaces. 10. European Academy of Management Conference (EURAM) 2010, 10Rome, Italy, 2010. [PUMA: IdeaMirror collaborative community computing evaluation filtering idea innovation itegpub myown open pub_jml pub_ubr support ubiquitous] URL

Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, und John T. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., (22):5--53, ACM, New York, NY, USA, Januar 2004. [PUMA: collaEvaluating collaborative eval evaluation filtering recommend recommendation recommender systems] URL

Andrew Whitby, Audun Jøsang, und Jadwiga Indulska. Filtering Out Unfair Ratings in Bayesian Reputation Systems. 2004. [PUMA: Filtering bayes info20 rating reputation review unfair]

I. Blohm, F. Ott, U. Bretschneider, M. Huber, M. Rieger, F. Glatz, M. Koch, J. M. Leimeister, und H. Krcmar. Extending Open Innovation Platforms into the real world - Using Large Displays in Public Spaces. 10. European Academy of Management Conference (EURAM) 2010, 10Rome, Italy, 2010. [PUMA: IdeaMirror collaborative community computing dempub evaluation filtering idea innovation itegpub open pub_jml pub_ubr support ubiquitous] URL

J.L. Herlocker, J.A. Konstan, L.G. Terveen, und J.T. Riedl. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, (22)1:5--53, 2004. [PUMA: collaborative evaluation filtering recommender]

G. Adomavicius, und A. Tuzhilin. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, (17)6:734-749, Juni 2005. [PUMA: collaborative content-based contextual filtering information survey]

Robert Jaeschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, und Gerd Stumme. Tag Recommendations in Folksonomies. In Alexander Hinneburg (Hrsg.), Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007), 13-20, Martin-Luther-Universität Halle-Wittenberg, September 2007. [PUMA: 2007 bookmarking collaborative filtering folksonomy itegpub l3s myown recommender social] URL

Huizhi Liang, Yue Xu, Yuefeng Li, und Richi Nayak. Tag Based Collaborative Filtering for Recommender Systems. In Peng Wen, Yuefeng Li, Lech Polkowski, Yiyu Yao, Shusaku Tsumoto, und Guoyin Wang (Hrsg.), Rough Sets and Knowledge Technology, (5589):666--673, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009. [PUMA: collaborative filtering recommender tagging taggingsurvey toread] URL

Jonathan L. Herlocker, Joseph A. Konstan, und John Riedl. Explaining collaborative filtering recommendations. CSCW '00: Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work, 241--250, ACM, New York, NY, USA, 2000. [PUMA: cf collaborative explaining filtering recommender] URL

Badrul Sarwar, George Karypis, Joseph Konstan, und John Riedl. Item-based collaborative filtering recommendation algorithms. WWW '01: Proceedings of the 10th International Conference on World Wide Web, 285--295, ACM, New York, NY, USA, 2001. [PUMA: collaborative filtering recommender stair tag] URL

J. Ben Schafer, Dan Frankowski, Jon Herlocker, und Shilad Sen. Collaborative Filtering Recommender Systems. In Peter Brusilovsky, Alfred Kobsa, und Wolfgang Nejdl (Hrsg.), The Adaptive Web: Methods and Strategies of Web Personalization, (4321):291-324, Springer, Berlin, Heidelberg, 2007. [PUMA: cf collaborative filtering recommender webzu] URL