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Preference Learning 2010

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Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning. Springer 2010, ISBN 978-3-642-14124-9

Part 1 / Label Ranking

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Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning: An Introduction. 1-17

Part 2 / Instance Ranking

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Fabio Aiolli, Alessandro Sperduti:
A Preference Optimization Based Unifying Framework for Supervised Learning Problems. 19-42

Part 1 / Label Ranking

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Shankar Vembu, Thomas Gärtner:
Label Ranking Algorithms: A Survey. 45-64
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Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning and Ranking by Pairwise Comparison. 65-82
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Philip L. H. Yu, Wai Ming Wan, Paul H. Lee:
Decision Tree Modeling for Ranking Data. 83-106
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Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes:
Co-Regularized Least-Squares for Label Ranking. 107-123

Part 2 / Instance Ranking

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Willem Waegeman, Bernard De Baets:
A Survey on ROC-based Ordinal Regression. 127-154
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Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, Brent Han:
Ranking Cases with Classification Rules. 155-177

Part 3 / Object Ranking

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Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
A Survey and Empirical Comparison of Object Ranking Methods. 181-201
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Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Object Ranking. 203-215
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Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
Learning of Rule Ensembles for Multiple Attribute Ranking Problems. 217-247

Part 4 / Preferences in Multi-Attribute Domains

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Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins:
Learning Lexicographic Preference Models. 251-272
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Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini:
Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. 273-296
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Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker:
Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. 297-315
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Vicenç Torra:
Learning Aggregation Operators for Preference Modeling. 317-333

Part 5 / Preferences in Information Retrieval

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Filip Radlinski, Madhu Kurup, Thorsten Joachims:
Evaluating Search Engine Relevance with Click-Based Metrics. 337-361
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Robert Arens:
Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain. 363-383

Part 6 / Preferences in Recommender Systems

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Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Learning Preference Models in Recommender Systems. 387-407
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Alexandros Karatzoglou, Markus Weimer:
Collaborative Preference Learning. 409-427
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Alejandro Bellogín, Iván Cantador, Pablo Castells, Alvaro Ortigosa:
Discerning Relevant Model Features in a Content-based Collaborative Recommender System. 429-455

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