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ORCIDPreference Learning 2010
- Johannes Fürnkranz
, Eyke Hüllermeier:
Preference Learning. Springer 2010, ISBN 978-3-642-14124-9
Part 1 / Label Ranking
- Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning: An Introduction. 1-17
Part 2 / Instance Ranking
- Fabio Aiolli, Alessandro Sperduti:
A Preference Optimization Based Unifying Framework for Supervised Learning Problems. 19-42
Part 1 / Label Ranking
- Shankar Vembu, Thomas Gärtner:
Label Ranking Algorithms: A Survey. 45-64 - Johannes Fürnkranz, Eyke Hüllermeier:
Preference Learning and Ranking by Pairwise Comparison. 65-82 - Philip L. H. Yu, Wai Ming Wan, Paul H. Lee:
Decision Tree Modeling for Ranking Data. 83-106 - Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes:
Co-Regularized Least-Squares for Label Ranking. 107-123
Part 2 / Instance Ranking
- Willem Waegeman, Bernard De Baets:
A Survey on ROC-based Ordinal Regression. 127-154 - Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, Brent Han:
Ranking Cases with Classification Rules. 155-177
Part 3 / Object Ranking
- Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
A Survey and Empirical Comparison of Object Ranking Methods. 181-201 - Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Object Ranking. 203-215 - 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
- Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins:
Learning Lexicographic Preference Models. 251-272 - Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini:
Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. 273-296 - Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker:
Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. 297-315 - Vicenç Torra:
Learning Aggregation Operators for Preference Modeling. 317-333
Part 5 / Preferences in Information Retrieval
- Filip Radlinski, Madhu Kurup, Thorsten Joachims:
Evaluating Search Engine Relevance with Click-Based Metrics. 337-361 - 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
- Marco de Gemmis, Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro:
Learning Preference Models in Recommender Systems. 387-407 - Alexandros Karatzoglou, Markus Weimer:
Collaborative Preference Learning. 409-427 - 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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