Preference Learning: Unterschied zwischen den Versionen

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche
(→‎Table of contents (20 chapters))
Zeile 60: Zeile 60:
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F4%2F1.pdf
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F4%2F1.pdf
  
−
*  Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho: [[A Survey and Empirical Comparison of Object Ranking Methods]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 181-201. http://dx.doi.org/10.1007/978-3-642-14125-6_9
+
*  Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho: [[A Survey and Empirical Comparison of Object Ranking Methods]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 181-201. http://dx.doi.org/10.1007/978-3-642-14125-6_9 http://www.kamishima.net/archive/2009-b-pl2.pdf
  
−
*  Toshihiro Kamishima, Shotaro Akaho: [[Dimension Reduction for Object Ranking]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 203-215. http://dx.doi.org/10.1007/978-3-642-14125-6_10
+
*  Toshihiro Kamishima, Shotaro Akaho: [[Dimension Reduction for Object Ranking]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 203-215. http://dx.doi.org/10.1007/978-3-642-14125-6_10 http://www.kamishima.net/archive/2009-b-pl1.pdf
  
 
*  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg: [[Learning of Rule Ensembles for Multiple Attribute Ranking Problems]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 217-247. http://dx.doi.org/10.1007/978-3-642-14125-6_11
 
*  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg: [[Learning of Rule Ensembles for Multiple Attribute Ranking Problems]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 217-247. http://dx.doi.org/10.1007/978-3-642-14125-6_11
Zeile 71: Zeile 71:
 
*  Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins: [[Learning Lexicographic Preference Models]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 251-272. http://dx.doi.org/10.1007/978-3-642-14125-6_12
 
*  Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins: [[Learning Lexicographic Preference Models]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 251-272. http://dx.doi.org/10.1007/978-3-642-14125-6_12
  
−
*  Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini: [[Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 273-296. http://dx.doi.org/10.1007/978-3-642-14125-6_13  
+
*  Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, Bruno Zanuttini: [[Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 273-296. http://dx.doi.org/10.1007/978-3-642-14125-6_13 http://www.lamsade.dauphine.fr/~lang/papers/cklmz09.pdf
  
−
*  Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker : [[Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 297-315. http://dx.doi.org/10.1007/978-3-642-14125-6_14
+
*  Joachim Giesen, Klaus Mueller, Bilyana Taneva, Peter Zolliker : [[Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 297-315. http://dx.doi.org/10.1007/978-3-642-14125-6_14 http://cvc.cs.sunysb.edu/Publications/2011/GMTZ11/cbca.pdf
  
 
* Vicenç Torra: [[Learning Aggregation Operators for Preference Modeling]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 317-333. http://dx.doi.org/10.1007/978-3-642-14125-6_15
 
* Vicenç Torra: [[Learning Aggregation Operators for Preference Modeling]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 317-333. http://dx.doi.org/10.1007/978-3-642-14125-6_15
Zeile 82: Zeile 82:
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F6%2F1.pdf
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F6%2F1.pdf
  
−
*  Filip Radlinski, Madhu Kurup, Thorsten Joachims : [[Evaluating Search Engine Relevance with Click-Based Metrics]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 337-361. http://dx.doi.org/10.1007/978-3-642-14125-6_16
+
*  Filip Radlinski, Madhu Kurup, Thorsten Joachims : [[Evaluating Search Engine Relevance with Click-Based Metrics]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 337-361. http://dx.doi.org/10.1007/978-3-642-14125-6_16 https://github.com/tolleiv/thesis/blob/master/Research/Papers/__Radlinski11%20-%20Evaluating%20Search%20Engine%20Relevance%20with%20Click-Based%20Metrics.pdf
  
−
* Robert Arens: [[Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 363-383. http://dx.doi.org/10.1007/978-3-642-14125-6_17
+
* Robert Arens: [[Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 363-383. http://dx.doi.org/10.1007/978-3-642-14125-6_17 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4482 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.153.4482&rep=rep1&type=pdf
  
  
Zeile 91: Zeile 91:
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F7%2F1.pdf
 
* Front Matter: http://link.springer.com/content/pdf/bfm%3A978-3-642-14125-6%2F7%2F1.pdf
  
−
* Marco de Gemmis , Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro: [[Learning Preference Models in Recommender Systems]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 387-407. http://dx.doi.org/10.1007/978-3-642-14125-6_18
+
* Marco de Gemmis , Leo Iaquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Giovanni Semeraro: [[Learning Preference Models in Recommender Systems]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 387-407. http://dx.doi.org/10.1007/978-3-642-14125-6_18 http://www.academia.edu/download/30470669/preference_learning.pdf
  
−
* Alexandros Karatzoglou, Markus Weimer: [[Collaborative Preference Learning]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 409-427. http://dx.doi.org/10.1007/978-3-642-14125-6_19
+
* Alexandros Karatzoglou, Markus Weimer: [[Collaborative Preference Learning]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 409-427. http://dx.doi.org/10.1007/978-3-642-14125-6_19 http://www.researchgate.net/publication/241276611
  
−
*  Alejandro Bellogín, Iván Cantador, Pablo Castells, Álvaro Ortigosa: [[Discerning Relevant Model Features in a Content-based Collaborative Recommender System]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 429-455. http://dx.doi.org/10.1007/978-3-642-14125-6_20
+
*  Alejandro Bellogín, Iván Cantador, Pablo Castells, Álvaro Ortigosa: [[Discerning Relevant Model Features in a Content-based Collaborative Recommender System]]. In: Fürnkranz, J. and Hüllermeier, E.: [[Preference Learning]], 2011, 429-455. http://dx.doi.org/10.1007/978-3-642-14125-6_20 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.4032 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.157.4032&rep=rep1&type=pdf
  
  

Version vom 29. November 2015, 18:05 Uhr

Reference

Johannes Fürnkranz, Eyke Hüllermeier (eds.): Preference Learning. Springer Berlin Heidelberg, 2011. ISBN: 978-3-642-14124-9 (Print) 978-3-642-14125-6 (Online)

DOI

http://dx.doi.org/10.1007/978-3-642-14125-6

Abstract

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in recent years. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. Preference learning is concerned with the acquisition of preference models from data – it involves learning from observations that reveal information about the preferences of an individual or a class of individuals, and building models that generalize beyond such training data. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The remainder of the book is organized into parts that follow the developed framework, complementing survey articles with in-depth treatises of current research topics in this area. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.

Extended Abstract

Reviews

"The book looks at three major types of preference learning: label ranking, instance ranking, and object ranking. … chapters contain case studies and actual experiments to illustrate the claims made within. … this is a useful book in an emerging and important area, and hence would be of interest to machine learning researchers. The book is quite readable to that audience, despite a heavy emphasis on formal treatment." M. Sasikumar, ACM Computing Reviews, September, 2011


Bibtex

@book{
year={2011},
isbn={978-3-642-14124-9 (Print), 978-3-642-14125-6 (Online)},
booktitle={Preference Learning},
editor={Fürnkranz, Johannes and Hüllermeier, Eyke},
doi={10.1007/978-3-642-14125-6},
url={http://dx.doi.org/10.1007/978-3-642-14125-6, http://de.evo-art.org/index.php?title=Preference_Learning },
publisher={Springer Berlin Heidelberg},
language={English}
}

Table of contents (20 chapters)


Label Ranking


Instance Ranking


Object Ranking


Preferences in Multi-Attribute Domains


Preferences in Information Retrieval


Preferences in Recommender Systems


Links

Full Text

intern file

Sonstige Links

http://link.springer.com/book/10.1007/978-3-642-14125-6

http://www.preference-learning.org

http://www.ke.tu-darmstadt.de/events/PL-10/tutorial/PL-Tutorial-5.pdf

Abgerufen von „http://de.evo-art.org/index.php?title=Preference_Learning&oldid=32403“