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Preference structure, inference and set-oriented retrieval

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SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 211 - 218

https://doi.org/10.1145/122860.122881

Published: 01 September 1991 Publication History

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Cited By

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Huang J(2012)Modeling Recommender Systems from Preference and Set-Oriented PerspectivesInformation Engineering and Applications10.1007/978-1-4471-2386-6_140(1068-1073)Online publication date: 2012
https://doi.org/10.1007/978-1-4471-2386-6_140
Dang EWu HLuk RWong K(2009)Building a framework for the probability ranking principle by a family of expected weighted rankACM Transactions on Information Systems10.1145/1629096.162909827:4(1-37)Online publication date: 30-Nov-2009
https://dl.acm.org/doi/10.1145/1629096.1629098
Wu HLuk RWong KKwok K(2008)Interpreting TF-IDF term weights as making relevance decisionsACM Transactions on Information Systems10.1145/1361684.136168626:3(1-37)Online publication date: 20-Jun-2008
https://dl.acm.org/doi/10.1145/1361684.1361686
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Index Terms

Preference structure, inference and set-oriented retrieval
1. Information systems
  1. Information retrieval

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ECAI'14: Proceedings of the Twenty-first European Conference on Artificial Intelligence

With personalisation becoming more prevalent, it can often be useful to be able to infer additional preferences from input user preferences. Preference inference techniques assume a set of possible user preference models, and derive inferences that hold ...

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SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval

September 1991

359 pages

ISBN:0897914481

DOI:10.1145/122860

Chairman:
Edward Fox
VPI & State Univ., Blackburg, VA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 1991

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German Comp Soc
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BCS-IRSG
INRIA

SIGIR 91: 14th International ACM/SIGIR Conference on Research & Development in Information Retrieval

October 13 - 16, 1991

Illinois, Chicago, USA

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Cited By

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Huang J(2012)Modeling Recommender Systems from Preference and Set-Oriented PerspectivesInformation Engineering and Applications10.1007/978-1-4471-2386-6_140(1068-1073)Online publication date: 2012
https://doi.org/10.1007/978-1-4471-2386-6_140
Dang EWu HLuk RWong K(2009)Building a framework for the probability ranking principle by a family of expected weighted rankACM Transactions on Information Systems10.1145/1629096.162909827:4(1-37)Online publication date: 30-Nov-2009
https://dl.acm.org/doi/10.1145/1629096.1629098
Wu HLuk RWong KKwok K(2008)Interpreting TF-IDF term weights as making relevance decisionsACM Transactions on Information Systems10.1145/1361684.136168626:3(1-37)Online publication date: 20-Jun-2008
https://dl.acm.org/doi/10.1145/1361684.1361686
Wu HLuk RWong KKraaij Wde Vries AClarke CFuhr NKando N(2007)Probability ranking principle via optimal expected rankProceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1277741.1277872(713-714)Online publication date: 23-Jul-2007
https://dl.acm.org/doi/10.1145/1277741.1277872
Wu HLuk RWong KKwok K(2007)A retrospective study of a hybrid document-context based retrieval modelInformation Processing and Management: an International Journal10.1016/j.ipm.2006.10.00943:5(1308-1331)Online publication date: 1-Sep-2007
https://dl.acm.org/doi/10.1016/j.ipm.2006.10.009

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