Balancing exploration and exploitation in listwise and pairwise online learning to rank for informat...
Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval
About this item
Full title
Author / Creator
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
More information
Scope and Contents
Contents
As retrieval systems become more complex,
learning to rank
approaches are being developed to automatically tune their parameters. Using
online
learning to rank, retrieval systems can learn directly from implicit feedback inferred from user interactions. In such an online setting, algorithms must obtain feedback for effective learning wh...
Alternative Titles
Full title
Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_1283115868
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1283115868
Other Identifiers
ISSN
1386-4564
E-ISSN
1573-7659
DOI
10.1007/s10791-012-9197-9
