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» Learning to rank for information retrieval
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AIRS
2005
Springer
15 years 12 months ago
Query Expansion with the Minimum Relevance Judgments
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select goo...
Masayuki Okabe, Kyoji Umemura, Seiji Yamada
ECIR
2010
Springer
15 years 7 months ago
Explicit Search Result Diversification through Sub-queries
Queries submitted to a retrieval system are often ambiguous. In such a situation, a sensible strategy is to diversify the ranking of results to be retrieved, in the hope that users...
Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, I...
WWW
2011
ACM
15 years 1 months ago
A demo search engine for products
Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is...
Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
16 years 12 days ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
IUI
2000
ACM
15 years 10 months ago
Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
Agneta Bergström, Patricija Jaksetic, Peter N...