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» Improving search relevance for implicitly temporal queries
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CIKM
2010
Springer
13 years 6 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
SIGIR
2005
ACM
14 years 29 days ago
Detecting dominant locations from search queries
Accurately and effectively detecting the locations where search queries are truly about has huge potential impact on increasing search relevance. In this paper, we define a search...
Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yans...
WISE
2005
Springer
14 years 29 days ago
Temporal Ranking of Search Engine Results
Existing search engines contain the picture of the Web from the past and their ranking algorithms are based on data crawled some time ago. However, a user requires not only relevan...
Adam Jatowt, Yukiko Kawai, Katsumi Tanaka
EDBTW
2004
Springer
14 years 24 days ago
Relevance Feedback in XML Retrieval
Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be...
Hanglin Pan
EDBT
2006
ACM
172views Database» more  EDBT 2006»
14 years 7 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu