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CIKM
2009
Springer
14 years 2 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
WSDM
2010
ACM
259views Data Mining» more  WSDM 2010»
14 years 5 months ago
Revisiting Globally Sorted Indexes for Efficient Document Retrieval
There has been a large amount of research on efficient document retrieval in both IR and web search areas. One important technique to improve retrieval efficiency is early termina...
Fan Zhang, Shuming Shi, Hao Yan, Ji-Rong Wen
ICDE
2010
IEEE
260views Database» more  ICDE 2010»
14 years 7 months ago
Locating Mapped Resources in Web 2.0
Abstract-- Mapping mashups are emerging Web 2.0 applications in which data objects such as blogs, photos and videos from different sources are combined and marked in a map using AP...
Anthony K. H. Tung, Beng Chin Ooi, Dongxiang Zhang
MM
2006
ACM
164views Multimedia» more  MM 2006»
14 years 1 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
WECWIS
2002
IEEE
136views ECommerce» more  WECWIS 2002»
14 years 13 days ago
XML-based Advanced UDDI Search Mechanism for B2B Integration
Exploring an appropriate business application published as a Web Service in the UDDI registry is a critical issue. Search for such an application should be effective in terms of t...
Liang-Jie Zhang, Haifei Li, Henry Chang, Tian Chao