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» Linguistic Knowledge can Improve Information Retrieval
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WWW
2007
ACM
16 years 7 months ago
MedSearch: a specialized search engine for medical information
People are thirsty for medical information. Existing Web search engines often cannot handle medical search well because they do not consider its special requirements. Often a medi...
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
SIGIR
2006
ACM
16 years 17 days ago
User modeling for full-text federated search in peer-to-peer networks
User modeling for information retrieval has mostly been studied to improve the effectiveness of information access in centralized repositories. In this paper we explore user model...
Jie Lu, James P. Callan
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 11 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
CHI
2003
ACM
16 years 7 months ago
Strategy hubs: next-generation domain portals with search procedures
Current search tools on the Web, such as general-purpose search engines (e.g. Google) and domain-specific portals (e.g. MEDLINEplus), do not provide search procedures that guide u...
Suresh K. Bhavnani, Christopher K. Bichakjian, Tim...
ICTIR
2009
Springer
16 years 1 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...