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» Capturing User Intent for Information Retrieval
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WWW
2007
ACM
14 years 8 months ago
Integrating web directories by learning their structures
Documents in the Web are often organized using category trees by information providers (e.g. CNN, BBC) or search engines (e.g. Google, Yahoo!). Such category trees are commonly kn...
Christopher C. Yang, Jianfeng Lin
CIKM
2010
Springer
13 years 6 months ago
Ranking under temporal constraints
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
Lidan Wang, Donald Metzler, Jimmy Lin
HT
2003
ACM
14 years 24 days ago
Publishing evolving metadocuments on the web
Metadocuments are documents that consist primarily of references to other documents, and elements within them. Our active browsing web visualization tool generates an evolving ser...
Andruid Kerne, Madhur Khandelwal, Vikram Sundaram
WWW
2006
ACM
14 years 8 months ago
Retroactive answering of search queries
Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service...
Beverly Yang, Glen Jeh
WWW
2010
ACM
14 years 2 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White