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» Linguistic Knowledge can Improve Information Retrieval
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WWW
2010
ACM
16 years 1 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
HT
2006
ACM
16 years 17 days ago
Evaluation of crawling policies for a web-repository crawler
We have developed a web-repository crawler that is used for reconstructing websites when backups are unavailable. Our crawler retrieves web resources from the Internet Archive, Go...
Frank McCown, Michael L. Nelson
HT
2010
ACM
15 years 8 months ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...
AND
2010
15 years 4 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
WWW
2009
ACM
16 years 7 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...