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» Methods for comparing rankings of search engine results
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CVPR
2007
IEEE
15 years 1 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
WWW
2010
ACM
14 years 10 months ago
Finding algorithms in scientific articles
Algorithms are an integral part of computer science literature. However, none of the current search engines offer specialized algorithm search facility. We describe a vertical sea...
Sumit Bhatia, Prasenjit Mitra, C. Lee Giles
SIGIR
2006
ACM
15 years 3 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
WWW
2007
ACM
15 years 10 months ago
Automatic search engine performance evaluation with click-through data analysis
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...
ECWEB
2010
Springer
219views ECommerce» more  ECWEB 2010»
14 years 11 months ago
Semantic Tag Cloud Generation via DBpedia
Abstract. Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents. The text-based recommendation provided by t...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...