551 search results - page 21 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
172
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SIGIR
2009
ACM
16 years 18 days ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
145
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IR
2008
15 years 6 months ago
2008
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
189
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SIGIR
2009
ACM
2009
ACM
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
16 years 18 days ago
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
183
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CIKM
2011
Springer
14 years 6 months ago
2011
Springer
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
170
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MM
2006
ACM
16 years 1 days ago
2006
ACM
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...