266 search results - page 19 / 54 » Parallel learning to rank for information retrieval |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
MM
2006
ACM
14 years 1 months 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 ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...