354 search results - page 22 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
CIKM
2009
Springer
15 years 2 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
TREC
2003
14 years 11 months ago
2003
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
It is now widely recognized that user interactions with search results can provide substantial relevance information on the documents displayed in the search results. In this pape...