91 search results - page 2 / 19 » Active exploration for learning rankings from clickthrough d... |
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
WSDM
2010
ACM
14 years 1 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
CIKM
2008
Springer
13 years 6 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...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
The paper proposes identifying relevant information sources from the history of combined searching and browsing behavior of many Web users. While it has been previously shown that...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...