208 search results - page 3 / 42 » On evaluating web search with very few relevant documents |
CAISE
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In spite of the wide use of the Internet, it is difficult to develop desirable web documents evaluation that reflects users’ needs. Many automatic ranking systems have ...
NIPS
2007
13 years 7 months ago
2007
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
CN
1999
13 years 5 months ago
1999
The rapid growth of the World-Wide Web poses unprecedented scaling challenges for general-purpose crawlers and search engines. In this paper we describe a new hypertext resource d...
WWW
2005
ACM
14 years 6 months ago
2005
ACM
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
WWW
2004
ACM
14 years 6 months ago
2004
ACM
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...