852 search results - page 1 / 171 » Comparing relevance feedback algorithms for web search |
WWW
2005
ACM
14 years 5 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...
SIGIR
2006
ACM
13 years 10 months ago
2006
ACM
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
SIGIR
2006
ACM
13 years 10 months ago
2006
ACM
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
WWW
2003
ACM
14 years 5 months ago
2003
ACM
In contrast to traditional document retrieval, a web page as a whole is not a good information unit to search because it often contains multiple topics and a lot of irrelevant inf...
SAC
2006
ACM
13 years 10 months ago
2006
ACM
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...