29 search results - page 2 / 6 » Accurately interpreting clickthrough data as implicit feedba... |
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
KDD
2009
ACM
14 years 1 days ago
2009
ACM
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
SIGIR
2004
ACM
14 years 27 days ago
2004
ACM
We investigate how users interact with the results page of a WWW search engine using eye-tracking. The goal is to gain into how users browse the presented abstracts and how they s...