IPM
2006
13 years 11 months ago
2006
Information seeking is traditionally conducted in environments where search results are represented at the user interface by a minimal amount of meta-information such as titles an...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
ICANN
2005
Springer
14 years 5 months ago
2005
Springer
We explore the use of eye movements as a source of implicit relevance feedback information. We construct a controlled information retrieval experiment where the relevance of each t...
SIGIR
2005
ACM
14 years 5 months ago
2005
ACM
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
SIGIR
2005
ACM
14 years 5 months ago
2005
ACM
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
ICMCS
2006
IEEE
14 years 5 months ago
2006
IEEE
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
HICSS
2006
IEEE
14 years 5 months ago
2006
IEEE
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
CONTEXT
2007
Springer
14 years 5 months ago
2007
Springer
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...