499 search results - page 2 / 100 » Search Engines that Learn from Implicit Feedback |
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
Query suggestion has been an effective approach to help users narrow down to the information they need. However, most of existing studies focused on only popular/head queries. Si...
ICMI
2009
Springer
14 years 1 months ago
2009
Springer
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The system computes on-line predictions of relevance of images based on implicit feedback, and wh...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
CORR
2006
Springer
13 years 7 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...