136
Voted
SIGIR
2005
ACM
15 years 12 months ago
2005
ACM
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
171
Voted
SIGIR
2006
ACM
16 years 10 days 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 ...
198
Voted
CIKM
2007
Springer
16 years 16 days ago
2007
Springer
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
205
Voted
ICDM
2008
IEEE
16 years 25 days ago
2008
IEEE
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
166
Voted
SIGIR
2009
ACM
16 years 26 days ago
2009
ACM
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted ...
159
Voted
ICMI
2009
Springer
16 years 28 days 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...
178
Voted
ETRA
2010
ACM
16 years 1 months ago
2010
ACM
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
177
Voted
WWW
2007
ACM
16 years 7 months ago
2007
ACM
The availability of map interfaces and location-aware devices makes a growing amount of unstructured, geo-referenced information available on the Web. In particular, over twelve m...