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SIGIR
2005
ACM
15 years 3 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 12 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
GIR
2006
ACM
15 years 3 months ago
Indexing implicit locations for geographical information retrieval
Local search has become a hot topic recently in information retrieval research area. How to retrieve geographical information correctly and efficiently is a key challenge to locat...
Zhisheng Li, Chong Wang 0002, Xing Xie, Xufa Wang,...
SIGIR
2004
ACM
15 years 2 months ago
Display time as implicit feedback: understanding task effects
Recent research has had some success using the length of time a user displays a document in their web browser as implicit feedback for document preference. However, most studies h...
Diane Kelly, Nicholas J. Belkin
SIGIR
2009
ACM
15 years 4 months ago
Segment-level display time as implicit feedback: a comparison to eye tracking
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 ...
Georg Buscher, Ludger van Elst, Andreas Dengel