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» Relevance Feedback Models for Recommendation
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CONTEXT
2007
Springer
14 years 2 months ago
A Qualitative Look at Eye-tracking for Implicit Relevance Feedback
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...
Kirsten Kirkegaard Moe, Jeanette M. Jensen, Birger...
TREC
2007
13 years 9 months ago
Entity-Based Relevance Feedback for Genomic List Answer Retrieval
In this paper we present a system which uses ontological resources and a gene name variation generation tool to expand concepts in the original query. The novelty of our approach ...
Nicola Stokes, Yi Li, Lawrence Cavedon, Eric Huang...
SIGIR
1999
ACM
14 years 27 days ago
Relevance Feedback Retrieval of Time Series Data
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
Eamonn J. Keogh, Michael J. Pazzani
ACL
2010
13 years 6 months ago
Multilingual Pseudo-Relevance Feedback: Performance Study of Assisting Languages
In a previous work of ours Chinnakotla et al. (2010) we introduced a novel framework for Pseudo-Relevance Feedback (PRF) called MultiPRF. Given a query in one language called Sour...
Manoj Kumar Chinnakotla, Karthik Raman, Pushpak Bh...
CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
14 years 9 days ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes