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» Interactive Object-Based Retrieval Using Relevance Feedback
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SIGIR
2005
ACM
14 years 2 months ago
Accurately interpreting clickthrough data as implicit feedback
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...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...
SIGIR
2008
ACM
13 years 9 months ago
Query expansion using gaze-based feedback on the subdocument level
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
Georg Buscher, Andreas Dengel, Ludger van Elst
TREC
2004
13 years 10 months ago
UIUC in HARD 2004--Passage Retrieval Using HMMs
UIUC participated in the HARD track in TREC 2004 and focused on the evaluation of a new method for identifying variable-length passages using HMMs. Most existing approaches to pas...
Jing Jiang, ChengXiang Zhai
SIGIR
2010
ACM
13 years 4 months ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 3 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang