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VIP
2003
15 years 3 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
IR
2000
15 years 1 months ago
Incorporating Aspects of Information Use into Relevance Feedback
In this paper we look at some of the problems in interacting with best-match retrieval systems. In particular, we examine the areas of interaction, some investigations of the compl...
Ian Ruthven
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
15 years 8 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
MM
2006
ACM
151views Multimedia» more  MM 2006»
15 years 7 months ago
News video search with fuzzy event clustering using high-level features
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...
Shi-Yong Neo, Yantao Zheng, Tat-Seng Chua, Qi Tian
SIGIR
2009
ACM
15 years 8 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