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» Elicitation and use of relevance feedback information
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MM
2009
ACM
221views Multimedia» more  MM 2009»
15 years 4 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
91
Voted
ICML
2003
IEEE
15 years 10 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan
SIGIR
1997
ACM
15 years 1 months ago
Learning Routing Queries in a Query Zone
Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit this property of word usage to improve document routing. W...
Amit Singhal, Mandar Mitra, Chris Buckley
90
Voted
MM
2009
ACM
147views Multimedia» more  MM 2009»
15 years 4 months ago
Distribution-based concept selection for concept-based video retrieval
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approaches try to find concepts that are likely to co-occur in the relevant shots fro...
Juan Cao, HongFang Jing, Chong-Wah Ngo, Yongdong Z...
ICML
1997
IEEE
15 years 10 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims