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» Using Reinforcement Learning to Spider the Web Efficiently
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ICWL
2005
Springer
15 years 3 months ago
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Jin Du, Qinghua Zheng, Haifei Li, Wenbin Yuan
109
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SIGIR
2008
ACM
14 years 9 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
IADIS
2003
14 years 11 months ago
Adaptive Web Service for QOS Improvement
In this paper we investigate how “self-awareness'', through on-line self-monitoring and measurement, coupled with intelligent adaptive behaviour in response to observe...
Erol Gelenbe, Arturo Núñez
MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 3 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Web image mining using concept sensitive Markov stationary features
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma