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» Search Engines that Learn from Implicit Feedback
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AI
2001
Springer
15 years 3 months ago
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Bob Price, Craig Boutilier
WWW
2010
ACM
15 years 6 months ago
Live web search experiments for the rest of us
There are significant barriers to academic research into user Web search preferences. Academic researchers are unable to manipulate the results shown by a major search engine to ...
Timothy Jones, David Hawking, Ramesh S. Sankaranar...
WWW
2002
ACM
15 years 12 months ago
OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
An important trend in Web information processing is the support of multimedia retrieval. However, the most prevailing paradigm for multimedia retrieval, content-based retrieval (C...
Jun Yang 0003, Qing Li, Yueting Zhuang
ICIP
2001
IEEE
16 years 24 days ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
WWW
2003
ACM
15 years 4 months ago
User Access Pattern Enhanced Small Web Search
Current search engines generally employ link analysis techniques to web-page re-ranking. However, the same techniques are problematic in small webs, such as websites or intranet w...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...