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» Learning to cluster web search results
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WWW
2006
ACM
14 years 8 months ago
Detecting online commercial intention (OCI)
Understanding goals and preferences behind a user's online activities can greatly help information providers, such as search engine and E-Commerce web sites, to personalize c...
Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji...
AIRWEB
2009
Springer
14 years 2 months ago
Looking into the past to better classify web spam
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. However,...
Na Dai, Brian D. Davison, Xiaoguang Qi
NIPS
2008
13 years 9 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
AINA
2005
IEEE
14 years 1 months ago
iHITS: Extending HITS for Personal Interests Profiling
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...
Ziming Zhuang
SIGIR
2010
ACM
13 years 8 months ago
Scalability of findability: effective and efficient IR operations in large information networks
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
Weimao Ke, Javed Mostafa