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109
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IJCAI
2003
15 years 2 months ago
Predicting Web Information Content
In this paper, we propose a novel method to infer the web user’s Information Content (IC), which is the information that the user must examine to complete her task. In particula...
Tingshao Zhu, Russell Greiner, Gerald Häubl, ...
215
Voted
AACC
2004
Springer
15 years 6 months ago
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms
Searching on the Internet has grown in importance over the last few years, as huge amount of information is invariably accumulated on the Web. The problem involves locating the des...
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Th...
AIRWEB
2009
Springer
15 years 7 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
101
Voted
CIKM
2006
Springer
15 years 4 months ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan
SEMWEB
2009
Springer
15 years 7 months ago
Policy-Aware Content Reuse on the Web
The Web allows users to share their work very effectively leading to the rapid re-use and remixing of content on the Web including text, images, and videos. Scientific research d...
Oshani Seneviratne, Lalana Kagal, Tim Berners-Lee