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» Aggregating User-Centered Rankings to Improve Web Search
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WWW
2008
ACM
15 years 10 months ago
Mining for personal name aliases on the web
We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mi...
SIGIR
2009
ACM
15 years 4 months ago
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Social tagging is becoming increasingly popular in many Web 2.0 applications where users can annotate resources (e.g. Web pages) with arbitrary keywords (i.e. tags). A tag recomme...
Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can ...
IUI
2003
ACM
15 years 2 months ago
A zero-input interface for leveraging group experience in web browsing
The experience of a trusted group of colleagues can help users improve the quality and focus of their browsing and searching activities. How could a system provide such help, when...
Taly Sharon, Henry Lieberman, Ted Selker
WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
AIRWEB
2009
Springer
15 years 4 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