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» Learning User Clicks in Web Search
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WWW
2010
ACM
14 years 14 days ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
IUI
2010
ACM
14 years 2 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
PAMI
2012
11 years 8 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
WWW
2009
ACM
14 years 6 months ago
Click chain model in web search
Given a terabyte click log, can we build an efficient and effective click model? It is commonly believed that web search click logs are a gold mine for search business, because th...
Anitha Kannan, Chao Liu 0001, Christos Faloutsos, ...
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
14 years 7 days ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li