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CIKM
2008
Springer
15 years 8 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
CIKM
2011
Springer
14 years 5 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
WWW
2005
ACM
16 years 6 months ago
Analysis of topic dynamics in web search
We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions ...
Xuehua Shen, Susan T. Dumais, Eric Horvitz
SIGIR
2008
ACM
15 years 5 months ago
How medical expertise influences web search interaction
Domain expertise can have an important influence on how people search. In this poster we present findings from a log-based study into how medical domain experts search the Web for...
Ryen W. White, Susan T. Dumais, Jaime Teevan
EMNLP
2010
15 years 3 months ago
Context Comparison of Bursty Events in Web Search and Online Media
In this paper, we conducted a systematic comparative analysis of language in different contexts of bursty topics, including web search, news media, blogging, and social bookmarkin...
Yunliang Jiang, Cindy Xide Lin, Qiaozhu Mei