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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
2005
Springer
15 years 12 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
SIGMOD
2005
ACM
126views Database» more  SIGMOD 2005»
15 years 12 months ago
Page Quality: In Search of an Unbiased Web Ranking
In a number of recent studies [4, 8] researchers have found that because search engines repeatedly return currently popular pages at the top of search results, popular pages tend ...
Junghoo Cho, Sourashis Roy, Robert Adams
SIGIR
2010
ACM
15 years 10 months ago
Context-aware ranking in web search
The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused ...
Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, En...
SIGIR
2010
ACM
15 years 10 months ago
The good, the bad, and the random: an eye-tracking study of ad quality in web search
We investigate how people interact with Web search engine result pages using eye-tracking. While previous research has focused on the visual attention devoted to the 10 organic se...
Georg Buscher, Susan T. Dumais, Edward Cutrell