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» Learning Semantic Categories from Clickthrough Logs
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CIKM
2008
Springer
15 years 1 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...
WWW
2010
ACM
15 years 6 months ago
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data
Leveraging clickthrough data has become a popular approach for evaluating and optimizing information retrieval systems. Although data is plentiful, one must take care when interpr...
Yisong Yue, Rajan Patel, Hein Roehrig
CIKM
2008
Springer
15 years 1 months ago
Query suggestion using hitting time
Generating alternative queries, also known as query suggestion, has long been proved useful to help a user explore and express his information need. In many scenarios, such sugges...
Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church
WWW
2007
ACM
16 years 8 days ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
ASPLOS
2010
ACM
15 years 6 months ago
SherLog: error diagnosis by connecting clues from run-time logs
Computer systems often fail due to many factors such as software bugs or administrator errors. Diagnosing such production run failures is an important but challenging task since i...
Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuan...