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35
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A user browsing model to predict search engine click data from past observations
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568
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Optimizing Search Engines using Clickthrough Data
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64
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Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search
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- 2007
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137
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Position auctions
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- 2007
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242
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Internet Advertising and the Generalized Second Price Auction: Selling Billions of Dollars Worth of Keywords
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165
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Improving web search ranking by incorporating user behavior information
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68
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Predicting clicks: Estimating the click-through rate for new ads
– Matthew Richardson
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211
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Accurately interpreting clickthrough data as implicit feedback
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- 2005
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25
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Evaluating search engines by modeling the relationship between relevance and clicks
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252
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Learning to rank using gradient descent
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31
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How Does Clickthrough Data Reflect Retrieval Quality?
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36
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A dynamic bayesian network click model for web search ranking
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- 2009
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235
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Analysis of a very large web search engine query log
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36
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Active exploration for learning rankings from clickthrough data
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556
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Multipart pricing of public goods
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441
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Incentives in Teams
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98
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Learning user interaction models for predicting web search result preferences
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119
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Query Chains: Learning to Rank from Implicit Feedback
– Filip Radlinski, Thorsten Joachims
- 2005
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173
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Agglomerative Clustering of a Search Engine Query Log
– Doug Beeferman, Adam Berger
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