Learning to Rank with Selection Bias in Personal Search
SIGIR, pp. 115-124, 2016.
Click-through data has proven to be a critical resource for improving search ranking quality. Though a large amount of click data can be easily collected by search engines, various biases make it difficult to fully leverage this type of data. In the past, many click models have been proposed and successfully used to estimate the relevance...More
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