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- research-articleFebruary 2008
An experimental comparison of click position-bias models
WSDM '08: Proceedings of the 2008 International Conference on Web Search and Data MiningPages 87–94https://doi.org/10.1145/1341531.1341545Search engine click logs provide an invaluable source of relevance information, but this information is biased. A key source of bias is presentation order: the probability of click is influenced by a document's position in the results page. This paper ...
- research-articleFebruary 2008
Fast learning of document ranking functions with the committee perceptron
WSDM '08: Proceedings of the 2008 International Conference on Web Search and Data MiningPages 55–64https://doi.org/10.1145/1341531.1341542This paper presents a new variant of the perceptron algorithm using selective committee averaging (or voting). We apply this agorithm to the problem of learning ranking functions for document retrieval, known as the "Learning to Rank" problem. Most ...
- research-articleFebruary 2008
Disorder inequality: a combinatorial approach to nearest neighbor search
WSDM '08: Proceedings of the 2008 International Conference on Web Search and Data MiningPages 25–32https://doi.org/10.1145/1341531.1341538We say that an algorithm for nearest neighbor search is combinatorial if only direct comparisons between two pairwise similarity values are allowed. Combinatorial algorithms for nearest neighbor search have two important advantages: (1) they do not map ...