Random Walks on the Click Graph

posted by  varson (7)  12 months ago (research.microsoft.com)

Search engines can record which documents were clicked for which query, and use these query-document pairs as 'soft' relevance judgments. However, compared to the true judgments, click logs give noisy and sparse relevance information. We apply a Markov random walk model to a large click log, producing a probabilistic ranking of documents for a given query. A key advantage of the model is its ability to retrieve relevant documents that have not yet been clicked for that query and rank those