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Extracting semantic relations from query logs
2007
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '07
In this paper we study a large query log of more than twenty million queries with the goal of extracting the semantic relations that are implicitly captured in the actions of users submitting queries and clicking answers. Previous query log analyses were mostly done with just the queries and not the actions that followed after them. We first propose a novel way to represent queries in a vector space based on a graph derived from the query-click bipartite graph. We then analyze the graph
doi:10.1145/1281192.1281204
dblp:conf/kdd/Baeza-YatesT07
fatcat:zu3hqfvkgrbczl4qtcblvmfxom