On Enumerating Maximal Bicliques of Click-Through Graph
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Abstract
Search Engine is to retrieve the relevant information from the web, based on user queries. The problem of discovering query clusters from a click-through graph of web search logs is described in this paper. The click through graph consists of a set of clicked queries, pages that are returned as result and a set of edges that connects a query and a page clicked by the user. The proposed method is enumerating all maximal bicliques of a bipartite graph from click-through graph and compute equivalence query clusters from maximal bicliques. It has two main contributions: first, use all maximal bicliques to find minimum number of bicliques covering a subset of edges or vertices for given bipartite graph. We have conducted experiments on Yahoo web search queries.
Keywords: biclique enumeration; click-through graph; query cluster;
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