Sciweavers

WWW
2009
ACM

Query clustering using click-through graph

14 years 4 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages selected for the queries, and a set of directed edges that connects a query node and a page node clicked by a user for the query. The proposed method extracts all maximal bipartite cliques (bicliques) from a click-through graph and compute an equivalence set of queries (i.e., a query cluster) from the maximal bicliques. A cluster of queries is formed from the queries in a biclique. We present a scalable algorithm that enumerates all maximal bicliques from the click-through graph. We have conducted experiments on Yahoo web search queries and the result is promising. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval - Clustering; G.2.2 [Discrete Mathematics Graph Theory]: Graph Theory ? Graph algorithms General Terms Algorithms, Experimentation
Jeonghee Yi, Farzin Maghoul
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2009
Where WWW
Authors Jeonghee Yi, Farzin Maghoul
Comments (0)