Agglomerative clustering of a search engine query log

@inproceedings{citeulike:848252, abstract = {This paper introduces a technique for mining a collection of user transactions with an Internet search engine to discover clusters of similar queries and similar URLs. The information we exploit is \"clickthrough data\": each record consists of a user's query to a search engine along with the URL which the user selected from among the candidates offered by the search engine. By viewing this dataset as a bipartite graph, with the vertices on one side corresponding to queries and on the other side...}, author = {Beeferman, Doug and Berger, Adam }, booktitle = {Knowledge Discovery and Data Mining}, citeulike-article-id = {848252}, keywords = {clustering, datamining, loganalysis, search}, pages = {407--416}, posted-at = {2006-09-17 19:56:26}, priority = {2}, title = {Agglomerative clustering of a search engine query log}, url = {http://citeseer.ist.psu.edu/beeferman00agglomerative.html}, year = {2000} }

TY - CONF ID - citeulike:848252 L3 - citeulike-article-id:848252 TI - Agglomerative clustering of a search engine query log T2 - Knowledge Discovery and Data Mining SP - 407 EP - 416 N2 - This paper introduces a technique for mining a collection of user transactions with an Internet search engine to discover clusters of similar queries and similar URLs. The information we exploit is "clickthrough data": each record consists of a user's query to a search engine along with the URL which the user selected from among the candidates offered by the search engine. By viewing this dataset as a bipartite graph, with the vertices on one side corresponding to queries and on the other side... KW - clustering KW - datamining KW - loganalysis KW - search AU - Beeferman, Doug AU - Berger, Adam PY - 2000/// UR - http://citeseer.ist.psu.edu/beeferman00agglomerative.html ER -