Mining web logs: applications and challenges Export

@inproceedings{kumar_SIGKDD_2009, abstract = {Web logs record the primary interaction of users with web pages in general and search engines in particular. There are two sources for such logs: user trails obtained from toolbars and query/click information obtained from search engines. In this talk we will address the task of mining this rich data to improve user experience on the web. We will illustrate a few applications, together with the modeling and algorithmic challenges that stem from these applications. We will also discuss the privacy issues that arise in this context.}, address = {New York, NY, USA}, author = {Kumar, Ravi}, booktitle = {KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining}, citeulike-article-id = {5080078}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1557019.1557022}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1557019.1557022}, doi = {10.1145/1557019.1557022}, isbn = {978-1-60558-495-9}, keywords = {applications, challenges, data-mining, logs}, location = {Paris, France}, pages = {3--4}, posted-at = {2009-07-06 23:14:40}, priority = {2}, publisher = {ACM}, title = {Mining web logs: applications and challenges}, url = {http://dx.doi.org/10.1145/1557019.1557022}, year = {2009} }

TY - CONF ID - kumar_SIGKDD_2009 L3 - citeulike-article-id:5080078 N2 - Web logs record the primary interaction of users with web pages in general and search engines in particular. There are two sources for such logs: user trails obtained from toolbars and query/click information obtained from search engines. In this talk we will address the task of mining this rich data to improve user experience on the web. We will illustrate a few applications, together with the modeling and algorithmic challenges that stem from these applications. We will also discuss the privacy issues that arise in this context. CY - Paris, France SN - 978-1-60558-495-9 AD - New York, NY, USA EP - 4 TI - Mining web logs: applications and challenges PB - ACM T2 - KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining SP - 3 KW - applications KW - challenges KW - data-mining KW - logs AU - Kumar, Ravi PY - 2009/// UR - http://dx.doi.org/10.1145/1557019.1557022 ER -