OLAP on search logs: an infrastructure supporting data-driven applications in search engines Export

@inproceedings{citeulike:5044006, abstract = {Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more data-driven applications are being developed in search engines based on search logs, such as query suggestion, keyword bidding, and dissatisfactory query analysis. In this paper, by observing that many data-driven applications in search engines highly rely on online mining of search logs, we develop an OLAP system on search logs which serves as an infrastructure supporting various data-driven applications. An empirical study using real data of over two billion query sessions demonstrates the usefulness and feasibility of our design.}, address = {New York, NY, USA}, author = {Zhou, Bin and Jiang, Daxin and Pei, Jian and Li, Hang}, booktitle = {KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining}, citeulike-article-id = {5044006}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1557019.1557168}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1557019.1557168}, doi = {10.1145/1557019.1557168}, isbn = {978-1-60558-495-9}, keywords = {databases, ranking, search}, location = {Paris, France}, pages = {1395--1404}, posted-at = {2009-07-03 09:27:54}, priority = {2}, publisher = {ACM}, title = {OLAP on search logs: an infrastructure supporting data-driven applications in search engines}, url = {http://dx.doi.org/10.1145/1557019.1557168}, year = {2009} }

TY - CONF ID - citeulike:5044006 L3 - citeulike-article-id:5044006 N2 - Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more data-driven applications are being developed in search engines based on search logs, such as query suggestion, keyword bidding, and dissatisfactory query analysis. In this paper, by observing that many data-driven applications in search engines highly rely on online mining of search logs, we develop an OLAP system on search logs which serves as an infrastructure supporting various data-driven applications. An empirical study using real data of over two billion query sessions demonstrates the usefulness and feasibility of our design. CY - Paris, France SN - 978-1-60558-495-9 AD - New York, NY, USA EP - 1404 TI - OLAP on search logs: an infrastructure supporting data-driven applications in search engines PB - ACM T2 - KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining SP - 1395 KW - databases KW - ranking KW - search AU - Zhou, Bin AU - Jiang, Daxin AU - Pei, Jian AU - Li, Hang PY - 2009/// UR - http://dx.doi.org/10.1145/1557019.1557168 ER -