Retroactive answering of search queries Export

@inproceedings{citeulike:688164, abstract = {Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service, query-specific web recommendations (QSRs), that retroactively answers queries from a user's history as new results arise. The QSR system addresses two important subproblems with applications beyond the system itself: (1) Automatic identification of queries in a user's history that represent standing interests and unfulfilled needs. (2) Effective detection of interesting new results to these queries. We develop a variety of heuristics and algorithms to address these problems, and evaluate them through a study of Google history users. Our results strongly motivate the need for automatic detection of standing interests from a user's history, and identifies the algorithms that are most useful in doing so. Our results also identify the algorithms, some which are counter-intuitive, that are most useful in identifying interesting new results for past queries, allowing us to achieve very high precision over our data set.}, address = {New York, NY, USA}, author = {Yang, Beverly and Jeh, Glen}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, citeulike-article-id = {688164}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1135777.1135845}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1135777.1135845}, comment = {Studies how to detect queries that are good for google alerts.}, doi = {10.1145/1135777.1135845}, isbn = {1-59593-323-9}, keywords = {queries, stream, text}, location = {Edinburgh, Scotland}, pages = {457--466}, posted-at = {2006-06-07 11:20:52}, priority = {0}, publisher = {ACM}, title = {Retroactive answering of search queries}, url = {http://dx.doi.org/10.1145/1135777.1135845}, year = {2006} }

TY - CONF ID - citeulike:688164 L3 - citeulike-article-id:688164 N2 - Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service, query-specific web recommendations (QSRs), that retroactively answers queries from a user's history as new results arise. The QSR system addresses two important subproblems with applications beyond the system itself: (1) Automatic identification of queries in a user's history that represent standing interests and unfulfilled needs. (2) Effective detection of interesting new results to these queries. We develop a variety of heuristics and algorithms to address these problems, and evaluate them through a study of Google history users. Our results strongly motivate the need for automatic detection of standing interests from a user's history, and identifies the algorithms that are most useful in doing so. Our results also identify the algorithms, some which are counter-intuitive, that are most useful in identifying interesting new results for past queries, allowing us to achieve very high precision over our data set. CY - Edinburgh, Scotland SN - 1-59593-323-9 AD - New York, NY, USA EP - 466 TI - Retroactive answering of search queries PB - ACM T2 - WWW '06: Proceedings of the 15th international conference on World Wide Web SP - 457 KW - queries KW - stream KW - text N1 - Studies how to detect queries that are good for google alerts. AU - Yang, Beverly AU - Jeh, Glen PY - 2006/// UR - http://dx.doi.org/10.1145/1135777.1135845 ER -