%0 Conference Paper %1 1135845 %A Yang, Beverly %A Jeh, Glen %B WWW '06: Proceedings of the 15th international conference on World Wide Web %C New York, NY, USA %D 2006 %I ACM %K imported %P 457--466 %R http://doi.acm.org/10.1145/1135777.1135845 %T Retroactive answering of search queries %U http://portal.acm.org/citation.cfm?id=1135845 %X 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. %@ 1-59593-323-9

@inproceedings{1135845, 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.}, added-at = {2008-10-19T15:25:28.000+0200}, address = {New York, NY, USA}, author = {Yang, Beverly and Jeh, Glen}, biburl = {https://www.bibsonomy.org/bibtex/2c77b098fa71580278257f5e81fc46180/pnk}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, description = {Retroactive answering of search queries}, doi = {http://doi.acm.org/10.1145/1135777.1135845}, interhash = {92322b24ecf36270805de520e8028325}, intrahash = {c77b098fa71580278257f5e81fc46180}, isbn = {1-59593-323-9}, keywords = {imported}, location = {Edinburgh, Scotland}, pages = {457--466}, publisher = {ACM}, timestamp = {2008-10-19T15:25:28.000+0200}, title = {Retroactive answering of search queries}, url = {http://portal.acm.org/citation.cfm?id=1135845}, year = 2006 }