{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:44:57Z","timestamp":1761007497420,"version":"build-2065373602"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,1,11]],"date-time":"2012-01-11T00:00:00Z","timestamp":1326240000000},"content-version":"vor","delay-in-days":375,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc of Assoc for Info"],"published-print":{"date-parts":[[2011,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Gathering detailed information about user product in\u2010terests is becoming increasingly important for online advertisers. However, when gathering this information, maintaining the privacy of online users is a concern. This research is part of a larger project aiming to provide privacy preserving advertising. Specifically, this research aims to provide a method for mapping user search queries to actual product categories while pre\u2010serving the users' privacy by storing user information on the local host. Product information gathered from two large shopping websites and real user search queries from a log file are used to match user search queries with the most relevant product categories. In matching search queries to product categories, we explore several issues including the algorithm used to rank product categories, the index size, which fields in the index are searched (product description or product name), and what type of product categories are used. Our findings indicate that the most successful algorithms on the user's computer, which preserve privacy, can match the results of those where information is sent to a central server. In addition, the description field of products is the most useful, particularly when searched as a phrase. Having specific fine\u2010grained product categories would help advertisers, search engines and marketers by providing them more information about users while pre\u2010serving user privacy.<\/jats:p>","DOI":"10.1002\/meet.2011.14504801111","type":"journal-article","created":{"date-parts":[[2012,1,11]],"date-time":"2012-01-11T12:23:03Z","timestamp":1326284583000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Mapping user search queries to product categories"],"prefix":"10.1002","volume":"48","author":[{"given":"Carolyn T.","family":"Hafernik","sequence":"first","affiliation":[]},{"given":"Bin","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Francis","sequence":"additional","affiliation":[]},{"given":"Bernard J.","family":"Jansen","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,1,11]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"Amazon.com. (2010 May).Amazon.comapi. 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H. &Francis P.(2009).Serving ads from localhost for performance privacy and profit.Proceedings of Hot Topics in Networking (HotNets)."},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2007.07.015"},{"key":"e_1_2_9_11_1","doi-asserted-by":"crossref","unstructured":"Kang I. &Kim G.(2003).Query type classification for web document retrieval.Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval 64\u201371.","DOI":"10.1145\/860435.860449"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1117454.1117468"},{"key":"e_1_2_9_13_1","doi-asserted-by":"crossref","unstructured":"Khopkar Y. Spink A. Giles C. L. Shah P. &Deb\u2010Nath S.(2003).Search engine personalization: An exploratory study. First Monday.","DOI":"10.5210\/fm.v8i7.1063"},{"key":"e_1_2_9_14_1","doi-asserted-by":"crossref","unstructured":"Lee U. 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