{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T04:55:41Z","timestamp":1696913741597},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2007,4,30]],"date-time":"2007-04-30T00:00:00Z","timestamp":1177891200000},"content-version":"vor","delay-in-days":88,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence"],"published-print":{"date-parts":[[2007,2]]},"abstract":"When one tries to use the Web as a dictionary or encyclopedia, entering some single term into a search engine, the highly ranked pages in the result can include irrelevant or useless sites. The problem is that single\u2010term queries, if taken literally, underspecify the type of page the user wants. For such problems automatic query expansion, also known as pseudo\u2010feedback, is often effective. In this method the top n<\/jats:italic> documents returned by an initial retrieval are used to provide terms for a second retrieval. This paper contributes, first, new normalization techniques for query expansion, and second, a new way of computing the similarity between an expanded query and a document, the \u201clocal relevance density\u201d metric, which complements the standard vector product metric. Both of these techniques are shown to be useful for single\u2010term queries, in Japanese, in experiments done over the World Wide Web in early 2001.<\/jats:p>","DOI":"10.1111\/j.1467-8640.2007.00291.x","type":"journal-article","created":{"date-parts":[[2007,5,7]],"date-time":"2007-05-07T14:08:49Z","timestamp":1178546929000},"page":"3-14","source":"Crossref","is-referenced-by-count":0,"title":["SEARCHING FOR EXPLANATORY WEB PAGES USING AUTOMATIC QUERY EXPANSION"],"prefix":"10.1111","volume":"23","author":[{"given":"Manabu","family":"Tauchi","sequence":"first","affiliation":[]},{"given":"Nigel","family":"Ward","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,4,30]]},"reference":[{"key":"e_1_2_12_2_1","volume-title":"Modern Information Retrieval","author":"Baeza\u2010Yates R.","year":"1999"},{"key":"e_1_2_12_3_1","unstructured":"Buckley C. A.Singhal M.Mitra andG.Salton.1996.New retrieval approaches using SMART: TREC4.InThe Fourth Text REtrieval Conference (TREC\u20104).Edited byD. K.Harman pp.25\u201348. Gaithersburg MD :NIST."},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/568727.568728"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/366836.366860"},{"key":"e_1_2_12_6_1","volume-title":"TREC: Experiment and Evaluation in Information Retrieval","author":"Hawking D.","year":"2005"},{"key":"e_1_2_12_7_1","unstructured":"Kiyota Y. andS.Kurohashi.2000.Gisting and KWIC\u2010index generation from web texts. Information Processing Society of Japan. Workshop Notes 2000\u2010NL\u2010137\u20105."},{"key":"e_1_2_12_8_1","doi-asserted-by":"crossref","unstructured":"Kurland O. L.Lee andC.Domshlak.2005.Better than the real thing? Iterative pseudo\u2010query processing using cluster\u2010based language models.InSIGIR '05. 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