{"id":152141,"date":"2007-04-01T00:00:00","date_gmt":"2007-04-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/k-best-suffix-arrays\/"},"modified":"2018-10-16T20:05:44","modified_gmt":"2018-10-17T03:05:44","slug":"k-best-suffix-arrays","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/k-best-suffix-arrays\/","title":{"rendered":"K-Best Suffix Arrays"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Suppose we have a large dictionary of strings. Each entry starts with a figure of merit (popularity). We wish to find the kbest matches for a substring, s, in a dictinoary, dict. That is, grep s dict | sort \u2013n | head \u2013k, but we would like to do this in sublinear time. Example applications: (1) web queries with popularities, (2) products with prices and (3) ads with click through rates. This paper proposes a novel index, k-best suffix arrays, based on ideas borrowed from suffix arrays and kdtrees. A standard suffix array sorts the suffixes by a single order (lexicographic) whereas k-best suffix arrays are sorted by two orders (lexicographic and popularity). Lookup time is between log N and sqrt N.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Suppose we have a large dictionary of strings. Each entry starts with a figure of merit (popularity). We wish to find the kbest matches for a substring, s, in a dictinoary, dict. That is, grep s dict | sort \u2013n | head \u2013k, but we would like to do this in sublinear time. Example applications: [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Association for Computational Linguistics","msr_publisher_other":"","msr_booktitle":"Proceedings of NAACL HLT 2007, Companion Volume, pages 17\u201320. Association for Computational Linguistic","msr_chapter":"","msr_edition":"Proceedings of NAACL HLT 2007, Companion Volume, pages 17\u201320. Association for Computational Linguistic","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"17\u201320","msr_page_range_start":"17","msr_page_range_end":"20","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of NAACL HLT 2007, Companion Volume, pages 17-20. 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