{"product_id":"9780792381778","title":"The Information Retrieval Series: Analytic Models of Performance","description":"\u003ch1\u003eThe Information Retrieval Series: Analytic Models of Performance\u003c\/h1\u003e \u003ch2\u003eLosee, Robert M.\u003c\/h2\u003e \u003cp\u003e\u003cem\u003eText Retrieval and Filtering: Analytical Models of  Performance\u003c\/em\u003e is the first book that addresses the problem of  analytically computing the performance of retrieval and filtering  systems. The book describes means by which retrieval may be studied  analytically, allowing one to \u003cem\u003edescribe\u003c\/em\u003e current performance,  \u003cem\u003epredict\u003c\/em\u003e future performance, and to \u003cem\u003eunderstand why\u003c\/em\u003e systems  perform as they do. The focus is on retrieving and filtering natural  language text, with material addressing retrieval performance for the  simple case of queries with a single term, the more complex case with  multiple terms, both with term independence and term dependence, and  for the use of grammatical information to improve performance.  Unambiguous statements of the conditions under which one method or  system will be more effective than another are developed. \u003cbr\u003e  \u003cem\u003eText Retrieval and Filtering: Analytical Models of Performance\u003c\/em\u003e  focuses on the performance of systems that retrieve natural language  text, considering full sentences as well as phrases and individual  words. The last chapter explicitly addresses how grammatical  constructs and methods may be studied in the context of retrieval or  filtering system performance. The book builds toward solving this  problem, although the material in earlier chapters is as useful to  those addressing non-linguistic, statistical concerns as it is to  linguists. Those interested in grammatical information should be  cautioned to carefully examine earlier chapters, especially Chapters 7  and 8, which discuss purely statistical relationships between terms,  before moving on to Chapter 10, which explicitly addresses linguistic  issues. \u003cbr\u003e  \u003cem\u003eText Retrieval and Filtering: Analytical Models of Performance\u003c\/em\u003e  is suitable as a secondary text for a graduate level course on  Information Retrieval or Linguistics, and as a reference for  researchers and practitioners in industry.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1998-06-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792381778\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-5705-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 242\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":47183198945420,"sku":"9780792381778","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792381778.jpg?v=1775005287","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792381778","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}