Search (5 results, page 1 of 1)

  • × author_ss:"Frieder, O."
  1. Lundquist, C.; Frieder, O.; Holmes, D.O.; Grossman, D.: ¬A parallel relational database management system approach to relevance feedback in information retrieval (1999) 0.02
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    Date
    17. 1.2000 12:22:18
  2. Soo, J.; Frieder, O.: On searching misspelled collections (2015) 0.02
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    Abstract
    We describe an unsupervised, language-independent spelling correction search system. We compare the proposed approach with unsupervised and supervised algorithms. The described approach consistently outperforms other unsupervised efforts and nearly matches the performance of a current state-of-the-art supervised approach.
  3. Aljlayl, M.; Frieder, O.; Grossman, D.: On bidirectional English-Arabic search (2002) 0.02
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    Abstract
    Aljlayl, Frieder, and Grossman review machine translation of query methodologies and apply them to English-Arabic/Arabic-English Cross-Language Information Retrieval. In the dictionary method, replacement of each term with all possible equivalents in the target language results in considerable ambiguity, while taking the first term in the dictionary list reduces the ambiguity but may fail to capture the meaning. A Two-Phase method takes all possible equivalents and translates them back, retaining only those that generate the original term. It results in an average query length of six terms in TREC7 and 12 in TREC9. Arabic to English translations consistently preformed below the original English queries, and the Two-Phase method consistently preformed at the highest level and significantly better than the Every-Match method. Machine translation using other techniques is economical for queries but not likely so for documents. Using ALKAFI, a commercial translation system from Arabic to English and the Al-Mutarjim Al-Arabey system for English to Arabic, nearly 60% of monolingual retrievals were generated going from Arabic to English. Smaller numbers of terms in the source query improve performance, and these systems require syntactically well-formed queries for good performance.
  4. Grossman, D.A.; Frieder, O.: Information retrieval : algorithms and heuristics (2004) 0.01
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    Abstract
    Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information on retrieval design and implementation questions is provided. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked against a document collection using either a single or a combination of retrieval strategies, and how an assortment of utilities are integrated into the query processing scheme to improve these rankings. Methods for building and compressing text indexes, querying and retrieving documents in multiple languages, and using parallel or distributed processing to expedite the search are likewise described. This edition is a major expansion of the one published in 1998. Neuaufl. 2005: Besides updating the entire book with current techniques, it includes new sections on language models, cross-language information retrieval, peer-to-peer processing, XML search, mediators, and duplicate document detection.
  5. Aqeel, S.U.; Beitzel, S.M.; Jensen, E.C.; Grossman, D.; Frieder, O.: On the development of name search techniques for Arabic (2006) 0.01
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    Date
    22. 7.2006 17:20:20