Search (3 results, page 1 of 1)

  • × subject_ss:"Web search engines"
  1. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005) 0.04
    0.03511544 = product of:
      0.105346315 = sum of:
        0.105346315 = weight(_text_:query in 7) [ClassicSimilarity], result of:
          0.105346315 = score(doc=7,freq=10.0), product of:
            0.22937049 = queryWeight, product of:
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.049352113 = queryNorm
            0.4592845 = fieldWeight in 7, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.03125 = fieldNorm(doc=7)
      0.33333334 = coord(1/3)
    
    Content
    Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading
  2. Hearst, M.A.: Search user interfaces (2009) 0.03
    0.031408206 = product of:
      0.09422461 = sum of:
        0.09422461 = weight(_text_:query in 4029) [ClassicSimilarity], result of:
          0.09422461 = score(doc=4029,freq=8.0), product of:
            0.22937049 = queryWeight, product of:
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.049352113 = queryNorm
            0.41079655 = fieldWeight in 4029, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.03125 = fieldNorm(doc=4029)
      0.33333334 = coord(1/3)
    
    Abstract
    This book outlines the human side of the information seeking process, and focuses on the aspects of this process that can best be supported by the user interface. It describes the methods behind user interface design generally, and search interface design in particular, with an emphasis on how best to evaluate search interfaces. It discusses research results and current practices surrounding user interfaces for query specification, display of retrieval results, grouping retrieval results, navigation of information collections, query reformulation, search personalization, and the broader tasks of sensemaking and text analysis. Much of the discussion pertains to Web search engines, but the book also covers the special considerations surrounding search of other information collections.
    Content
    Inhalt: The design of search user interfaces -- The evaluation of search user interfaces -- Models of the information seeking process -- Query specification -- Presentation of search results -- Query reformulation -- Supporting the search process -- Integrating navigation with search -- Personalization in search -- Information visualization for search interfaces -- Information visualization for text analysis -- Emerging trends in search interfaces. Vgl. die digitale Fassung unter: http://searchuserinterfaces.com.
  3. Web search engine research (2012) 0.02
    0.023556154 = product of:
      0.07066846 = sum of:
        0.07066846 = weight(_text_:query in 478) [ClassicSimilarity], result of:
          0.07066846 = score(doc=478,freq=2.0), product of:
            0.22937049 = queryWeight, product of:
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.049352113 = queryNorm
            0.30809742 = fieldWeight in 478, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.6476326 = idf(docFreq=1151, maxDocs=44218)
              0.046875 = fieldNorm(doc=478)
      0.33333334 = coord(1/3)
    
    Abstract
    "Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers.