rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Relevance ranking for vertical search engines
  name:
    name part: Long, Bo
    role:
      role term: editor.
  name:
    name part: Chang, Yi
    name part: (Writer on computers)
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2014
    copyright date: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxiii, 239 pages) : illustrations (some color)
  abstract: In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best resultsCovers concepts and theories from the fundamental to the advancedDiscusses the state of the art: development of theories and practices in vertical search ranking applicationsIncludes detailed examples, case studies and real-world examples.
  table of contents: News search ranking -- Medical domain search ranking -- Visual search ranking -- Mobile search ranking -- Entity ranking -- Multi-aspect relevance ranking -- Aggregated vertical search -- Cross vertical search ranking.
  note: edited by Bo Long, Yi Chang.
  note: Includes bibliographical references (pages 201-221) and index.
  subject:
    topic: Text processing (Computer science)
  subject:
    topic: Sorting (Electronic computers)
  subject:
    topic: Relevance
  subject:
    topic: Database searching
  subject:
    topic: Search engines
    topic: Programming
  subject:
    topic: Word Processing
  subject:
    topic: Traitement de texte
  subject:
    topic: Tri (Informatique)
  subject:
    topic: Pertinence
  subject:
    topic: Bases de données
    topic: Interrogation
  subject:
    topic: Moteurs de recherche
    topic: Programmation
  subject:
    topic: online searching
  subject:
    topic: LANGUAGE ARTS & DISCIPLINES
    topic: Library & Information Science
    topic: General
  subject:
    topic: Database searching
  subject:
    topic: Relevance
  subject:
    topic: Search engines
    topic: Programming
  subject:
    topic: Sorting (Electronic computers)
  subject:
    topic: Text processing (Computer science)
  classification: QA76.9.T48 R455 2014eb
  classification: 025.04
  related item:
    title info:
      title: Relevance ranking for vertical search engines
    origin info:
      publisher: Amsterdam : Morgan Kaufmann, an imprint of Elsevier, [2014]
    identifier: (DLC) 2013039777
    identifier: (OCoLC)861211374
  identifier: 9780124072022
  identifier: 012407202X
  identifier: 9781306415439
  identifier: 1306415438
  identifier: 9780124071711
  identifier: 0124071716
  identifier: 2013039777
  identifier: 572794 MIL
  identifier: C16B590B-9FF9-4F5F-975F-81081D41DE5F OverDrive, Inc.
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 140212
    record change date: 20260326200134.0
    record identifier: in00005753831
    language of cataloging:
      language term: eng