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Relevance ranking for vertical search engines

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...

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Bibliographic Details
Other Authors: Long, Bo (Editor), Chang, Yi (Editor)
Format: eBook
Language:English
Published: Amsterdam Elsevier/Morgan Kaufmann 2014
Subjects:
Bases De Données / Interrogation
Moteurs De Recherche / Programmation
Language Arts & Disciplines / Library & Information Science / General / Bisacsh
Sorting (electronic Computers) / Fast
Word Processing
Text Processing (computer Science) / Fast
Relevance / Fast
Search Engines / Programming / Fast
Pertinence
Online Searching / Aat
Tri (informatique)
Database Searching / Fast
Database Searching / Http://id.loc.gov/authorities/subjects/sh86007858
Text Processing (computer Science) / Http://id.loc.gov/authorities/subjects/sh85134304
Relevance / Http://id.loc.gov/authorities/subjects/sh85112508
Sorting (electronic Computers) / Http://id.loc.gov/authorities/subjects/sh85125332
Traitement De Texte
Search Engines / Programming / Http://id.loc.gov/authorities/subjects/sh00001051
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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
  • Includes bibliographical references (pages 201-221) and index

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