Relevance Ranking for Vertical Search Engines, 1st Edition

  • Published By:
  • ISBN-10: 012407202X
  • ISBN-13: 9780124072022
  • DDC: 025.04
  • Grade Level Range: College Freshman - College Senior
  • 264 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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 results.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
List of Tables.
List of Figures.
About the Editors.
List of Contributors.
1: Introduction.
2: News Search Ranking.
3: Medical Domain Search Ranking.
4: Visual Search Ranking.
5: Mobile Search Ranking.
6: Entity Ranking.
7: Multi-Aspect Relevance Ranking.
8: Aggregated Vertical Search.
9: Cross-Vertical Search Ranking.
Author Index.
Subject Index.