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Relevance Ranking for Vertical Search Engines

RELEVANCE RANKING FOR VERTICAL SEARCH ENGINES

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Contents.
List of Tables.
List of Figures.
About the Editors.
List of Contributors.
Foreword.
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.
References.
Author Index.
Subject Index.

Relevance Ranking for Vertical Search Engines.css-1p8rvzy{position:absolute;padding-left:8px;}

Relevance Ranking for Vertical Search Engines