Relevance Ranking for Vertical Search Engines

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  • Publisher : Morgan Kaufmann
  • Release : 19 August 2022
  • ISBN : 0124071716
  • Page : 239 pages
  • Rating : 4.5/5 from 103 voters

Relevance Ranking for Vertical Search Engines Book PDF summary

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. Foreword by Ron Brachman, Chief Scientist and Head, Yahoo! Labs Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results Covers concepts and theories from the fundamental to the advanced Discusses the state of the art: development of theories and practices in vertical search ranking applications Includes detailed examples, case studies and real-world situations

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Relevance Ranking for Vertical Search Engines

Relevance Ranking for Vertical Search Engines
  • Author : Bo Long,Yi Chang
  • Publisher : Morgan Kaufmann
  • Release Date : 2014
  • ISBN : 0124071716
DOWNLOAD BOOKRelevance 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 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 Ranking for Vertical Search Engines

Relevance Ranking for Vertical Search Engines
  • Author : Bo Long,Yi Chang
  • Publisher : Newnes
  • Release Date : 2014-01-25
  • ISBN : 9780124072022
DOWNLOAD BOOKRelevance 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 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

Fundamentals and Applications of AI: An Interdisciplinary Perspective

Fundamentals and Applications of AI: An Interdisciplinary Perspective
  • Author : Víctor M. Eguíluz,Claudio Mirasso,Raul Vicente
  • Publisher : Frontiers Media SA
  • Release Date : 2021-03-03
  • ISBN : 9782889665310
DOWNLOAD BOOKFundamentals and Applications of AI: An Interdisciplinary Perspective

Web Search Engine Research

Web Search Engine Research
  • Author : Dirk Lewandowski
  • Publisher : Emerald Group Publishing
  • Release Date : 2012-04-19
  • ISBN : 9781780526379
DOWNLOAD BOOKWeb Search Engine Research

Provides an understanding of Web search engines from the unique perspective of Library and Information Science. This book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, and the influence of search engine optimization (SEO) on results quality.

Advances in Information Retrieval

Advances in Information Retrieval
  • Author : Paul Clough,Colum Foley,Cathal Gurrin,Gareth J. F. Jones,Wessel Kraaij,Hyowon Lee,Vanessa Murdock
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-04-06
  • ISBN : 9783642201608
DOWNLOAD BOOKAdvances in Information Retrieval

This book constitutes the refereed proceedings of the 33rd annual European Conference on Information Retrieval Research, ECIR 2011, held in Dublin, Ireland, in April 2010. The 45 revised full papers presented together with 24 poster papers, 17 short papers, and 6 tool demonstrations were carefully reviewed and selected from 223 full research paper submissions and 64 poster/demo submissions. The papers are organized in topical sections on text categorization, recommender systems, Web IR, IR evaluation, IR for Social Networks, cross-language IR, IR theory, multimedia IR, IR applications, interactive

Machine Learning for Big Data Analysis

Machine Learning for Big Data Analysis
  • Author : Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2018-12-17
  • ISBN : 9783110551433
DOWNLOAD BOOKMachine Learning for Big Data Analysis

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)

Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)
  • Author : Ajith Abraham,Aswani Kumar Cherukuri,Ana Maria Madureira,Azah Kamilah Muda
  • Publisher : Springer
  • Release Date : 2017-08-17
  • ISBN : 9783319606187
DOWNLOAD BOOKProceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)

This volume presents 70 carefully selected papers from a major joint event: the 8th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) and the 8th International Conference on Computational Aspects of Social Networks (CASoN 2016). SoCPaR–CASoN 2016, which was organized by the Machine Intelligence Research Labs (MIR Labs), USA and Vellore Institute of Technology (VIT), India and held at the VIT on December 19–21, 2016. It brings together researchers and practitioners from academia and industry to share their experiences and exchange new ideas

Result Page Generation for Web Searching: Emerging Research and Opportunities

Result Page Generation for Web Searching: Emerging Research and Opportunities
  • Author : Alli, Mostafa
  • Publisher : IGI Global
  • Release Date : 2020-12-18
  • ISBN : 9781799809630
DOWNLOAD BOOKResult Page Generation for Web Searching: Emerging Research and Opportunities

Diversity in user queries makes it challenging for search engines to effectively return a set of relevant results. Both user intentions to search the web and types of queries are vastly varied; consequently, horizontal and vertical search engines are developed to answer user queries more efficiently. However, these search engines present a variety of problems in web searching. Result Page Generation for Web Searching: Emerging Research and Opportunities is an essential reference publication that focuses on taking advantages from text