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 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

Produk Detail:

  • Author : Bo Long
  • Publisher : Morgan Kaufmann
  • Pages : 239 pages
  • ISBN : 9780124071711
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRelevance Ranking for Vertical Search Engines

Relevance Ranking for Vertical Search Engines

Relevance Ranking for Vertical Search Engines
  • Author : Bo Long,Yi Chang
  • Publisher : Morgan Kaufmann
  • Release : 02 July 2022
GET THIS 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 : 25 January 2014
GET THIS 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

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 : 17 December 2018
GET THIS 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

Web Search Engine Research

Web Search Engine Research
  • Author : Dirk Lewandowski
  • Publisher : Emerald Group Publishing
  • Release : 19 April 2012
GET THIS 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.

Search Engines

Search Engines
  • Author : Bruce Croft,Donald Metzler,Trevor Strohman
  • Publisher : Pearson Higher Ed
  • Release : 21 November 2011
GET THIS BOOKSearch Engines

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. It is also a valuable tool for search engine and information retrieval professionals. Written by a leader in the field of information retrieval, Search

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 : 06 April 2011
GET THIS 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

Aggregated Search

Aggregated Search
  • Author : Jaime Arguello
  • Publisher : Unknown Publisher
  • Release : 06 March 2017
GET THIS BOOKAggregated Search

A comprehensive summary of the research in aggregated search. It also surveys different evaluation methodologies for aggregated search and discusses prior user studies aimed at better understanding how users behave with aggregated search interfaces. It concludes by reviewing different advanced topics in aggregated search.

Introduction to Information Retrieval

Introduction to Information Retrieval
  • Author : Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
  • Publisher : Cambridge University Press
  • Release : 07 July 2008
GET THIS BOOKIntroduction to Information Retrieval

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory

Knowledge Science, Engineering and Management

Knowledge Science, Engineering and Management
  • Author : Dimitris Karagiannis,Zhi Jin
  • Publisher : Springer
  • Release : 17 November 2009
GET THIS BOOKKnowledge Science, Engineering and Management

Following two successful events in Guilin, People’s Republic of China (KSEM 2006) and in Melbourne, Australia (KSEM 2007) the third event in this conference series was held for the first time in Europe, namely, in Vienna, Austria. KSEM 2009 aimed to be a communication platform and meeting ground for research on knowledge science, engineering and management, attracting high-quality, state-of-the-art publications from all over the world. It offers an exceptional opportunity for presenting original work, technological advances, practical problems and concerns of the

Search Engines for Children

Search Engines for Children
  • Author : Tatiana Gossen
  • Publisher : Springer
  • Release : 14 January 2016
GET THIS BOOKSearch Engines for Children

The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children’s preference for visual information into account.

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 : 17 August 2017
GET THIS 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 : 18 December 2020
GET THIS 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

Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications

Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications
  • Author : Xuyun Zhang,Guanfeng Liu,Meikang Qiu,Wei Xiang,Tao Huang
  • Publisher : Springer Nature
  • Release : 22 May 2020
GET THIS BOOKCloud Computing, Smart Grid and Innovative Frontiers in Telecommunications

This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud

Academic Search Engines

Academic Search Engines
  • Author : Jose Luis Ortega
  • Publisher : Elsevier
  • Release : 02 October 2014
GET THIS BOOKAcademic Search Engines

Academic Search Engines: intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the