Recommendation And Search In Social Networks

Download Recommendation And Search In Social Networks ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to Recommendation And Search In Social Networks book pdf for free now.

Recommendation And Search In Social Networks

Author : Özgür Ulusoy
ISBN : 9783319143798
Genre : Computers
File Size : 71.53 MB
Format : PDF, Mobi
Download : 960
Read : 488

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.
Category: Computers
Recommendation and Search in Social Networks
Language: un
Pages: 289
Authors: Özgür Ulusoy, Abdullah Uz Tansel, Erol Arkun
Categories: Computers
Type: BOOK - Published: 2015-02-12 - Publisher: Springer

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social
Bias and Social Aspects in Search and Recommendation
Language: en
Pages: 216
Authors: Ludovico Boratto
Categories: Electronic books
Type: BOOK - Published: 2020 - Publisher: Springer Nature

This book constitutes refereed proceedings of the First International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2020, held in April, 2020. Due to the COVID-19 pandemic BIAS 2020 was held virtually. The 10 full papers and 7 short papers were carefully reviewed and seleced from 44 submissions. The
Computational Social Network Analysis
Language: un
Pages: 485
Authors: Ajith Abraham, Aboul-Ella Hassanien, Vaclav Snášel
Categories: Computers
Type: BOOK - Published: 2009-12-10 - Publisher: Springer Science & Business Media

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social
Web Mining and Social Networking
Language: un
Pages: 210
Authors: Guandong Xu, Yanchun Zhang, Lin Li
Categories: Computers
Type: BOOK - Published: 2010-10-20 - Publisher: Springer Science & Business Media

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate
Advances in Web Intelligence and Data Mining
Language: en
Pages: 340
Authors: Mark Last, Piotr S. Szczepaniak, Zeev Volkovich, Abraham Kandel
Categories: Computers
Type: BOOK - Published: 2006-05-23 - Publisher: Springer

This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students can expect to