Social Network-Based Recommender Systems

Social Network-Based Recommender Systems
Author :
Publisher : Springer
Total Pages : 139
Release :
ISBN-10 : 9783319227351
ISBN-13 : 3319227351
Rating : 4/5 (51 Downloads)

Book Synopsis Social Network-Based Recommender Systems by : Daniel Schall

Download or read book Social Network-Based Recommender Systems written by Daniel Schall and published by Springer. This book was released on 2015-09-23 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will also find this books useful as a secondary text.


Social Network-Based Recommender Systems Related Books

Recommender Systems for Location-based Social Networks
Language: en
Pages: 109
Authors: Panagiotis Symeonidis
Categories: Computers
Type: BOOK - Published: 2014-02-08 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provid
Social Network-Based Recommender Systems
Language: en
Pages: 139
Authors: Daniel Schall
Categories: Computers
Type: BOOK - Published: 2015-09-23 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, re
Encyclopedia of GIS
Language: en
Pages: 1392
Authors: Shashi Shekhar
Categories: Computers
Type: BOOK - Published: 2007-12-12 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The Encyclopedia of GIS provides a comprehensive and authoritative guide, contributed by experts and peer-reviewed for accuracy, and alphabetically arranged for
Point-of-Interest Recommendation in Location-Based Social Networks
Language: en
Pages: 110
Authors: Shenglin Zhao
Categories: Computers
Type: BOOK - Published: 2018-07-13 - Publisher: Springer

DOWNLOAD EBOOK

This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in
Recommender System with Machine Learning and Artificial Intelligence
Language: en
Pages: 448
Authors: Sachi Nandan Mohanty
Categories: Computers
Type: BOOK - Published: 2020-07-08 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, info