0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence

Buy Now

Recommender Systems for Location-based Social Networks (Paperback, 2014 ed.) Loot Price: R1,816
Discovery Miles 18 160
Recommender Systems for Location-based Social Networks (Paperback, 2014 ed.): Panagiotis Symeonidis, Dimitrios Ntempos, Yannis...

Recommender Systems for Location-based Social Networks (Paperback, 2014 ed.)

Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos

Series: SpringerBriefs in Electrical and Computer Engineering

 (sign in to rate)
Loot Price R1,816 Discovery Miles 18 160 | Repayment Terms: R170 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: SpringerBriefs in Electrical and Computer Engineering
Release date: February 2014
First published: 2014
Authors: Panagiotis Symeonidis • Dimitrios Ntempos • Yannis Manolopoulos
Dimensions: 235 x 155 x 6mm (L x W x T)
Format: Paperback
Pages: 108
Edition: 2014 ed.
ISBN-13: 978-1-4939-0285-9
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 1-4939-0285-7
Barcode: 9781493902859

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners