عنوان

Recommender systems for location-based social networks /

(Number (ISBN

1306693365

(Number (ISBN

1493902865 (electronic bk.)

(Number (ISBN

9781306693363

(Number (ISBN

9781493902866 (electronic bk.)

Erroneous ISBN

1493902857

Erroneous ISBN

9781493902859

Number

dltt

Title Proper

Recommender systems for location-based social networks /

General Material Designation

[Book]

First Statement of Responsibility

Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos

Specific Material Designation and Extent of Item

1 online resource.

Series Title

SpringerBriefs in Electrical and Computer Engineering,

ISSN of Series

2191-8112

Text of Note

Introduction -- Recommender Systems -- Online Social Networks -- Location-based Social Networks -- Framework -- Algorithms -- Comparison -- Real Geo-social Recommender Systems -- Conclusions

0

Text of Note

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

Title

Recommender systems for location-based social networks

International Standard Book Number

1493902857

Online social networks.

Recommender systems (Information filtering)

COM-- 000000

Number

Edition

Class number

Symeonidis, Panagiotis

Manolopoulos, Yannis,1957-

Ntempos, Dimitrios

Ohio Library and Information Network.

Date of Transaction

20201222074512.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

270410

Y