Description: Recommender Systems for Location-based Social Networks by Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Details ISBN 1493902857 ISBN-13 9781493902859 Title Recommender Systems for Location-based Social Networks Author Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos Format Paperback Year 2014 Pages 108 Edition 2014th Publisher Springer-Verlag New York Inc. GE_Item_ID:137657209; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 66.85 USD
Location: Fairfield, Ohio
End Time: 2024-12-27T03:40:56.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781493902859
Book Title: Recommender Systems for Location-based Social Networks
Number of Pages: V, 108 Pages
Publication Name: Recommender Systems for Location-Based Social Networks
Language: English
Publisher: Springer New York
Publication Year: 2014
Subject: Web / Social Media, Intelligence (Ai) & Semantics, Probability & Statistics / General, System Administration / Storage & Retrieval, Databases / Data Mining
Item Weight: 66.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Dimitrios Ntempos, Yannis Manolopoulos, Panagiotis Symeonidis
Item Width: 6.1 in
Series: Springerbriefs in Electrical and Computer Engineering Ser.
Format: Trade Paperback
