Description: Recommender Systems for Social Tagging Systems by Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis, Steffen Rendle, Robert Jäschke Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. Publisher Description Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the "noise" that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models. Details ISBN 1461418933 ISBN-13 9781461418931 Title Recommender Systems for Social Tagging Systems Author Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Andreas Hotho, Gerd Stumme, Panagiotis Symeonidis, Steffen Rendle, Robert Jäschke Format Paperback Year 2012 Pages 111 Edition 2012th Publisher Springer-Verlag New York Inc. GE_Item_ID:137652133; 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
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Restocking Fee: No
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ISBN-13: 9781461418931
Book Title: Recommender Systems for Social Tagging Systems
Number of Pages: IX, 111 Pages
Publication Name: Recommender Systems for Social Tagging Systems
Language: English
Publisher: Springer New York
Publication Year: 2012
Item Height: 0.1 in
Subject: Web / Social Media, Probability & Statistics / General, Web / Design, System Administration / Storage & Retrieval, Databases / Data Mining, Enterprise Applications / General
Item Weight: 16 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Leandro Balby Marinho, Alexandros Nanopoulos, Andreas Hotho, Robert Jäschke, Lars Schmidt-Thieme
Item Width: 6.1 in
Series: Springerbriefs in Electrical and Computer Engineering Ser.
Format: Trade Paperback