Cantitate/Preț
Produs

Recommender Systems for the Social Web: Intelligent Systems Reference Library, cartea 32

Autor José J. Pazos Arias, Ana Fernández Vilas, Rebeca P. Díaz Redondo
en Limba Engleză Paperback – 22 feb 2014
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account theusers’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.
Citește tot Restrânge

Din seria Intelligent Systems Reference Library

Preț: 62149 lei

Preț vechi: 77686 lei
-20%

Puncte Express: 932

Carte tipărită la comandă

Livrare economică 06-20 iunie


Specificații

ISBN-13: 9783642446276
ISBN-10: 3642446272
Pagini: 244
Ilustrații: XX, 224 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:2012
Editura: Springer
Colecția Intelligent Systems Reference Library
Seria Intelligent Systems Reference Library

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part I General Aspects.- Part II Interoperability For Recommendation.- Part III Trust & Recommendation.- Part IV Group Recommendation.- Part V Applications.- Part VI Conclusions And Open Trends.

Textul de pe ultima copertă

The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account theusers’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.

Caracteristici

Introduces opportunities and challenges that arise in the recommenders' area with the advent of the Web 2.0 Presents the mains aspects in the Web 2.0 hype which have to be incorporated in traditional recommender systems such as the user’s active behavior, social networks, as well as the anytime, anywhere phenomenon Written by leading experts in the field