General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

Small thumbnail

Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

Small thumbnail

Flash Memory Integration

Performance and Energy Considerations

Small thumbnail

Mechanics of Aeronautical Solids, Materials and Structures

Small thumbnail

Engineering Investment Process

Making Value Creation Repeatable

Small thumbnail

Space Strategy

Small thumbnail

Distributed Systems

Concurrency and Consistency

Small thumbnail

Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set – Volume 1

Small thumbnail

Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

Small thumbnail

Computational Color Science

Variational Retinex-like Methods

Small thumbnail

Recommender Systems

Edited by Gérald Kembellec, University of Lille 3, France Ghislaine Chartron, CNAM, France Imad Saleh, University of Paris 8, France

ISBN: 9781848217683

Publication Date: November 2014   Hardback   254 pp.

105.00 USD


Add to cart

eBooks


Ebook Ebook

Description

Elected by the different content platforms (books, music, films) and online sales sites, recommender systems are the key elements of digital strategies. If their development was originally aimed at the performance of information systems, the issues today have been moved to a great extent to optimization logic of the client relationship, with the main objective being to maximize potential sales.
In a cross-disciplinary approach, the authors of this book bring together contributions linking the information and communication sciences, marketing, sociology, mathematics and IT. They discuss the understanding of models subjacent to recommender systems and detail their position within a historic perspective. The book also analyzes their development in the supply of content and evaluates their impact on the behavior of users.

Contents

1. General Introduction to Recommender Systems, Ghislaine Chartron and Gérald Kembellec.
2. Understanding Users’ Expectations for Recommender Systems: The Case of Social Media, Jean-Claude Domenget and Alexandre Coutant.
3. Recommender Systems and Social Networks: What Are the Implications or Digital Marketing?, Maria Mercanti-Guérin.
4. Recommender Systems and Diversity: Taking Advantage of the Long Tail and the Diversity of Recommendation Lists, Muriel Foulonneau, Valentin Grouès, Yannick Naudet and Max Chevalier.
5. iSoNTRE: Intelligent Transformer of Social Networks into a Recommendation Engine Environment, Rana Chamsi Abu Quba, Salima Hassas, Usama Fayyad, Hammam Chamsi and Christine Gertosio.
6. A Two-Level Recommendation Approach for Document Search, Manel Hmimida and Rushed Kanawati.
7. Combining Configuration and Recommendation to Enable an Interactive Guidance of Product Line Configuration, Raouia Triki, Raúl Mazo and Camille Salinesi.
8. Semio-Cognitive Spaces: The Frontier of Recommender Systems, Hakim Hachour, Samuel Szoniecky and Safia Abouad.
9. The French-Speaking Literary Prescription Market in Networks, Louis Wiart.
10. Presentation of Offered Services: Babelio, A Recommendation Engine Dedicated to Books, Vassil Stefanov, Guillaume Teisseire and Pierre Frémaux.
11. Presentation of the Offer Of Services: Nomao, Recommender Systems and Information Search, Estelle Delpech, Laurent Candillier and Étienne Chai.

About the Authors

Gérald Kembellec is Professor at the GERiiCO laboratory at the University of Lille 3 in France. He specializes in information and communication science.
Ghislaine Chartron is Full Professor at CNAM in France and director of the French national institute for documentation science and techniques.
Imad Saleh is Professor at the University of Paris 8 in France, director of the Paragraphe laboratory and director of the Cognition Language Interaction doctoral school.

Downloads

DownloadTable of Contents - PDF File - 145 Kb

































0.02334 s.