Recommender Systems (eBook)

Gerald Kembellec, Ghislaine Chartron, Imad Saleh (Autoren)

eBook Download: PDF

2014 | 1. Auflage
252 Seiten
John Wiley & Sons (Verlag)
978-1-119-05424-5 (ISBN)

Infos

Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales.

On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.

Autor

Lecturer at the GERiiCO laboratory at University Lille 3, Gerald Kembellec specializes in information science and communication. Professor of Documentary Engineering Chair of CNAM, Ghislaine Chartron is director of the National Institute of Science and Technical documentation. Professor at the University Paris 8, Imad Saleh is the Paragraph laboratory director and director of the graduate school Cognition Language Interaction.

Inhalt

1 General Introduction to recommender systems

2 uses to analyze the recommender systems: the case of socialmedia

3 recommendation systems and social networks, what are theimplications for digital marketing?

4 recommenders and Diversity: Exploitation of the long tail anddiversity of recommendation lists

5 iSoNTRE: Intelligent transformer social networking environmentrecommendation engines

6 An approach to recommendation level faceted classification forinformation retrieval

7 Combining configuration and recommendation to allow convenientinteractive configuration by product line

8 Space sémiocognitifs: borders recommender systems

9 The French market of literary prescription networks

10 Presentation of the range of services: Goodreads, arecommendation engine dedicated to books

11 Presentation of the range of services: Nomao, recommendersystems and information retrieval

Produkt-Details

• Erscheint lt. Verlag: 4.12.2014
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: Computer Science • Informatik • Informationstechnologie • Information Technologies
• ISBN-10: 1-119-05424-9 / 1119054249
• ISBN-13: 978-1-119-05424-5 / 9781119054245