Information and Recommender Systems (Paperback)

Elsa Negre

ISBN 10: 1848217544 / ISBN 13: 9781848217546

Published by ISTE Ltd and John Wiley & Sons Inc, London, 2015

About this Item

Paperback. Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them. Computer techniques exist to facilitate this research and allow relevant information extraction. Recommendation systems introduced the notions inherent to the recommendation, based, inter alia, information search, filtering, machine learning, collaborative approaches. It also deals with the assessment of such systems and has various applications. Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781848217546

Bibliographic Details

• Title: Information and Recommender Systems (Paperback)
• Publisher: ISTE Ltd and John Wiley & Sons Inc, London
• Publication Date: 2015
• Language: English
• ISBN 10: 1848217544
• ISBN 13: 9781848217546
• Binding: Paperback
• Condition: new

About this title

Synopsis

Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation.  In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them. Computer techniques exist to facilitate this research and allow relevant information extraction.  Recommendation systems introduced the notions inherent to the recommendation, based, inter alia, information search, filtering, machine learning, collaborative approaches. It also deals with the assessment of such systems and has various applications.

About the Author

Elsa Negro has a PhD in computer science and is professor at Paris-Dauphine University, France. She is particularly interested in decision-making information systems, recommendation systems, intelligent digital cities and crisis management.