Information and Recommender Systems

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A01=Elsa Negre
Author_Elsa Negre
Category=KJS
Category=UM
classification
collaborative
correlation
data
document
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
exploitation
frequency
important details
information
introduction
principal
recommendation
recommender systems
score estimation
term
tfidf

Product details

  • ISBN 9781848217546
  • Weight: 150g
  • Dimensions: 155 x 234mm
  • Publication Date: 02 Oct 2015
  • Publisher: ISTE Ltd and John Wiley & Sons Inc
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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