Knowledge-based recommendation systems: A survey

Research output: Contribution to journalArticle

Abstract

Knowledge-Base Recommendation (or Recommender) Systems (KBRS) provide the user with advice about a decision to make or an action to take. KBRS rely on knowledge provided by human experts, encoded in the system and applied to input data, in order to generate recommendations. This survey overviews the main ideas characterizing a KBRS. Using a classification framework, the survey overviews KBRS components, user problems for which recommendations are given, knowledge content of the system, and the degree of automation in producing recommendations.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalInternational Journal of Intelligent Information Technologies
Volume10
Issue number2
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Advice
  • Automation
  • Classification framework
  • Decision-Making
  • Knowledge-Base system
  • Recommendation problem
  • Recommendation system
  • User profile

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  • Student Theses

    The Design of an Online Social Network and its Knowledge-Based Recommendation System

    Author: Bouraga, S., 21 Apr 2017

    Supervisor: Faulkner, S. (Supervisor), Jureta, I. (Supervisor), Castiaux, A. (President), Mouratidis, H. (External person) (Jury), Perini, A. (External person) (Jury), Kolp, M. (External person) (Jury) & Petit, M. (External person) (Jury)

    Student thesis: Doc typesDoctor of Sciences

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