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

    Fingerprint

Keywords

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

Cite this