Knowledge-Based Recommendation Systems: A Survey

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...

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Veröffentlicht in:International journal of intelligent information technologies Jg. 10; H. 2; S. 1 - 19
Hauptverfasser: Bouraga, Sarah, Jureta, Ivan, Faulkner, Stéphane, Herssens, Caroline
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hershey IGI Global 01.04.2014
Schlagworte:
Analysis
Automation
Classification
Filtering systems
Human
Knowledge
Knowledge base
Knowledge bases (artificial intelligence)
Knowledge-based systems
Recommender systems
Systems design
User profiles
United States
ISSN:1548-3657, 1548-3665
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:1548-3657
1548-3665
DOI:10.4018/ijiit.2014040101