Résumé
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.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 1-19 |
| Nombre de pages | 19 |
| journal | International Journal of Intelligent Information Technologies |
| Volume | 10 |
| Numéro de publication | 2 |
| Les DOIs | |
| Etat de la publication | Publié - 1 janv. 2014 |
Empreinte digitale
Examiner les sujets de recherche de « Knowledge-based recommendation systems: A survey ». Ensemble, ils forment une empreinte digitale unique.Thèses de l'étudiant
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The Design of an Online Social Network and its Knowledge-Based Recommendation System
Auteur: Bouraga, S., 21 avr. 2017Superviseur: Faulkner, S. (Promoteur), Jureta, I. (Promoteur), Castiaux, A. (Président), Mouratidis, H. (Personne externe) (Jury), Perini, A. (Personne externe) (Jury), Kolp, M. (Personne externe) (Jury) & Petit, M. (Personne externe) (Jury)
Student thesis: Doc types › Docteur en Sciences