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...

Full description

Saved in:
Bibliographic Details
Published in:International journal of intelligent information technologies Vol. 10; no. 2; pp. 1 - 19
Main Authors: Bouraga, Sarah, Jureta, Ivan, Faulkner, Stéphane, Herssens, Caroline
Format: Journal Article
Language:English
Published: Hershey IGI Global 01.04.2014
Subjects:
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 Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1548-3657
1548-3665
DOI:10.4018/ijiit.2014040101