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Knowledge-Based Recommendation Systems
International Journal of Intelligent Information Technologies, 2014Knowledge-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.
Bouraga, Sarah +3 more
openaire +2 more sources
Encyclopedia of Database Systems, 2009
The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived ...
Md. Shahriare Satu +6 more
semanticscholar +3 more sources
The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived ...
Md. Shahriare Satu +6 more
semanticscholar +3 more sources
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017
Ming Chen, Xiuze Zhou
semanticscholar +3 more sources
Ming Chen, Xiuze Zhou
semanticscholar +3 more sources
Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey
IEEE Internet of Things Journal, 2022Industrial Internet of Things (IIoT) systems connect a plethora of smart devices, such as sensors, actuators, and controllers, to enable efficient industrial productions in manners observable and controllable by human beings.
Yuanfang Chi +4 more
semanticscholar +1 more source
Science, 1986
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
openaire +3 more sources
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
openaire +3 more sources
A Knowledge-Based Recommendation System That Includes Sentiment Analysis and Deep Learning
IEEE Transactions on Industrial Informatics, 2019Online social networks provide relevant information on users’ opinion about different themes. Thus, applications, such as monitoring and recommendation systems (RS) can collect and analyze this data.
R. L. Rosa +3 more
semanticscholar +1 more source