It consists of an expert system in charge of driving the filtering process in cooperation with a knowledge-based model. Neural networks are used to model all ...
An artificial intelligent approach to information filtering problem that consists of an expert system in charge of driving the filtering process in ...
It consists of an expert system in charge of driving the filtering process in cooperation with a knowledge-based model. Neural networks are used to model all ...
This research aims to bridge the gap between marketing and computer science by investigating the moderating effects of consumer knowledge (expertise)
Knowledge based Recommender System: This type of recommender system attempts to suggest objects based on inferences about a user's needs and preferences.
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Nov 1, 2020 · This position paper systematically discusses the basic methodologies and prevailing techniques in recommender systems and how AI can effectively improve the ...
Jun 10, 2019 · Our review compares the strengths and drawbacks of existing machine learning approaches and the open research problems in spam filtering.
May 20, 2024 · Recommendation systems, often known as recommender systems, are a type of information filtering system that attempts to forecast the “rating” or “preference”
In this paper, we originally propose an interactive, knowledge-based design recommender system (IKDRS) for relevant personalised fashion product design schemes.
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A second approach, called collaborative filtering [4], recommends items that received good ratings from similar users. Finally, knowledge-based recommendation ...