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Toward Intelligent Recommendations Using the Neural Knowledge DNA

Abstract

In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep learning, and the SOEKS technologies, our approach can learn from users’ past behaviors to form reading preference of the user, and reuse learned knowledge for improving the recommendation performance.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
CYBERNETICS AND SYSTEMS no. 52, pages 419 - 428,
ISSN: 0196-9722
Language:
English
Publication year:
2021
Bibliographic description:
Ning G., Wu C., Zhang H., Szczerbicki E.: Toward Intelligent Recommendations Using the Neural Knowledge DNA// CYBERNETICS AND SYSTEMS -Vol. 52,iss. 5 (2021), s.419-428
DOI:
Digital Object Identifier (open in new tab) 10.1080/01969722.2020.1871229
Verified by:
Gdańsk University of Technology

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