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Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks

Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks

Ammar Alnahhas, Bassel Alkhatib
Copyright: © 2020 |Volume: 14 |Issue: 3 |Pages: 19
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781799805335|DOI: 10.4018/IJCINI.2020070101
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MLA

Alnahhas, Ammar, and Bassel Alkhatib. "Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks." IJCINI vol.14, no.3 2020: pp.1-19. http://doi.org/10.4018/IJCINI.2020070101

APA

Alnahhas, A. & Alkhatib, B. (2020). Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 14(3), 1-19. http://doi.org/10.4018/IJCINI.2020070101

Chicago

Alnahhas, Ammar, and Bassel Alkhatib. "Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 14, no.3: 1-19. http://doi.org/10.4018/IJCINI.2020070101

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Abstract

As the data on the online social networks is getting larger, it is important to build personalized recommendation systems that recommend suitable content to users, there has been much research in this field that uses conceptual representations of text to match user models with best content. This article presents a novel method to build a user model that depends on conceptual representation of text by using ConceptNet concepts that exceed the named entities to include the common-sense meaning of words and phrases. The model includes the contextual information of concepts as well, the authors also show a novel method to exploit the semantic relations of the knowledge base to extend user models, the experiment shows that the proposed model and associated recommendation algorithms outperform all previous methods as a detailed comparison shows in this article.