Siljanoska, Teodora and Blazheska-Tabakovska, Natasha (2024) Upgrading Traditional E-Commerce Systems with A Knowledge- Based Recommendation System. In: 14th International Conference on Applied Internet and Information Technologies AIIT 2024, 8 November, 2024, Zrenjanin, Serbia..
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Abstract
In today’s e-commerce, there is a need for intelligent recommendation systems to help consumers choose products. This paper presents an upgrade to traditional e-commerce systems by implementing a knowledge-based recommendation system. The focus is on collaborative filtering, which uses data on consumer preferences to provide personalized product suggestions. A user-user collaborative filtering algorithm is applied, which groups users according to similarities in their choices and suggests products that are popular among consumers with similar preferences.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
Divisions: | Faculty of Information and Communication Technologies |
Depositing User: | Mrs Natasha Blazheska-Tabakovska |
Date Deposited: | 26 May 2025 16:18 |
Last Modified: | 26 May 2025 16:18 |
URI: | https://eprints.uklo.edu.mk/id/eprint/10736 |
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