2020
DOI: 10.46300/9109.2020.14.16
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A novel Based-Approach Composed of Clustering Algorithm & Cosine Similarity for Products Recommendation

Abstract: There are huge tons of transactions being accomplished online every day. This implies that ecommerce is facing the problem of data and information overloads. While customers are shopping via websites, they spend a lot of time to search for the required products based on their needs. This problem can easily be alleviated by having an accurate recommendation system based on a strong algorithm and confident measures in this regard. There are two main techniques for products recommendation; content-based filtering… Show more

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