2021
DOI: 10.3390/su13137156
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Extrapolative Collaborative Filtering Recommendation System with Word2Vec for Purchased Product for SMEs

Abstract: Many small and medium enterprises (SMEs) want to introduce recommendation services to boost sales, but they need to have sufficient amounts of data to introduce these recommendation services. This study proposes an extrapolative collaborative filtering (ECF) system that does not directly share data among SMEs but improves recommendation performance for small and medium-sized companies that lack data through the extrapolation of data, which can provide a magical experience to users. Previously, recommendations … Show more

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Cited by 10 publications
(3 citation statements)
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“…When the value is 1, it means that the user is a friend; when the value is 0, it means that no friend relationship has been established. (21) (1) x t + W (1)…”
Section: Generation Of Attack Detection Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…When the value is 1, it means that the user is a friend; when the value is 0, it means that no friend relationship has been established. (21) (1) x t + W (1)…”
Section: Generation Of Attack Detection Algorithmsmentioning
confidence: 99%
“…In the face of such a large amount of information, how to save time and effort to find the information you need from this information has become a technical problem. To solve this problem effectively, the recommendation system was born and has been widely used in practise [1,2]. Compared with traditional information search tools, this system can provide users with relevant and interesting information based on historical browsing data, which not only effectively improves the efficiency of information search but also presents the content that users are interested in, thus making many e-commerce enterprises profit [3].…”
Section: Introductionmentioning
confidence: 99%
“…TransformRec is a recommendation system that employs NLP techniques to analyze the relationships among words within the names of products purchased by users and the corresponding merchant names. This system represents an evolution of a previous extrapolative collaborative filtering recommendation model designed for a multi-merchant environment (Lee et al 2021). Unlike earlier models, which were premised on sharing user data and purchase histories across various merchants, TransformRec focuses exclusively on the text data of products and merchant names (Lee et al 2022a).…”
Section: Nlp-based Recommendation Models For Gcimentioning
confidence: 99%