Product recommendation for online sales systems based on transaction sessions
The advancement of information technology has influenced and accelerated the growth of many economic fields and industries, including e-commerce. This is one area of information technology that has rapidly developed and gained widespread popularity due to the significant benefits it offers to the c...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Can Tho University Publisher
2024-10-01
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| Series: | CTU Journal of Innovation and Sustainable Development |
| Subjects: | |
| Online Access: | https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1133 |
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| _version_ | 1850185193455878144 |
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| author | Le Bich Tuyen Mai Thanh Hai Nguyen Thanh Dien Tran |
| author_facet | Le Bich Tuyen Mai Thanh Hai Nguyen Thanh Dien Tran |
| author_sort | Le Bich Tuyen Mai |
| collection | DOAJ |
| description |
The advancement of information technology has influenced and accelerated the growth of many economic fields and industries, including e-commerce. This is one area of information technology that has rapidly developed and gained widespread popularity due to the significant benefits it offers to the community. Today, the need for online shopping is increasing because of its convenience and timesaving, especially for busy people. Historical session data plays an important role in helping sales systems recommend orders to customers that suit their personal preferences. This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. The experimental results show that the SVD model has a better rating prediction performance than other techniques. Therefore, it is probably proposed for product recommendations on online sales systems.
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| format | Article |
| id | doaj-art-7501cd6defea413aa7d3263607182f6c |
| institution | OA Journals |
| issn | 2588-1418 2815-6412 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Can Tho University Publisher |
| record_format | Article |
| series | CTU Journal of Innovation and Sustainable Development |
| spelling | doaj-art-7501cd6defea413aa7d3263607182f6c2025-08-20T02:16:49ZengCan Tho University PublisherCTU Journal of Innovation and Sustainable Development2588-14182815-64122024-10-0116Special issue: ISDS10.22144/ctujoisd.2024.318Product recommendation for online sales systems based on transaction sessionsLe Bich Tuyen Mai0Thanh Hai NguyenThanh Dien Tran1FPT Can Tho, Can Tho, Viet NamCan Tho University Journal of Science The advancement of information technology has influenced and accelerated the growth of many economic fields and industries, including e-commerce. This is one area of information technology that has rapidly developed and gained widespread popularity due to the significant benefits it offers to the community. Today, the need for online shopping is increasing because of its convenience and timesaving, especially for busy people. Historical session data plays an important role in helping sales systems recommend orders to customers that suit their personal preferences. This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. The experimental results show that the SVD model has a better rating prediction performance than other techniques. Therefore, it is probably proposed for product recommendations on online sales systems. https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1133Memory-based collaborative filtering, model-based collaborative filtering, online sales systems, transaction sessions |
| spellingShingle | Le Bich Tuyen Mai Thanh Hai Nguyen Thanh Dien Tran Product recommendation for online sales systems based on transaction sessions CTU Journal of Innovation and Sustainable Development Memory-based collaborative filtering, model-based collaborative filtering, online sales systems, transaction sessions |
| title | Product recommendation for online sales systems based on transaction sessions |
| title_full | Product recommendation for online sales systems based on transaction sessions |
| title_fullStr | Product recommendation for online sales systems based on transaction sessions |
| title_full_unstemmed | Product recommendation for online sales systems based on transaction sessions |
| title_short | Product recommendation for online sales systems based on transaction sessions |
| title_sort | product recommendation for online sales systems based on transaction sessions |
| topic | Memory-based collaborative filtering, model-based collaborative filtering, online sales systems, transaction sessions |
| url | https://ctujs.ctu.edu.vn/index.php/ctujs/article/view/1133 |
| work_keys_str_mv | AT lebichtuyenmai productrecommendationforonlinesalessystemsbasedontransactionsessions AT thanhhainguyen productrecommendationforonlinesalessystemsbasedontransactionsessions AT thanhdientran productrecommendationforonlinesalessystemsbasedontransactionsessions |