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- W3048452062 abstract "Recommender system has been developed as a useful tool especially when we reached the era of big data and in the meanwhile the internet has been overwhelming with lots of choices. There is a need for people to filter the information to search for their needs and wants efficiently. E-commerce website such as Amazon and Netflix have been using recommender system to build and boost their sales through the personalization recommendation. With the success in the e-commerce area, researchers are keen on finding a method to boost traditional offline retailer sales thru the recommender system. Therefore, in this paper, we introduced the existing recommender system and discuss the method of filtering of each method. Then, we provide the overview of the recent paper in retailer and e-commerce domain to provide the insight and trends such as the filtering techniques and evaluation metric used. Several possible research direction has been discussed based on the current trends and problems." @default.
- W3048452062 created "2020-08-18" @default.
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- W3048452062 date "2020-06-22" @default.
- W3048452062 modified "2023-09-26" @default.
- W3048452062 title "Recommender System for Retail Domain" @default.
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- W3048452062 doi "https://doi.org/10.1145/3408066.3408101" @default.
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