GoGet - A Digical Shop Recommendation System to empower Retailers using Machine Learning
2021 International Conference on Forensics, Analytics, Big Data, Security (FABS)(2021)
摘要
Small and Local shopkeepers with modest profits do not have the resources to fight against supermarkets and online vendors. They do not have the technological front or the convenience. On the other hand Owing to the lack of inventory checks, the customers might wait for a significant amount of time to get their desired commodity. If the shop does not have the item, they must travel to the next shop, wasting time.To address this problem, this paper proposes a framework that provides the best local shop recommendation to help customers to purchase their necessary commodities locally (which is combination of digital + local = digical). The proposed framework is implemented using flutter for mobile devices. This application is uses Machine Learning algorithm for recommendation tasks. The proposed method is tested using the real time data and the results are promissing with good 95% accuracy and 5% error rate in recommendation.
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关键词
k-nearest neighbors algorithm (k-NN),Machine Learning,Shop Recommendation
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