![]() The algorithm makes recommendations by first identifying the product’s features essential to a customer. Thus, this research aims to create a recommender system that uses online customer reviews in the IoT framework to match the attributes of a product important to the shopper. ![]() However, this approach faces a cold start problem and is not suitable for one-time transactions. Many companies use the collaborative filtering algorithm and provide suggestions based on other consumers’ choices, like the active user. With the tremendous increase in product alternatives these days, many businesses rely heavily on recommender systems to limit the number of options they display to their customers on the front end.
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