AdaBoost Algorithm for Marketplace Product Similarity Detection

The marketplace is a platform that has a duty as an intermediary between sellers who want to sell and buyers who want to buy a product with an online transaction process. So a marketplace website only acts as a third party in handling product transactions in terms of ordering products and several online payment methods provided by the marketplace. It can be seen in several marketplaces such as Shopee, Lazada, Tokopedia, and so on. Of course, they have a lot of products, for example, clothing, staple foods, electronic devices, and many others. With so many products in a marketplace, of course, many products look the same but users or buyers often or don't even know that one product and several other products are the same. In this study, the author uses a product similarity dataset and uses the AdaBoost algorithm to get high classification results. In the dataset used, to classify, the author uses product titles and images which will later be used to distinguish one product from another. For the classification results using the AdaBoost algorithm, an accuracy of 91.81% is obtained, with the accuracy of the score, which means that the model developed by the author has a very good performance in detecting product similarities based on product titles and images in a marketplace.