Is this a scenario that would work well for a ML/Pattern Recognition Model or would it be easier/faster to just filter from a large DB. I am looking to create a system that will allow users to identify the appropriate product by specifying certain constraints and preferred features...
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Product image classification using Eigen Colour feature with ensemble machine learningThe plethora of e-commerce products within the last few years has become a serious challenge for shoppers when searching for relevant product information. This has consequently led to the emergence of a recommendation ...
Contrastive learning has shown great results in image classification. It is primarily applied for semi-supervised or unsupervised representation learning. Contrastive learning has recently shown high accuracy results in supervised environments where full...
ClassificationThe article deals with usability of clustering and machine learning classification algorithm for search systematic surface errors. The main idea is to propose a methodology for the automated identification, diagnostics and localization of systematic errors in mass production. The introduced ...
There will also be a term called augmented PIM meaning using Machine Learning and Artificial Intelligence to improve product data quality. In fact, classification of products using AI has been an early use case of AI in data management. This use case will be utilized more and more besides othe...
data-mining r machine-learning-algorithms clustering-algorithm apriori-algorithm knn-classification ggplot elbow-method customer-segmentation product-recommendation knn-clustering Updated Oct 24, 2024 R Likitha7052005 / Ecommerce-Product-Recommendation-system Star 0 Code Issues Pull requests Product...
In this paper we systematically compare different machine learning algorithms in the framework of a supervised classification task. We find that the statistical properties of the export data, namely the strong auto-correlation and the class imbalance, imply that the appearance, or activation, of new...
► Definition and classification of knowledge and knowledge representation. ► Review of the evolution of the role of knowledge representation in product design. ► Review of computational tools for knowledge representation in research and industry. ► Technology convergence and their potential effect...
Opinion mining based on fuzzy domain ontology and Support Vector Machine: A proposal to automate online review classification Applied Soft Computing, Volume 47, 2016, pp. 235-250 FarmanAli, …,Yong-GiKim Mining user requirements to facilitate mobile app quality upgrades with big data ...