In our previous post, we showed you how to use image recognition to solve the issue of misattribution in e-commerce catalogs. Once you start to trust your models and have trained them to detect a valuable amount of attributes, it is easy to expand from attribute verification to auto tagging.
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Detecting and correcting e-commerce catalog misattribution with image and text classification using Google TensorFlow
In our previous post, we discussed the impact of product misattribution in e-commerce and how image recognition with Machine Learning can be an important tool to resolve this issue.
Developments in Image Recognition Machine Learning can improve E-commerce catalog quality, search-ability and tailor user experience to individual customers.
Companies like Google, Amazon, Apple, IBM, and Microsoft, along with an ever-increasing array of AI startups, have been gradually perfecting Conversational User Interfaces (CUIs) that allow people to interact with computers in natural language.