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Computational Thinking - eCommerce under the hood
- 1. Computational Thinking – eCommerce under the hood Mujitha Bai K B WhizThinkers https://whizthinkers.com
- 2. eCommerce / Online Shopping Analytics / Machine Learning / AI Platforms Virtual Agents (Bots) Computational Thinking in eCommerce
- 4. An Overview of Recommendation Systems
- 6. Architecture and Internals - personalized recommendations during online shopping https://aws.amazon.com/personalize/
- 7. How do you get personalized recommendations for movies?
- 8. How online shopping platforms work? (e.g. Amazon eCommerce)
- 9. How a personal assistant or chatbot provides customer support? https://aws.amazon.com/chatbots-in-call-centers/ Example of an Amazon Connect contact center using Amazon Lex for natural conversations Artificial Intelligence (AI) - Using Natural Language Understanding (NLU) and Natural Language Processing (NLP), Amazon Lex bot processes voice or text input in conversation with the end-users https://www.mesalliance.org/2020/01/31/aws-innovations- and-results-strong-again-in-q4-amazon-says/
- 10. How do you get personalized recommendations during online shopping? Personalized recommendations tailor recommendations to users behaviour, preferences, history, boosting user engagement and satisfaction in real-time. Similar item recommendations recommends similar items from your catalog, in real-time, based on user behaviour to create experiences such as - users who watched ‘x’ also watched ‘y’.
- 11. Mujitha Bai K B WhizThinkers https://whizthinkers.com THANK YOU!!
Editor's Notes
- Amazon Personalize enables you to improve customer engagement by powering real-time personalized product and content recommendations, and targeted marketing promotions. Using machine learning, Amazon Personalize creates higher-quality recommendations for your websites and applications. You can get started without any prior machine learning experience using simple APIs to easily build sophisticated personalization capabilities in just a few clicks. Amazon Personalize will process and examine your data, identify what is meaningful, allow you to pick a machine learning algorithm, and train and optimize a custom model based on your data.