Bridging the trust gap: Leveraging Explainable AI for personalized E-Commerce Recommendations


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Project Team : 121AD0020 - Gumma Sri Sougandhika (121ad0020@iiitk.ac.in) 121AD0049 - S Hari Sai Ganesh (121ad0049@iiitk.ac.in)

Most e-commerce platforms have recommendation systems. However, these systems often lack an understanding of who the user is or their level of knowledge. Simply providing age as input does not define one’s interpretability, highlighting the need for more understandable and user-oriented systems.

There is limited research on product recommendation systems using Explainable Artificial Intelligence (XAI). Our study aims to integrate XAI techniques into product recommendation systems. Gaining user trust is challenging with conventional recommendation systems. With our modified system, we will create a more user-friendly interface that offers recommendations along with explanations, enhancing trust and transparency. This approach also aims to improve users’ digital literacy, allowing them to learn alongside their purchases.

We achieve this by leveraging multiple XAI techniques in recommendations to ensure they are understandable by a wide range of users or customers.

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