recommender-system

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.

ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation

Serverless, lightweight, and fast vector database on top of DynamoDB

Content based recommender system for books using NLP.

A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering

WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability, IEEE TMM

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

The source code for our Paper: ''Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities''.