A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

A Large-scale Multimodal Dataset for recommender System

End-to-end Training for Multimodal Recommendation Systems

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

A repository listing important datasets for multimodal recommender systems

A Hierarchical Attention Model for Social Contextual Image Recommendation, TKDE2019

This repository contains the source code for a Flutter app that can recommend images to users. The app uses a machine learning model to predict which images a user is likely to like. The app is easy to use and has a user-friendly interface.

AI-powered fashion recommendation engine built with TensorFlow (CNN) and spaCy (NLP). It analyzes user preferences (age, gender, event, size, climate, budget, etc.) and recommends matching clothing items (top & bottom) with personalized recommendations. Exposes REST APIs via Flask for predictions, entity extraction, and image serving.

Image Recommendation system for different users using Collaborative Filtering.

This is the front end of a web application displaying furnitures and use image classification model to recognize the input image, recommendation system to recommend top 10 furnitures with the same category and the same style.

This repository contains tools and algorithms for building a recommendation system based on image data.