There are 3 repositories under personalized-recommendation topic.
Neural Graph Collaborative Filtering, SIGIR2019
Disentagnled Graph Collaborative Filtering, SIGIR2020
🌟 국내 스타트업 목록 및 설명 🌟
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)
Personalized Visual Art Recommendation by Learning Latent Semantic Representations
It describes the features of AWS personalize.
A solution build to solve the mental health issues with the help of llm's and community
Movie Recommendation Anytime Anywhere
A demo app to show how the implementation results look like when AWS Personalize is trained with movie lens dataset.
An intuitive movie recommendation system leveraging genre similarity with TF-IDF and cosine similarity for a personalized film discovery experience.
A book search engine with support for title search, author search, and multilingual query and result; results tailored to each user given one's past book ratings and to-read list.
Unleash the Power of Music with Personalized Concert Recommendations.
Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.
Analyzing Temporal, Spatial, and Historical Data in Rating Prediction Algorithms: A Comparative Study
Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library