Neural Graph Collaborative Filtering, SIGIR2019
Disentagnled Graph Collaborative Filtering, SIGIR2020
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"
personalized 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
MoodRiser is a web application created during a 24-hour hackathon at the CodeForAll Fullstack Programming Bootcamp. Utilizing HTML, CSS, JavaScript, Python with Flask, and various APIs including Spotify and Google Books, and OpenAI, this SPA helps users manage their emotions through personalized content recommendations based on their current mood.
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.
Movie Recommendation Anytime Anywhere
Unleash the Power of Music with Personalized Concert Recommendations.
In this project, we have explored the research paper titled Variational Autoencoders for Collaborative Filtering and implemented its findings. We aim to further improve upon the proposed methodology to contribute to the advancement of personalized recommendations and push the boundaries of existing techniques.
Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library
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.
Analyzing Temporal, Spatial, and Historical Data in Rating Prediction Algorithms: A Comparative Study
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