Must-read Papers for Recommender Systems (RS)
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Updated
Mar 24, 2021
Must-read Papers for Recommender Systems (RS)
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
A curated list of awesome graph & self-supervised-learning-based recommendation.
Complexly represent contents, build recommender systems, evaluate them. All in one place!
A graph-based citation network for paper recommender engine
Graph based recommender system using FAISS for e-commerce depending on purchase and search history.
2022 k-deep fashion Pinsage recommendation system
2022 k-deep fashion GraphRec recommendation system
This repository provides a reference implementation of gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items (AAAI 2018).
FrameFinderLE is an advanced image and video frame retrieval system that enhances CLIP's image-text pairing with hashtag refinement and user feedback, offering an intuitive search experience.
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