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Example notebooks that illustrate how to generate knowledge-based features. Features can be used in a variety of ML models, including recommender systems.

Implementations of Influential Recommender System

This repo is a tf implementation of "Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems" (SIGIR 2023).

Projet d'étude système de recommendation en utilisant filtrage collaboratif

Knowledge Graph-based Intelligent Recommender System for Traditional Chinese Medicine

Official MLCC implementation for the paper “Compress, Cross, and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems”.

Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).

A tensorflow implementation of our www2020 paper "LightRec: a Memory and Search-Efficient Recommender System".

Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)

Code and data for the ACM CIKM 2024 paper "Adversarial Text Rewriting for Text-aware Recommender Systems"