Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)
We consider how a user of a web service can build their own recommender system. Many recommender systems on the Internet are still unfair/undesirable for some users, in which case the users need to leave the service or unwillingly continue to use the system. Our proposed concept, private recommender systems, provides a way for the users to resolve this dilemma. Paper: https://arxiv.org/abs/2105.12353 💿 Dependency $ pip install -r requirements.txt $ sudo apt install wget unzip 🗃️ Download and Preprocess Datasets […]
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