DeepCARSKit: A Demo and User Guide
Yong Zheng · 2022
Context-aware recommender systems were proposed and built to adapt the recommendations to different context situations. With the development of deep learning based recommendation techniques, the neural network models have also been utilized to improve the quality of the context-aware recommendations. Recently, we released the DeepCARSKit library which is an open-source and deep learning based library for context-aware recommendations. It provides a unified platform for implementing and evaluating context-aware recommendation models based on neural networks. This paper provides a short summary of the DeepCARSKit library, and delivers a user guide to help better use and evaluate the library.