DeepCARSKit: A deep learning based context-aware recommendation library
Yong Wei Zheng · Software Impacts · 2022
Recent development in recommender systems has demonstrated the effectiveness of deep learning in recommendation algorithms. There are several existing open-source libraries for recommendation research, but not in the area of context-aware recommendations using deep learning. Therefore, we develop and release DeepCARSKit which is an open-source and deep learning based context-aware recommendation library. DeepCARSKit supports evaluations specifically designed in context-aware recommender systems, and it provides a standard platform for researchers to develop, execute and evaluate different context-aware recommendation models based on deep learning.