Dynamic context management in context-aware recommender systems

Waqar Ali, Jay Kumar, Cobbinah Bernard Mawuli, Lei She, Jie Shao

Abstract: Highlights•A novel technique captures evolving behavior of contextual attributes for context-aware recommendation.•Dynamic context management utilizes a modified form of the Minkowski distance for candidate generation.•Advantageous for highly sparse e-commerce applications, especially for streaming environments.•Evaluation on three diverse datasets highlights the significance of the proposed method.