A sequence-based filtering method for exhibition booth visit recommendations
We introduce a real-time recommendation method that uses temporal sequences of data. A real exhibition data set is collected and used for validation. The proposed method performs better than the collaborative filtering technique. The proposed method increases recommendation accuracy, efficiency, and diversity.
recommender system personalization data mining