A tourist attraction recommendation algorithm based on the integration of user life cycle and adaptive time
This paper proposes a personalized recommendation algorithm that combines the weights of user lifetime and adaptive time in tourist attraction recommendations, aiming at the problems of dynamic changes in user interests, significant influence of time context, and data sparsity in collaborative filtering. First, users a...