| Popis: |
Personalized recommendation means that the system recommends information and products that users are interested in based on the user’s interest characteristics and purchase behavior. Aiming at the timeliness of the user’s implicit feedback data, this paper uses the Sigmoid function and exponential weighted average to calculate the user’s implicit feedback data, and converts the implicit feedback data into the user’s preference for goods, then combine with the user-based collaborative filtering algorithm to obtain a recommendation list that meets the user’s preferences, and complete personalized recommendations for user interests. |
