[PDF][PDF] Personality-Based Matrix Factorization for Personalization in Recommender Systems.
Recommender systems are one of the most used tools for knowledge discovery in
databases, and they have become extremely popular in recent years. These systems have …
databases, and they have become extremely popular in recent years. These systems have …
OP-K-Means: Optimized algorithm for recommendation system based on user preferences
F Zuo, U Siniauski, H Yang… - Journal of Physics …, 2022 - iopscience.iop.org
For a recommender system (RS), it is difficult to capture all the user's interest lists
simultaneously, which leads to the problem of insufficient performance of the existing joint …
simultaneously, which leads to the problem of insufficient performance of the existing joint …
[PDF][PDF] PROMOTION OF ACTIVE AGING THROUGH A RECOMMENDATION SYSTEM BASED ON MULTIMEDIA CONTENT
DMM ANTÃO - 2023 - core.ac.uk
Due to the increase in life expectancy, promotion of active aging has become a raising
concern for human society. Machine Learning applications allow for dynamic and …
concern for human society. Machine Learning applications allow for dynamic and …