A survey on personality-aware recommendation systems
With the emergence of personality computing as a new research field related to artificial
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
intelligence and personality psychology, we have witnessed an unprecedented proliferation …
[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 …
Predicting the crop yield in agriculture using gradient boosting algorithm in comparison of naive bayes algorithm
N Reddy, T Manimegalai - AIP Conference Proceedings, 2024 - pubs.aip.org
To Using Innovative Gradient Boosting over Naive Bayes Algorithm in Agriculture to Predict
Crop Yield Rate. Materials and Methods: To accurately predict crop yield, the Naive Bayes …
Crop Yield Rate. Materials and Methods: To accurately predict crop yield, the Naive Bayes …
Mining User Personality from Music Listening Behavior in Online Platforms Using Audio Attributes
AP Hridi - 2021 - search.proquest.com
Music and emotions are inherently intertwined. Humans leave hints of their personality
everywhere, and particularly their music listening behavior shows conscious and …
everywhere, and particularly their music listening behavior shows conscious and …