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Virual Oral Question and Answer
IEEE/ICACT20240453 Question.3
Questioner: cysy@bicol-u.edu.ph    2024-02-01 오전 10:38:05 		IEEE/ICACT20240453 Answer.3
Answer by Auhor carolesonia39@gmail.com   2024-02-01 오전 10:38:05
Can you provide specific examples of how recommendation systems can adapt to changing user behaviors and preferences? Sincerely! By using optimal techniques, recommender systems may adapt to changing user preferences and behaviors. Real-time learning allows users to provide exact feedback on recommendations, enabling rapid modification. If a user dislikes a recommended item, the system can change future suggestions and prevent similar content. Users can update their profiles to reflect preference changes.

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