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Virual Oral Question and Answer
IEEE/ICACT20240453 Question.8
Questioner: jllovido@bicol-u.edu.ph    2024-02-06 오전 11:30:02 		IEEE/ICACT20240453 Answer.8
Answer by Auhor carolesonia39@gmail.com   2024-02-06 오전 11:30:02
In what ways can AI-driven recommendation systems play a role in the continuous evolution of online services? Further, what future trends or developments can we expect in this particular area? AI-driven recommendation systems help online businesses evolve by adjusting to user preferences, boosting personalization, and staying ahead of trends. Future recommendation systems may personalize based on user choices in real-time. Implementing Multiple Data Types: AI-driven recommendation systems may handle photos, audio, and video as technology progresses. Understanding User Context: AI systems may improve in understanding user context. Federated learning trains models on dispersed devices without sharing data.

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