用人工智能欣赏宫殿:强化学习的胜利在制作个性化的餐饮计划中获得了高用户接受度
Maryam Amiri1, Fatemeh Sarani Rad1, Juan Li1
1Department of Computer Science, North Dakota State University, Fargo, ND 58105, USA.
Nutrients
|February 10, 2024
概括
本研究介绍了CFRL,这是一种结合强化学习 (RL) 和协作过 (CF) 的新型算法,用于个性化的餐饮计划. 通过适应个人的饮食习惯和偏好,CFRL提高了用户的坚持,提高了满意度和营养结果.
科学领域:
- 人工智能的人工智能
- 计算机科学 计算机科学
- 营养科学 营养科学
背景情况:
- 个性化的餐饮计划面临挑战,原因在于各种因素,如口味,文化和健康.
- 现有的系统往往因为缺乏个性化和适应生活方式而遭受用户不良的坚持.
- 识别和整合潜在用户的饮食模式对于有效的饮食计划遵守至关重要.
研究的目的:
- 开发一种先进的算法 (CFRL),将强化学习 (RL) 和协作过 (CF) 整合在一起,以提高个性化的餐饮计划.
- 通过动态地适应个人的饮食习惯和偏好来提高用户的坚持和满意度.
- 在饮食建议中,除了针对用户的具体因素外,还要考虑营养和健康方面的考虑.
主要方法:
- 开发了CFRL算法,将强化学习 (RL) 与协作过 (CF) 合并.
- 在基于CF的框架内,利用马尔科夫决策流程 (MDP) 进行交互式餐点建议.
- 实施了一种基于多标准决策 (用户评分,偏好,营养数据) 的新型奖励塑造机制.
主要成果:
- 与四种基线方法相比,CFRL在关键指标上表现优越.
- 该算法有效地揭示了隐藏的用户饮食习惯,从而提高了坚持.
- 通过个性化的饮食计划,在用户满意度和营养充足度方面取得了显著的改善.
结论:
- 将强化学习 (RL) 和协作过 (CF) 结合起来,为个性化的餐饮计划提供了实质性的进步.
- 该CFRL算法提供多功能,用户特定的饮食计划,解决多种饮食维度.
- 与传统的餐饮计划系统相比,这种方法显著提高了用户的接受度和遵守度.
相关概念视频
01:06Law of Effect
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B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
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01:23Reinforcement
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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
208
01:24Reinforcement Schedules
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Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
Once a behavior is learned,...
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01:22Purposive Learning
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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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01:08Timing and Consequences on Behavior
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In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective.
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
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01:21Cognitive Learning
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
243