抖音最近发布的 Paper 《Interest Clock: Time Perception in Real-Time Streaming Recommendation System》中,发现用户的偏好是动态的并且随时间波动。例如,在短视频平台中,用户可能会在早上喜欢新闻视频,而在晚上则喜欢娱乐视频。在音乐平台上,用户喜欢早上听DJ,晚上听催眠音乐。因此,使推荐模型能够感知时间信息,为用户提供时间感知的个性化服务,从而显着改善用户体验非常重要。
When faced with multiple uncertain options, list them separately and consider factors such as man hours, difficulty, degree of liability, and length of time for future support. Quantify and use indicators to assess