关键词: 管理科学与工程, 增量更新机制, Slope One 算法, 用户行为, 实时推荐

Abstract: Set in technology innovation platform, traditional collaborative filtering algorithm which has the problem of lagged recommendation and bad scalability is focused on. According to users’ real-time feedback, incremental update mechanism is introduced, which detaches fixed factor and incremental factor. When the score is changed, only incremental factor needs to be changed, which improves the scalability of the algorithm and reflects the users’ interest change more accurately. The experimental results indicate that the algorithm ensures accuracy of the recommendation and at the same time reduces the recommendation time.

Key words: management science and engineering, incremental updating mechanism, slope one algorithm, user behavior, real-time recommendation