Memory effect of the online user preference

• DOI: 10.1038/srep06560
• Publication Date: 2014-10-13T09:01:54Z
• Authors: Lei Hou; Xue Pan; Qiang Guo; Jian-Guo Liu
• Keywords: Benchmark (surveying); Sequence (biology)

The mechanism of the online user preference evolution is great significance for understanding behaviors and improving quality services. Since users are allowed to rate on objects in many systems, ratings can well reflect users' preference. With two benchmark datasets from we uncover memory effect selecting behavior which sequence qualities selected rating delivered by each user. Furthermore, duration presented describe length a memory, exhibits power-law distribution, i.e., probability occurring long-duration much higher than that random case follows exponential distribution. We present model Markovian process utilized depends behavior. only one parameter user's behavior, could regenerate any distribution ranging form (strong memory) (weak memory).