Department of psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China.
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang Province, China.
PLoS One. 2019 Apr 24;14(4):e0215819. doi: 10.1371/journal.pone.0215819. eCollection 2019.
Previous studies showed that individuals' traits could be used to explain the similarity of behavioral patterns across different occasions. Such studies have typically focused on personality traits, and have not been extended to psychological needs. Our study used a large dataset of 1,715,078 anonymous users' App usage records to examine whether the individual's needs-based profiles of App usage were consistent across different situations (as indexed by categories of App functions). Results showed a high level of consistency across situations in a user's choice of Apps based on the needs the Apps could satisfy. These results provide clear evidence in support of cross-category App recommendation systems.
先前的研究表明,个体的特质可以用来解释不同场合下行为模式的相似性。这些研究通常集中在人格特质上,而没有扩展到心理需求。我们的研究使用了一个包含 1715078 个匿名用户应用程序使用记录的大型数据集,来检验个体基于需求的应用程序使用模式在不同情境下(以应用程序功能类别为指标)是否一致。结果表明,用户基于应用程序可以满足的需求来选择应用程序,在不同情境下具有高度的一致性。这些结果为跨类别应用程序推荐系统提供了明确的证据支持。