Ontology highlight
ABSTRACT:
SUBMITTER: Hou L
PROVIDER: S-EPMC4194435 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature
Hou Lei L Pan Xue X Guo Qiang Q Liu Jian-Guo JG
Scientific reports 20141013
The mechanism of the online user preference evolution is of great significance for understanding the online user behaviors and improving the quality of online services. Since users are allowed to rate on objects in many online systems, ratings can well reflect the users' preference. With two benchmark datasets from online systems, we uncover the memory effect in users' selecting behavior which is the sequence of qualities of selected objects and the rating behavior which is the sequence of ratin ...[more]