Identifying diverse usage behaviors of smartphone apps
Year: 2011
Type: conference-paper
Institutions: University of Michigan, AT&T (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2067481044
