Work

Predicting Restaurant Consumption Level through Social Media Footprints

Year: 2016
Type: conference-paper
Institution: Peking University
Language: English
Subfield: Marketing
Open Access status: closed
OpenAlex ID: W2576052320
FWCI:
Cites: 46
Cited by:
Related to: 10