The rapid development of the internet has profoundly transformed human lifestyles, with particularly notable impacts on consumer behavior. Consumers no longer rely solely on personal experience or merchant introductions for decision-making, but instead obtain substantial third-party evaluations and information through online platforms. The reputation of a business now predominantly stems from authentic consumer feedback rather than self-promotion by merchants. Consequently, internet-based rating systems have emerged as a novel and widely influential consumption guidance mechanism.
CnOpenData has systematically organized YELP's online review data of U.S. merchants, comprising five core datasets: business information table, user review table, user profile table, user check-in table, and tip information table. These interconnected datasets utilize merchant IDs and user IDs as relational keys, establishing a comprehensive internet consumption information network to facilitate related research.
Time Range
2022
Field Description
Sample Data
Merchant Information Table
User Review Table
User Profile Table
User Check-in Table
Tip Information Table
Relevant Literature
- Luca, Michael, Reviews, Reputation, and Revenue: The Case of Yelp.Com (March 15, 2016). Harvard Business School NOM Unit Working Paper No. 12-016, Available at SSRN: https://ssrn.com/abstract=1928601 or http://dx.doi.org/10.2139/ssrn.1928601
Data Update Frequency
No updated