Insights about the nature of the Art search process come to light through information collected from Art Boulevard

A very interesting research study concerning  the nature of the Art search process based on quantitative data collected through the Art Boulevard platform and analyzed through Machine Learning techniques was published.

 

The article title is "Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques" and has been published in MDPI's Analytics  Open Access Journal.

 

The complete publication is available here:

 

 

You may find example citations below:

 

AMA Style

Pergantis M, Kouretsis A, Giannakoulopoulos A. Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques. Analytics. 2023; 2(2):359-392. https://doi.org/10.3390/analytics2020021

Chicago/Turabian Style

Pergantis, Minas, Alexandros Kouretsis, and Andreas Giannakoulopoulos. 2023. "Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques" Analytics 2, no. 2: 359-392. https://doi.org/10.3390/analytics2020021