Tourism recommendation based on word embedding from card transaction data

• Published in: Computer Science and Information Systems Vol. 20; no. 3; pp. 911 - 931
• Main Authors: Hong, Minsung, Chung, Namho, Koo, Chulmo
• Format: Journal Article
• Language: English
• Published: 01.06.2023

In the tourism industry, millions of card transactions generate a massive volume of big data. The card transactions eventually reflect customers? consumption behaviors and patterns. Additionally, recommender systems that incorporate users? personal preferences and consumption is an important subject...