The Recommending Agricultural Product Sales Promotion Mode in E-Commerce Using Reinforcement Learning with Contextual Multiarmed Bandit Algorithms

Table 1

Features collected by users.

Parameter type	Feature	Description of data
User feature	Sex	Male or female or unfilled
User feature	Year of birth (age)	\A.D.
User feature	Occupation	Occupation type, ex: agriculture, animal husbandry, technology, military, and public education.
User feature	Income	Using level distance, ex: less than 30,000 yuan, 30,000 to 60,000
User feature	Marriage	Ex: married and unmarried
User feature	Education level	Ex: elementary school, middle school, and university
Time variable	Current time	Ex: Morning, afternoon, evening, and early morning
Time variable	Month of date	Ex: January and February
Time variable	Day of the week	Ex: Monday and Tuesday