The goal of this research is figuring out AI recommendation effects on consumer's preference by their types. In this study, two types of consumer's preference are considered including 'category preference' and 'attribute preference', and also types of goods are divided into manufactured products and contents by their properties such as tangibility. Two laboratory experiments will be conducted to test four hypotheses. We expect that this study gives an important message for the effective use of AI recommendation system in e-commerce platforms.N
Artificial intelligence has the powerful ability to acquire and analyze large volumes of data and pr...
Artificial Intelligence (AI) is an area that is fast growing in the business world. It has already b...
Artificial Intelligence (AI) is an area that is Fast growing in the business world. It has already b...
Based on consumers' preferences, AI (artificial intelligence) recommendation automatically filters i...
Previous research suggests that consumers would listen more to product recommendations from other co...
Purpose: The applications of artificial intelligence (AI), natural language processing and machine l...
This study was an investigation into the effect of selected artificial intelligence tools and the co...
With the advent in technology and increased competition among various top brands in the market the i...
This paper investigates the potential of recommendation agents for electronic shopping to influence ...
Consumers can nowadays rely on the support of specific recommendation agents designed to reduce sear...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract— Electronic commerce (E-commerce) has revolutionized the way people shop and interact with ...
On e-commerce platforms, to cope with the problem of information overload, the recommendation system...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guideline...
Artificial intelligence has the powerful ability to acquire and analyze large volumes of data and pr...
Artificial Intelligence (AI) is an area that is fast growing in the business world. It has already b...
Artificial Intelligence (AI) is an area that is Fast growing in the business world. It has already b...
Based on consumers' preferences, AI (artificial intelligence) recommendation automatically filters i...
Previous research suggests that consumers would listen more to product recommendations from other co...
Purpose: The applications of artificial intelligence (AI), natural language processing and machine l...
This study was an investigation into the effect of selected artificial intelligence tools and the co...
With the advent in technology and increased competition among various top brands in the market the i...
This paper investigates the potential of recommendation agents for electronic shopping to influence ...
Consumers can nowadays rely on the support of specific recommendation agents designed to reduce sear...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract— Electronic commerce (E-commerce) has revolutionized the way people shop and interact with ...
On e-commerce platforms, to cope with the problem of information overload, the recommendation system...
Recommender systems represent user preferences for the purpose of suggesting items to purchase or ex...
This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes guideline...
Artificial intelligence has the powerful ability to acquire and analyze large volumes of data and pr...
Artificial Intelligence (AI) is an area that is fast growing in the business world. It has already b...
Artificial Intelligence (AI) is an area that is Fast growing in the business world. It has already b...