Hi there, recently I did a small study on the question above, just for curiosity. The answers I received, in fact, don’t let me down. In this blog, I will share with you my findings.
Recommender systems (RSs) are software tools and techniques that suggest you what to buy based on your data and other people’s data. More simply, RSs are just like your friends, with a great understanding of you, who are eager to inform you of any products or services that might interest you.
The most common answer is when you have little knowledge and experience for the product of interest. For example, for female who have little knowledge of electronics, they consider recommendations for electronics very useful during online shopping. In contrast, as for males who have low expertise in clothes, they are more likely to perceive recommendations for clothes helpful during online shopping.
Secondly, the use of RSs is said to be useful when people go shopping for special occasions such as Christmas. In my cases, I usually type “Christmas presents for family” in the search bar and go with the recommendations. Moreover, some people in my study said that they find the use of RSs most useful when they don’t remember the names of products. What a brilliant answer, isn’t it? Last but not least, RSs could become useful when you don’t know what to buy. Even though this may sound ridiculous, next time when you have free time, try to check out random recommendations on your favourite e-commerce website. You will not know what you might discover.
TAKE AWAY: The use of RSs most useful when
- Consumers have little knowledge and experience for the product of interest
- Consumers go shopping for special occasions
- Consumers don’t remember the names of products
- Consumers go shopping for fun
What do you think? Don’t hesitate to share your opinions by answering the poll below or leaving your comments under my blog.
PHUONG NGUYEN 