Gifts Recommendation System Based on the Public Big Data of Social Networks
Yuqi Qi, Baihui Tang, Sanxing Cao · 2020
Gifts play a pivotal role in people's daily life. Some people want to give others gifts, but they don't understand other's preferences. This makes giving gifts a difficult problem. Traditional gift recommendation systems can only recommend gifts when users are known to have certain needs. This does not solve the user's recommendation needs for gifts in scenarios where the user's preferences are unknown. According to this demand, this paper proposes a gifts recommendation system based on the public big data of social networks to solve the problem of users' difficulty in selecting gifts.