Summary of Recommendation Algorithm Research
Jie Yan, Qingtao Zeng, FuQian Zhang · Journal of Physics Conference Series · 2021
Abstract In order to solve the problem of information overload caused by the rapid expansion of information, it is particularly difficult for users to select the information they are interested in when faced with massive amounts of information. Traditional search has some drawbacks and cannot solve the problem of information overload. The recommendation algorithm provided by the recommendation system is a good strategy to deal with. This article mainly introduces two recommendation algorithms and their principles, content-based recommendation algorithms and collaborative filtering-based recommendation algorithms. And their advantages and disadvantages are compared.