[Retracted] Research on Students’ Adaptive Learning System Based on Deep Learning Model

Table 1

Comparison of the commonly used recommendation algorithms.

Recommended technology	Advantages	Disadvantages
Recommendation algorithm based on popularity	Simple and easy to operate, without the problem of cold start	Unable to make personalized recommendations
Collaborative filtering recommendation algorithm	Simple and easy to implement, with high recommendation accuracy	Too much reliance on user ratings; cold start; low project coverage
Content-based recommendation algorithm	No cold start problem	The recommended content is relatively simple
Model-based recommendation algorithm	Fast and accurate, especially suitable for high real-time business	Models need to be maintained frequently