A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing

Table 4

Experimental results.

Algorithm	Precision rate	Recall rate	F1 value
Traditional content-based recommendation	0.322	0.215	0.258
Traditional collaborative filtering recommendation	0.399	0.266	0.319
Personalized collaborative filtering recommendation based on knowledge graph	0.605	0.403	0.484
Proposed group recommendation based on knowledge graph and LSTM in edge computing	0.679	0.453	0.543