Recommendation Algorithm Based on Knowledge Graph to Propagate User Preference
In recommendation algorithms, data sparsity and cold start problems are inevitable. To solve such problems, researchers apply auxiliary information to recommendation algorithms, mine users’ historical records to obtain more potential information, and then improve recommendation performance. In this...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-05-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125956179/view |