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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...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Zhisheng Yang, Jinyong Cheng
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer 2021-05-01
Saila:International Journal of Computational Intelligence Systems
Gaiak:
Sarrera elektronikoa:https://www.atlantis-press.com/article/125956179/view
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