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A Service Recommendation Algorithm based on Knowledge Graph and Collaborative Filtering
2021
IEEE Access
With the rapid development of the Internet, the number of Web APIs is increasing. How to recommend accurate and appropriate Web APIs to mashups has become a focus and difficulty in the field of service computing. The existing methods are mainly based on collaborative filtering technology, but these methods have problems such as the data sparsity and cold start, which leads to poor recommendation effects. This paper proposes a service recommendation model based on knowledge graph and
doi:10.1109/access.2021.3068570
fatcat:w2kcqqdomva3xggychtdprhlze