AI RESEARCH
WARBERT: A Hierarchical BERT-based Model for Web API Recommendation
arXiv CS.AI
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ArXi:2509.23175v2 Announce Type: replace-cross With the rise of Web 2.0 and microservices, the increasing availability of Web APIs has intensified the need for effective recommendation systems. Existing approaches are generally categorized into two methods: recommendation-type methods, which classify APIs using labels, and match-type methods, which retrieve APIs through matching with mashups.