Service Recommendation for Mashup Creation Based on Time-Aware Collaborative Domain Regression

Abstract

Mash up has emerged as a promising way to compose web APIs and create value-added compositions. The increasing of APIs demands more accurate recommendation algorithms. However, service domain evolution, mash up-side cold-start and information evaporation are somehow overlooked by existing work. In this paper, by extending the collaborative topic regression… (More)
DOI: 10.1109/ICWS.2015.37

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