In this paper we propose a novel Mashup-API-Tag model for automatic mashup tag recommendation. The model simultaneously incorporates the composition�...
In this paper we propose a novel Mashup-API-Tag model for automatic mashup tag recommendation. The model simultaneously incorporates the composition�...
A novel Mashup-API-Tag model for automatic mashup tag recommendation that simultaneously incorporates the composition relationships between mashups and APIs�...
TL;DR: This paper obtains the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model and�...
This paper obtains the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic model and�...
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What is probabilistic topic model?
Sep 24, 2018 � In this paper, a novel topic-sensitive approach based on the Factorization Machines for mashup tag recommendation is proposed. We exploit�...
Feb 13, 2018 � In this paper, we exploit various types of relationships as features and propose a novel topic-sensitive approach based on the Factorization�...
Automatic tag recommendation for metadata annotation using probabilistic topic modeling ... A hybrid approach for automatic mashup tag recommendation. Tags�...
Tags have been extensively utilized to annotate Web services, which is beneficial to the management, classification and retrieval of Web service data.
In this approach, we first obtain the latent topics of all tags as well as the description documents for mashups and APIs based on a novel probabilistic topic�...