WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering

Abstract

Due to the rapid growth in both the number and diversity of Web services on the web, it becomes increasingly difficult for us to find the desired and appropriate Web services nowadays. Clustering Web services according to their functionalities becomes an efficient way to facilitate the Web services discovery as well as the services management. Existing… (More)
DOI: 10.1109/ICWS.2017.9

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Cite this paper

@article{Shi2017WELDAAW, title={WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering}, author={Min Shi and Jianxun Liu and Dong Zhou and Mingdong Tang and Buqing Cao}, journal={2017 IEEE International Conference on Web Services (ICWS)}, year={2017}, pages={9-16} }