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Correlation consistency constrained matrix completion for web service tag refinement

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Abstract

With the permeation of web 2.0, large-scale web services with tags are easily available on websites. However, the noisy and incomplete correspondence between web services and tags impedes the tag related web service applications. To address this challenge, a Matrix Completion based Web Service Tag Refinement (MCWSTR) framework is proposed. Firstly, the MCWSTR framework naturally formulates the web service tag refinement problem as a Correlation Consistency Constrained Matrix Completion (C3MC) problem, which jointly model content correlation consistency and tag correlation consistency among web services and tags. Secondly, the MCWSTR framework employs an efficient Fixed Point Iterative algorithm based on Operator Splitting technique to solve the C3MC problem, Experimental results on the real-world web services collection show the encouraging performance of our proposed MCWSTR framework.

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Acknowledgments

This work is supported by the National Natural Science Foundation (grant numbers 61272084, 61201163, 61272422 and 61373137); the Natural Science Foundation of Jiangsu Province (grant numbers BK2011754, BK20130096); the Key University Natural Science Research Program of Jiangsu (grant number 11KJA520002) and the Research Fund for the Doctoral Program of High Education (grant numbers 20113223110003, 20093223120001).

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Correspondence to Lei Chen.

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Chen, L., Yang, G., Chen, Z. et al. Correlation consistency constrained matrix completion for web service tag refinement. Neural Comput & Applic 26, 101–110 (2015). https://doi.org/10.1007/s00521-014-1704-z

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  • DOI: https://doi.org/10.1007/s00521-014-1704-z

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