caa a22 4500 606158901 CHVBK 20210128100622.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00521-014-1704-z doi (NATIONALLICENCE)springer-10.1007/s00521-014-1704-z Correlation consistency constrained matrix completion for web service tag refinement [Elektronische Daten] [Lei Chen, Geng Yang, Zhengyu Chen, Fu Xiao, Jianyue Shi] 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. The Natural Computing Applications Forum, 2014 Web service nationallicence Matrix completion nationallicence Tag refinement nationallicence Correlation consistency nationallicence Operator splitting nationallicence Chen Lei School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut Yang Geng Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut Chen Zhengyu School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut Xiao Fu School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut Shi Jianyue School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut Neural Computing and Applications Springer London 26/1(2015-01-01), 101-110 0941-0643 26:1<101 2015 26 521 https://doi.org/10.1007/s00521-014-1704-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1704-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Lei School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Yang Geng Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Chen Zhengyu School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Xiao Fu School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut NATIONALLICENCE 700 1- Shi Jianyue School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, People's Republic of China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/1(2015-01-01), 101-110 0941-0643 26:1<101 2015 26 521