caa a22 4500 606228721 CHVBK 20210128101205.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10796-014-9495-4 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9495-4 Collaborative personal profiling for web service ranking and recommendation [Elektronische Daten] [Wenge Rong, Baolin Peng, Yuanxin Ouyang, Kecheng Liu, Zhang Xiong] Web service is one of the most fundamental technologies in implementing service oriented architecture (SOA) based applications. One essential challenge related to web service is to find suitable candidates with regard to web service consumer's requests, which is normally called web service discovery. During a web service discovery protocol, it is expected that the consumer will find it hard to distinguish which ones are more suitable in the retrieval set, thereby making selection of web services a critical task. In this paper, inspired by the idea that the service composition pattern is significant hint for service selection, a personal profiling mechanism is proposed to improve ranking and recommendation performance. Since service selection is highly dependent on the composition process, personal knowledge is accumulated from previous service composition process and shared via collaborative filtering where a set of users with similar interest will be firstly identified. Afterwards a web service re-ranking mechanism is employed for personalised recommendation. Experimental studies are conduced and analysed to demonstrate the promising potential of this research. Springer Science+Business Media New York, 2014 Web service nationallicence Discovery nationallicence Personalisation nationallicence Ranking nationallicence User group nationallicence Association rule nationallicence Rong Wenge State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut Peng Baolin School of Computer Science and Engineering, Beihang University, 100191, Beijing, China aut Ouyang Yuanxin State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut Liu Kecheng Informatics Research Centre, University of Reading, RG6 6UD, Reading, UK aut Xiong Zhang State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1265-1282 1387-3326 17:6<1265 2015 17 10796 https://doi.org/10.1007/s10796-014-9495-4 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/s10796-014-9495-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rong Wenge State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Peng Baolin School of Computer Science and Engineering, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Ouyang Yuanxin State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 700 1- Liu Kecheng Informatics Research Centre, University of Reading, RG6 6UD, Reading, UK aut NATIONALLICENCE 700 1- Xiong Zhang State Key Laboratory of Software Development Environment, Beihang University, 100191, Beijing, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1265-1282 1387-3326 17:6<1265 2015 17 10796