Yanmei Zhang1, Xiao Geng2, Shuiguang Deng3
Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 513-525, 2019, DOI:10.31209/2019.100000108
Abstract With the development of service computing technologies, the online services
are massive and disordered now. How to find appropriate services quickly and
build a more powerful composed service according to user interests has been a
research focus in recent years. Current service recommendation algorithms
often directly follow the traditional recommendation framework of ecommerce,
which cannot effectively assist users to complete dynamic online business
construction. Therefore, a novel service recommendation approach named
UISCS (User-Interest- initial Services-Correlation-successor Services) is
proposed, which is designed for interactive scenario of service composition, and
it mines the user implicit interests and the service correlations for service… More >
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