Abstract:

According to the problem of high computational complexity and cost in network recommended for traditional Mashup service recommendation, the authors proposed the semi\|supervised ISHC hierarchy description based Mashup service clustering alogrithm. Firstly, the climbing tools were used to collect ProgrammableWeb Mashup service information, and the suffix stripping algorithm was used to modify the Mashup service label with noun form, which was used as the research and analysis data sets. Secondly, in order to improve the accuracy of clustering algorithm, an implantable semi supervised hierarchical clustering algorithm was proposed, to effectively prevent the hierarchical clustering algorithm topping set classification from failure to influence the Mashup service recommendation algorithm accuracy by implantating the core set approach of hierarchical clustering algorithm. The simulation results show that the recommendation accuracy of implantable semi supervised hierarchical clustering algorithm is better than that of comparison algorithm in Mashup services recommendation, which verifys the effectiveness of the proposed algorithm.

Key words: hierarchical clustering, Mashup service, tag