A Service Recommendation Algorithm based on Similarity Evaluation and Collaborative Filtering
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DOI: 10.23977/cii2019.54
Author(s)
Yun Shi, Peng Qin, Wei Li
Corresponding Author
Yun Shi
ABSTRACT
Aiming at issues, like information inaccuracy and more new information in the web service recommendation algorithm and unsatisfactory effect and the higher computation complexity of the traditional accurate algorithm, SOA system of web service recommendation based on multi-criteria decision-making and simi-larity evaluation has been put forward. The innovation points are as follows: in-cluding firstly establishing the service evaluation system based on SOA structure of hierarchy on the basis of the characteristics of analysis process of the multi-criteria decision-making to solve the defects of AHP method; secondly increas-ing the more scientificity of decision-making of web service with weighted time-varying multi-criteria similarity evaluation algorithm and in the deep considera-tion of criteria weight of each period under the combination of weighted time-varying process; finally verifying the superiority of the proposed algorithm in the accuracy and quality of web service recommendation with the experiment of the web service recommendation data set on the Yahoo domain.
KEYWORDS
Multi-criteria decision-making, Similarity evaluation, Web service, SOA system