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Novel recommendation system based on long‐term composition for adaptive web services
Computational Intelligence ( IF 1.8 ) Pub Date : 2020-03-17 , DOI: 10.1111/coin.12309
P Kirubanantham 1 , G Vijayakumar 2
Affiliation  

In the era of digital web services, composition of features on the fly is inevitable. The Long‐term Composed Service (LCS) entertains the composition of features to any extent, since it has an open‐ended lifetime. In the proposed research work, we have intended to provide service support to run the business toward a long time commitment. Structure‐based recommended system for LCSs (RS‐LCSs) is proposed, where user queries and recent updation/requirements are considered for exhibiting the response through the system. In the proposed system, business has been regulated according to the time constraints. We have tested our proposed system on the standard benchmark dataset and quantitative metrics show our proposed method has performed well against the compared methods. The forecasting of business has been done through our model to address the recent queries and new requirements issues to provide an adaptive web service for the business development.

中文翻译:

基于长期组合的新型自适应Web服务推荐系统

在数字网络服务时代,动态组合功能是不可避免的。长期组合服务(LCS)具有无限长的使用寿命,因此可以在任何程度上满足功能组合的需求。在拟议的研究工作中,我们旨在提供服务支持,以期长期履行业务承诺。提出了基于结构的LCS推荐系统(RS-LCS),其中考虑了用户查询和最近的更新/要求,以通过系统展示响应。在提出的系统中,已经根据时间限制来调节业务。我们已经在标准基准数据集上测试了我们提出的系统,定量指标表明我们提出的方法相对于比较方法表现良好。
更新日期:2020-03-17
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