Toward business process recommendation-based collaborative filtering. (28th November 2019)

• Record Type: Journal Article
• Authors: Luo, Wei; Peng, Zhihao; Deng, Ansheng; Bi, Xiaoming
• Is Part Of: International journal of internet manufacturing and services. Volume 6:Number 4(2019)
• Page Start: 389
• Page End: 402
• Publication Date: 2019-11-28
• Subjects: business process recommendation -- flow similarity -- user preferences -- collaborative filtering -- personalised process recommendation; Computer integrated manufacturing systems -- Periodicals; Internet -- Periodicals; 670.2854678
• Languages: English
• ISSNs: 1751-6048

Abstract

Existing process recommendation methods cannot meet the various needs of personalised users. To address this problem, this paper proposed a personalised process recommendation method that is based on user behaviour preference. This method combines traditional process recommendation with user behaviour similarity and mines user behaviour preference according to the historical tracks of processes that were performed by users. In the execution of a process, the execution trace of a behaviour-similar user and executable candidate activities to be recommended that are provided by conventional process recommendation are analysed. Then, activities or recommended activities for the current user are selected to realise the automatic construction of the entire process to meet the personalised needs of users. The experimental results show that the proposed method outperforms other methods in terms of accuracy and efficiency.