Research of Manufacturing Information Recommendation Model Based on Pattern Mining

Abstract:

Existing enterprises information systems seldom take different requirement tendency of different personnel into consideration. The idea of Manufacturing Information Active Recommendation was put forward to transfer proper information to proper personnel correctly and timely. The demand sequence behavior access pattern tree was constructed based on the different requirement of user's identity, location and business needs in Web environment manufacturing information. Historical situation similar to current situation could be sorted by its value, and the Behavior could be determined and output based on the association between the highly similar historical situations. Finally, an example was provided to demonstrate the effectiveness of the information modeling process frequent sequence behavior access pattern tree and the model.

• Periodical: Advanced Materials Research (Volumes 102-104)
• Pages: 813-816
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.102-104.813
• Online since: March 2010
• Authors: D.S. Liu, Chun Hua Ju, Hao Tian
• Keywords: Collaborative Recommendation, Information System, Manufacturing Information, Pattern Mining, Similarity

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