Manufacturing Information Recommendation Model Based on Pattern Mining

Abstract:

Existing enterprise information systems seldom consider different requirements from different users. To remedy this problem, the idea of manufacturing information active recommendation is put forward in this paper to deliver proper information to proper users correctly and timely. A new model called Sequence Behavior Access Pattern tree (SBAP-tree) is constructed based on the different requirements of user's identity, location, behavior habit and business needs for manufacturing information in Web environment. Using this SBAP-tree, historical situations similar to current situation could be sorted by their values, and the behavior could then be determined and output based on the association between the highly similar historical situations. Finally, an example is provided to demonstrate the effectiveness of SBAP-tree and the manufacturing information recommendation model based on SBAP-tree.

• Periodical: Advanced Materials Research (Volumes 121-122)
• Pages: 294-299
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.121-122.294
• Online since: June 2010
• Authors: Y. Feng, D.S. Liu, Chun Hua Ju, Hao Tian
• Keywords: Collaborative Recommendation, Information System, Manufacturing Information, Pattern Mining, Similarity

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