Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 470-475.doi: 10.11896/j.issn.1002-137X.2017.11A.100

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Study on Multi-collaborative Filtering Algorithm of Command Information Based on Cloud Models

DU Bo, YU Yan and DAI Gang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: To overcome the problems of data sparse and cold start based on traditional collaborative filtering algorithm,when collaborative filtering relationship is established between commanders and command elements,a mission-oriented multi-collaborative filtering algorithm of command information was proposed. Firstly,the algorithm performs cloud model-based pro-collaborative filtering by operation type on the command elements,and then integrates the cohesion subset analysis into user-based collaborative filtering to mine the similarities between the commanders and command elements under specific operation types,thus to achieve accurate recommendations. The experimental results show that the proposed algorithm can be applied to the command information system of operational mission effectively and improves the recommendation efficiency and accuracy of the system.

Key words: Command system,Collaborative filtering,Cloud models,Cohesion subset

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