Computer Science ›› 2018, Vol. 45 ›› Issue (10): 202-206.doi: 10.11896/j.issn.1002-137X.2018.10.037

• Artificial Intelligence • Previous Articles     Next Articles

Mobile User Interface Pattern Recommendation Based on Conflict Degree and Collaborative Filtering

JIA Wei1,2, HUA Qing-yi1, ZHANG Min-jun1, CHEN Rui1, JI Xiang1, WANG Bo1,3   

  1. School of Information Science and Technology,Northwest University,Xi’an 710127,China 1
    Xinhua College of Ningxia University,Yinchuan 750021,China 2
    School of Computer Science and Technology,Xi’an University of Posts and Telecommunications,Xi’an 710121,China 3
  • Received:2017-09-05 Online:2018-11-05 Published:2018-11-05

Abstract: Mobile user interface pattern is an effective method to improve efficiency and quality of mobile interface development.Focused on the issue that retrieval results of existing interface pattern retrieval methods cannot meet the requirements of the interface development,a mobile user interface pattern recommendation method based on conflict degree and collaborative filtering was proposed.Firstly,fuzzy c-means clustering algorithm is used to narrow the search range of interface pattern according to the requirement of mobile interface development.Secondly,two tensor models are constructed by using the historical rating and the conflict degree of interface pattern.Tensor factorization method based on Hamiltonian Monte Carlo algorithm is employed to reconstruct these two tensor models.Finally,the recommended interface patterns are obtained by using a linear method.Experimental results show that the performance of the proposed method is superior to existing methods in terms of helping developers to find interface patterns.

Key words: Mobile user interface pattern, Conflict degree, Collaborative filtering, Tensor factorization, Hamiltonian Monte Carlo

CLC Number: 

  • TP391
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