基于冲突度和协同过滤的移动用户界面模式推荐

doi:10.11896／j.issn.1002-137X.2018.10.037

Abstract

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

JIA Wei, HUA Qing-yi, ZHANG Min-jun, CHEN Rui, JI Xiang, WANG Bo. Mobile User Interface Pattern Recommendation Based on Conflict Degree and Collaborative Filtering[J].Computer Science, 2018, 45(10): 202-206.

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

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