A novel academic recommendation model with singular value decomposition and dynamic transfer chain

doi:10.7523/jssn.2095-6134.2014.02.017

Abstract

Abstract:

In the field of academic recommendation, changes in learner's preferences and academic trends with time affect the accuracy of academic recommendation systems. Most of the existing recommendation methods do not consider the time factor. We propose the dynamic transfer chain (DTC) to model users' preferences and academic trends over time. Based on DTC framework, we present a novel temporal academic recommendation algorithm (SVD&DTC) which combines singular value decomposition (SVD) and DTC together. Finally, we evaluate the effectiveness of the method using datasets on SeekSearch, and the results show a 3.89% improvement over the previous start-of-the-art.

Key words: academic recommendation, dynamic transfer chain (DTC), singular value decomposition (SVD), temporal recommendation

CLC Number:

O153

LUO Tiejian, CHENG Fuxing, ZHOU Jia. A novel academic recommendation model with singular value decomposition and dynamic transfer chain[J]. , 2014, 31(2): 257-266.

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