Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization

Author(s):  
Xinqiang Zhao ◽  
Xin Li ◽  
Lejian Liao ◽  
Dandan Song ◽  
William K. Cheung
2017 ◽  
Vol 35 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Xin Li ◽  
Mingming Jiang ◽  
Huiting Hong ◽  
Lejian Liao

2014 ◽  
Vol 1042 ◽  
pp. 228-231
Author(s):  
Hong Fei Sun ◽  
Xiao Dang Liu

Based on the tensor decomposition especially pyramid decomposition method in matrix model, according to the high operation complexity of TD model, the author arises pairwise interaction tensor factorization (PITF) method to optimize it. And the tag recommendation, for example, this article simulate the interaction between all the labels on items a user tagging. The results show that on achieving expected quality test, PITF has obvious advantages than TD and CD at running time.


2019 ◽  
Vol 85 ◽  
pp. 105762 ◽  
Author(s):  
Yiwen Zhang ◽  
Chunhui Yin ◽  
Zhihui Lu ◽  
Dengcheng Yan ◽  
Meikang Qiu ◽  
...  

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