Next POI Recommendation based on Multi-graph Information Fusion and Attention Network

Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China

Tagungsband: CIBDA 2022

Seiten: 4Sprache: EnglischTyp: PDF

Autoren:
Tan, Caiping; Gan, Mingxin (School of Economics and Management, University of Science and Technology Beijing, Beijing, China)

Inhalt:
Next point of interest (POI) recommendation aims to model the user's check-in sequence and help users find the POI they are interested at the next moment. Recurrent neural network (RNN)-based methods have been widely used in next POI recommendation, but these RNN-based methods lack in-depth model of complex semantic relationships and deeper sequence transition relationships. We propose next POI recommendation based on multi-graph information fusion and attention network, named MGINAN. Experimental results on two real datasets demonstrate that our proposed method has better recommendation performance than baseline methods.