Predicting Dynamic User–Item Interaction with Meta-Path Guided Recursive RNN

Predicting Dynamic User–Item Interaction with Meta-Path Guided Recursive RNN

Accurately predicting user–item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly analyze the sparse user–item interaction data without co...

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Bibliographic Details
Main Authors: Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang, Senzhang Wang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Algorithms
Subjects:
recursive RNN
user–item interaction
shift embedding
meta-path
Online Access:https://www.mdpi.com/1999-4893/15/3/80

Internet

https://www.mdpi.com/1999-4893/15/3/80

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