Recommendation Method Based on Attention Mechanism Interactive Convolutional Neural Network

Recommendation Method Based on Attention Mechanism Interactive Convolutional Neural Network

In order to capture the dynamic interaction between users and items during online shopping and improve the accuracy of recommendation systems(RS),a user rating prediction method combining user preference and item attractiveness is proposed.The reviews are divided into user review texts and product r...

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Bibliographic Details
Main Author: REN Sheng-lan, GUO Hui-juan, HUANG Wen-hao, TANG Zhi-hong, Qi Hui
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-10-01
Series:Jisuanji kexue
Subjects:
recommendation system|user preference|convolutional neural network|interactive-attention mechanism|contextual features
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-10-126.pdf

Internet

https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-10-126.pdf

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