Deep Bi-LSTM Networks for Sequential Recommendation

Deep Bi-LSTM Networks for Sequential Recommendation

Recent years have seen a surge in approaches that combine deep learning and recommendation systems to capture user preference or item interaction evolution over time. However, the most related work only consider the sequential similarity between the items and neglects the item content feature inform...

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Bibliographic Details
Main Authors: Chuanchuan Zhao, Jinguo You, Xinxian Wen, Xiaowu Li
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Entropy
Subjects:
recommendation systems
interactive sequence
class label
deep bidirectional LSTM
self-attention
item similarity
Online Access:https://www.mdpi.com/1099-4300/22/8/870

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