Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation

Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation

Fulfilling users' needs and increasing the retention rate of recommendation systems are challenging. Most users have consumed a few items in most systems. Translation-based model performs well on sparse datasets. However, a user and only single previous item are considered for the user suggesti...

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Bibliographic Details
Main Authors:	Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Recommender system collaborative filtering recurrent neural network
Online Access:	https://ieeexplore.ieee.org/document/8835015/

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