Differentiated Fashion Recommendation Using Knowledge Graph and Data Augmentation

Differentiated Fashion Recommendation Using Knowledge Graph and Data Augmentation

E-commerce recommender systems (RSs) can help users quickly find what they need or new products they might be interested in. To continuously enhance user trust in the website, improve page visits and dwell time, and most importantly, increase gross merchandise value (GMV), it is crucial to understan...

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Bibliographic Details
Main Authors: Cairong Yan, Yizhou Chen, Lingjie Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender systems
differentiated recommendation framework
data augmentation
knowledge graph
factorization machine
cold start problem
Online Access:https://ieeexplore.ieee.org/document/8770225/

Internet

https://ieeexplore.ieee.org/document/8770225/

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