A hybrid bandit framework for diversified recommendation

A hybrid bandit framework for diversified recommendation

The interactive recommender systems involve users in the recommendation procedure by receiving timely user feedback to update the recommendation policy. Therefore, they are widely used in real application scenarios. Previous interactive recommendation methods primarily focus on learning users...

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Bibliographic Details
Main Authors: Ding, Qinxu, Liu, Yong, Miao, Chunyan, Cheng, Fei, Tang, Haihong
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Linear Modular Dispersion Bandit
Interactive Recommender Systems
Online Access:https://ojs.aaai.org/index.php/AAAI/issue/archive
https://hdl.handle.net/10356/152719

Internet

https://ojs.aaai.org/index.php/AAAI/issue/archive
https://hdl.handle.net/10356/152719

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