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A Hybrid Bandit Framework for Diversified Recommendation

A Hybrid Bandit Framework for Diversified Recommendation

AAAI Conference on Artificial Intelligence (AAAI), 2020
24 December 2020
Qinxu Ding
Yong Liu
Chunyan Miao
Feixue Cheng
Haihong Tang
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Bandit Framework for Diversified Recommendation"

7 / 7 papers shown
Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
Qian Yong
Yanhui Li
Jialiang Shi
Yaguang Dou
Tian Qi
184
0
0
06 Aug 2025
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
Yansen Zhang
Bowei He
Xiaokun Zhang
Haolun Wu
Zexu Sun
Chen Ma
567
2
0
27 May 2025
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
Cairong Yan
Jinyi Han
Jin Ju
Yanting Zhang
Zijian Wang
Xuan Shao
233
0
0
05 May 2025
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
H. Khosravi
Mohammad Reza Shafie
Ahmed Shoyeb Raihan
Srinjoy Das
I. Imtiaz Ahmed
404
1
0
01 Mar 2025
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in
  News Recommendations
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News RecommendationsACM Conference on Recommender Systems (RecSys), 2022
Sanne Vrijenhoek
Gabriel Bénédict
Mateo Gutierrez Granada
Daan Odijk
Maarten de Rijke
196
53
0
17 Sep 2022
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A SurveyAI Open (AO), 2021
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
636
337
0
23 Jan 2021
Diversity-Promoting Deep Reinforcement Learning for Interactive
  Recommendation
Diversity-Promoting Deep Reinforcement Learning for Interactive RecommendationInternational Conference on Crowd Science and Engineering (ICCSE), 2019
Wenshu Fan
Yinan Zhang
Qiong Wu
Chunyan Miao
Li-zhen Cui
Binqiang Zhao
Yin Zhao
Lu Guan
145
37
0
19 Mar 2019
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