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MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender
v1v2v3 (latest)

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender

16 August 2024
Kwangwook Seo
Soojin Yoon
SeongKu Kang
Jinyoung Yeo
Dongha Lee
    RALM
ArXiv (abs)PDFHTMLGithub (991★)

Papers citing "MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender"

4 / 4 papers shown
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation
Chang Liu
Yimeng Bai
Xiaoyan Zhao
Yang Zhang
Fuli Feng
Wenge Rong
342
12
0
18 Jun 2025
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
Longtao Xiao
Yining Qi
Cheng Wang
Linfei Ji
Yuanbo Wang
Jieming Zhu
Zhenhua Dong
Rui-Xun Zhang
Ruixuan Li
655
1
0
10 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical AnalysisACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
550
29
0
17 Jan 2025
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
475
1,076
0
18 Aug 2020
1
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