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Unifying multi-associations through hypergraph for bundle recommendation

  • Published:2022-11 Issue: Volume:255 Page:109755
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Yu ZhouxinORCID,Li JintangORCID,Chen Liang,Zheng Zibin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference56 articles.

1. Recommender systems for product bundling;Beladev;Knowl. Based Syst.,2016

2. A survey of researches on personalized bundle recommendation techniques;Li,2020

3. An approach to mining bundled commodities;Yin;Knowl. Based Syst.,2008

4. Cost-aware collaborative filtering for travel tour recommendations;Ge;ACM Trans. Inf. Syst.,2014

5. Embedding factorization models for jointly recommending items and user generated lists;Cao,2017

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DHCL-BR: Dual Hypergraph Contrastive Learning for Bundle Recommendation;The Computer Journal;2024-08-10

2. Adaptive In-Context Learning with Large Language Models for Bundle Generation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. An Ensemble Approach for Bundle Recommendation Based on Performance Evaluation;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26

4. Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

5. Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph;Knowledge-Based Systems;2024-01
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