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MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

Research article (ACM Transactions on Information Systems, 2024) · cited 36× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
January 23, 2024as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
ACM Transactions on Information Systemsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4391145699as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1145/3640810as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 6
Tat-Seng Chua, Xiaoyu Du, Yingzhi He, Yinwei Wei, Yunshan Ma, Yuyangzi Fu
← Author of 6
Tat-Seng Chua, Xiaoyu Du, Yingzhi He, Yinwei Wei, Yunshan Ma, Yuyangzi Fu
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Summary

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. Retrieved October 20, 2026, from https://4ort.xyz/entity/multicbr-multi-view-contrastive-learning-for-bundle-recommendation
MLA “MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/multicbr-multi-view-contrastive-learning-for-bundle-recommendation.
BibTeX @misc{4ortxyz_multicbr-multi-view-contrastive-learning-for-bundle-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/multicbr-multi-view-contrastive-learning-for-bundle-recommendation}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation — https://4ort.xyz/entity/multicbr-multi-view-contrastive-learning-for-bundle-recommendation (retrieved 2026-10-20)

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