Jae Boum Kim

Orcid: 0000-0001-5451-6617

According to our database1, Jae Boum Kim authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.
CoRR, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Equivariant Contrastive Learning for Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Attention Calibration for Transformer-based Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CoRR, 2022

2021
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer.
CoRR, 2021


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