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Bhuvesh Kumar
Observed name:
Kumar, Bhuvesh
Institution:
Snap (United States)
Observed institution:
Snap (United States)
ORCID:
0009-0004-0849-8648
Observed ORCID:
0009-0004-0849-8648
OpenAlex ID:
A5121099393
Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
2026
·
Clark Mingxuan Ju
, Tong Zhao
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
11
Sequential Data Augmentation for Generative Recommendation
2026
·
Geon Lee
, Bhuvesh Kumar
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
7
Implicit Reasoning for Large Language Model-based Generative Recommendation
2026
·
He, Yinhan
, Collins, Liam
, et al.
·
arXiv (Cornell University)
·
6
PDF
CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
2026
·
Zeng, Hansi
, Collins, Liam
, et al.
·
arXiv (Cornell University)
·
5
PDF
LLM-Based Generative Retrieval for Snapchat Content Recommendation
2026
·
Collins, Liam
, Ren, Jiwen
, et al.
·
arXiv (Cornell University)
·
2
PDF
Preserving Item Semantics for Free: Rethinking Token Initialization in LLM-Based Generative Recommendation
2026
·
Loveland, Donald
, Collins, Liam
, et al.
·
arXiv (Cornell University)
·
1
PDF
On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies
2026
·
Kim, Sunwoo
, Lee, Sunkyung
, et al.
·
arXiv (Cornell University)
·
1
PDF
Understanding ID-Text Complementarity in Sequential Recommendation
2025
·
Collins, Liam
, Kumar, Bhuvesh
, et al.
·
arXiv (Cornell University)
·
1
PDF
Training-Free LLM-Based Recommendation with Post-LLM Item Refinement Using Collaborative Signals
2026
·
Kyungho Kim
, Sunwoo Kim
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
Understanding ID-Text Complementarity in Sequential Recommendation
2026
·
Liam Collins
, Bhuvesh Kumar
, et al.
·
ACM Conference on Recommender Systems (RecSys)
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Works count:
10
Citation count:
34
H-index:
4
I10-index:
1
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