Saved in:
| Main Authors: | Yamashita, Tomohiro, Amagata, Daichi, Matsui, Yusuke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.06200 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decentralized Identity Management on Ripple: A Conceptual Framework for High-Speed, Low-Cost Identity Transactions in Attestation-Based Attribute-Based Identity
by: Konara, Ruwanga, et al.
Published: (2025)
by: Konara, Ruwanga, et al.
Published: (2025)
Mycelium-Index: A Streaming Approximate Nearest Neighbor Index with Myelial Edge Decay, Traffic-Driven Reinforcement, and Adaptive Living Hierarchy
by: Pakhunov, Anton
Published: (2026)
by: Pakhunov, Anton
Published: (2026)
S3PHER: Secure and Searchable System for Patient-driven HEalth data shaRing
by: Costa, Ivan, et al.
Published: (2024)
by: Costa, Ivan, et al.
Published: (2024)
Results of the Big ANN: NeurIPS'23 competition
by: Simhadri, Harsha Vardhan, et al.
Published: (2024)
by: Simhadri, Harsha Vardhan, et al.
Published: (2024)
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
by: De Kerpel, Lukas, et al.
Published: (2026)
by: De Kerpel, Lukas, et al.
Published: (2026)
Active Data
by: Arthur, Richard, et al.
Published: (2026)
by: Arthur, Richard, et al.
Published: (2026)
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
by: Zhang, Peiyan, et al.
Published: (2024)
by: Zhang, Peiyan, et al.
Published: (2024)
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
by: Takehi, Rikiya, et al.
Published: (2024)
by: Takehi, Rikiya, et al.
Published: (2024)
Calibrated Fusion for Heterogeneous Graph-Vector Retrieval in Multi-Hop QA
by: Bacellar, Andre
Published: (2026)
by: Bacellar, Andre
Published: (2026)
Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales
by: Godfrey, Charles, et al.
Published: (2025)
by: Godfrey, Charles, et al.
Published: (2025)
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
by: Zhang, Peiyan, et al.
Published: (2023)
by: Zhang, Peiyan, et al.
Published: (2023)
When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
by: Zhang, Zhicheng, et al.
Published: (2026)
by: Zhang, Zhicheng, et al.
Published: (2026)
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
by: Peng, Pipi, et al.
Published: (2024)
by: Peng, Pipi, et al.
Published: (2024)
QuIVer: Rethinking ANN Graph Topology via Training-Free Binary Quantization
by: Xiao, Wenxuan, et al.
Published: (2026)
by: Xiao, Wenxuan, et al.
Published: (2026)
Generalized compression and compressive search of large datasets
by: Prior, Morgan E., et al.
Published: (2024)
by: Prior, Morgan E., et al.
Published: (2024)
Siren Federate: Bridging document, relational, and graph models for exploratory graph analysis
by: Bordea, Georgeta, et al.
Published: (2025)
by: Bordea, Georgeta, et al.
Published: (2025)
FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing
by: Yan, Zhenxing, et al.
Published: (2026)
by: Yan, Zhenxing, et al.
Published: (2026)
Timehash: Hierarchical Time Indexing for Efficient Business Hours Search
by: Kim, Jinoh, et al.
Published: (2026)
by: Kim, Jinoh, et al.
Published: (2026)
Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)
by: Askari, Arian, et al.
Published: (2024)
Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
by: Atri, Rian
Published: (2026)
by: Atri, Rian
Published: (2026)
Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
by: Ahn, Seokho, et al.
Published: (2026)
by: Ahn, Seokho, et al.
Published: (2026)
Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data
by: Rashid, Maisha Binte, et al.
Published: (2025)
by: Rashid, Maisha Binte, et al.
Published: (2025)
Learned Compression of Nonlinear Time Series With Random Access
by: Guerra, Andrea, et al.
Published: (2024)
by: Guerra, Andrea, et al.
Published: (2024)
DISTRIBUTEDANN: Efficient Scaling of a Single DISKANN Graph Across Thousands of Computers
by: Adams, Philip, et al.
Published: (2025)
by: Adams, Philip, et al.
Published: (2025)
Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings
by: Kirdey, Stanislav, et al.
Published: (2026)
by: Kirdey, Stanislav, et al.
Published: (2026)
Suggest, Complement, Inspire: Story of Two Tower Recommendations at Allegro.com
by: Osowska-Kurczab, Aleksandra, et al.
Published: (2025)
by: Osowska-Kurczab, Aleksandra, et al.
Published: (2025)
Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
by: Xu, Enqiang, et al.
Published: (2024)
by: Xu, Enqiang, et al.
Published: (2024)
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble
by: Dong, Chang, et al.
Published: (2024)
by: Dong, Chang, et al.
Published: (2024)
Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation
by: Chakrabarty, Sayak, et al.
Published: (2026)
by: Chakrabarty, Sayak, et al.
Published: (2026)
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
by: Liu, Hong, et al.
Published: (2024)
by: Liu, Hong, et al.
Published: (2024)
UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization
by: Li, Jialei, et al.
Published: (2026)
by: Li, Jialei, et al.
Published: (2026)
Multi-Tower Multi-Interest Recommendation with User Representation Repel
by: Xiong, Tianyu, et al.
Published: (2024)
by: Xiong, Tianyu, et al.
Published: (2024)
Course Recommender Systems Need to Consider the Job Market
by: Frej, Jibril, et al.
Published: (2024)
by: Frej, Jibril, et al.
Published: (2024)
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
by: Sinha, Yash, et al.
Published: (2024)
by: Sinha, Yash, et al.
Published: (2024)
Tensor Manifold-Based Graph-Vector Fusion for AI-Native Academic Literature Retrieval
by: Wei, Xing, et al.
Published: (2026)
by: Wei, Xing, et al.
Published: (2026)
Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models
by: Cid, Victor H., et al.
Published: (2025)
by: Cid, Victor H., et al.
Published: (2025)
Memory Based Collaborative Filtering with Lucene
by: Gennaro, Claudio
Published: (2016)
by: Gennaro, Claudio
Published: (2016)
FLASC: A Flare-Sensitive Clustering Algorithm
by: Bot, D. M., et al.
Published: (2023)
by: Bot, D. M., et al.
Published: (2023)
An Enhanced Batch Query Architecture in Real-time Recommendation
by: Zhang, Qiang, et al.
Published: (2024)
by: Zhang, Qiang, et al.
Published: (2024)
Domain Specific Data Distillation and Multi-modal Embedding Generation
by: Peddiraju, Sharadind, et al.
Published: (2024)
by: Peddiraju, Sharadind, et al.
Published: (2024)
Similar Items
-
Decentralized Identity Management on Ripple: A Conceptual Framework for High-Speed, Low-Cost Identity Transactions in Attestation-Based Attribute-Based Identity
by: Konara, Ruwanga, et al.
Published: (2025) -
Mycelium-Index: A Streaming Approximate Nearest Neighbor Index with Myelial Edge Decay, Traffic-Driven Reinforcement, and Adaptive Living Hierarchy
by: Pakhunov, Anton
Published: (2026) -
S3PHER: Secure and Searchable System for Patient-driven HEalth data shaRing
by: Costa, Ivan, et al.
Published: (2024) -
Results of the Big ANN: NeurIPS'23 competition
by: Simhadri, Harsha Vardhan, et al.
Published: (2024) -
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
by: De Kerpel, Lukas, et al.
Published: (2026)