Guardado en:
| Autores principales: | Vančura, Vojtěch, Kordík, Pavel, Straka, Milan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2409.10309 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
por: Kasalický, Petr, et al.
Publicado: (2025)
por: Kasalický, Petr, et al.
Publicado: (2025)
Efficient Learning of Sparse Representations from Interactions
por: Vančura, Vojtěch, et al.
Publicado: (2026)
por: Vančura, Vojtěch, et al.
Publicado: (2026)
Leveraging Artist Catalogs for Cold-Start Music Recommendation
por: Tamm, Yan-Martin, et al.
Publicado: (2026)
por: Tamm, Yan-Martin, et al.
Publicado: (2026)
Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment
por: Špaček, Filip, et al.
Publicado: (2025)
por: Špaček, Filip, et al.
Publicado: (2025)
From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders
por: Spišák, Martin, et al.
Publicado: (2026)
por: Spišák, Martin, et al.
Publicado: (2026)
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
por: Wu, Xinglong, et al.
Publicado: (2024)
por: Wu, Xinglong, et al.
Publicado: (2024)
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
por: Liu, Enze, et al.
Publicado: (2025)
por: Liu, Enze, et al.
Publicado: (2025)
Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
por: Hänsch, S., et al.
Publicado: (2026)
por: Hänsch, S., et al.
Publicado: (2026)
Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction
por: Malitesta, Daniele, et al.
Publicado: (2024)
por: Malitesta, Daniele, et al.
Publicado: (2024)
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce
por: Kuzi, Saar, et al.
Publicado: (2024)
por: Kuzi, Saar, et al.
Publicado: (2024)
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
por: Guan, Zhihao, et al.
Publicado: (2024)
por: Guan, Zhihao, et al.
Publicado: (2024)
Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
por: Wen, Yi, et al.
Publicado: (2025)
por: Wen, Yi, et al.
Publicado: (2025)
Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
por: Tang, Heng, et al.
Publicado: (2025)
por: Tang, Heng, et al.
Publicado: (2025)
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
por: Hou, Yupeng, et al.
Publicado: (2024)
por: Hou, Yupeng, et al.
Publicado: (2024)
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
por: Qin, Zhida, et al.
Publicado: (2026)
por: Qin, Zhida, et al.
Publicado: (2026)
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
por: Zhang, Wenyu, et al.
Publicado: (2025)
por: Zhang, Wenyu, et al.
Publicado: (2025)
Collaborative Semantic Alignment in Recommendation Systems
por: Wang, Chen, et al.
Publicado: (2023)
por: Wang, Chen, et al.
Publicado: (2023)
UniRec: Bridging the Expressive Gap between Generative and Discriminative Recommendation via Chain-of-Attribute
por: Wang, Ziliang, et al.
Publicado: (2026)
por: Wang, Ziliang, et al.
Publicado: (2026)
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
por: Xu, Chen, et al.
Publicado: (2025)
por: Xu, Chen, et al.
Publicado: (2025)
Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
por: Pan, Xiaofeng, et al.
Publicado: (2025)
por: Pan, Xiaofeng, et al.
Publicado: (2025)
Automated Similarity Metric Generation for Recommendation
por: Qu, Liang, et al.
Publicado: (2024)
por: Qu, Liang, et al.
Publicado: (2024)
MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
por: Huang, Xu, et al.
Publicado: (2026)
por: Huang, Xu, et al.
Publicado: (2026)
Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation
por: Wu, Xinzhuo, et al.
Publicado: (2026)
por: Wu, Xinzhuo, et al.
Publicado: (2026)
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)
por: Xu, Jinfeng, et al.
Publicado: (2025)
Similarity-Guided Diffusion for Contrastive Sequential Recommendation
por: Choi, Jinkyeong, et al.
Publicado: (2025)
por: Choi, Jinkyeong, et al.
Publicado: (2025)
Sequence-level Semantic Representation Fusion for Recommender Systems
por: Xu, Lanling, et al.
Publicado: (2024)
por: Xu, Lanling, et al.
Publicado: (2024)
KG-RAG: Bridging the Gap Between Knowledge and Creativity
por: Sanmartin, Diego
Publicado: (2024)
por: Sanmartin, Diego
Publicado: (2024)
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
por: Hu, Zheng, et al.
Publicado: (2024)
por: Hu, Zheng, et al.
Publicado: (2024)
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
por: Nguyen, Tan Loc, et al.
Publicado: (2025)
por: Nguyen, Tan Loc, et al.
Publicado: (2025)
TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
por: Zhou, Yifeng, et al.
Publicado: (2026)
por: Zhou, Yifeng, et al.
Publicado: (2026)
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
por: Rozonoyer, Benjamin, et al.
Publicado: (2026)
por: Rozonoyer, Benjamin, et al.
Publicado: (2026)
CWRCzech: 100M Query-Document Czech Click Dataset and Its Application to Web Relevance Ranking
por: Vonášek, Josef, et al.
Publicado: (2024)
por: Vonášek, Josef, et al.
Publicado: (2024)
Brownian Bridge Diffusion for Sequential Recommendation
por: Bai, Yimeng, et al.
Publicado: (2025)
por: Bai, Yimeng, et al.
Publicado: (2025)
Bradford's Law: Theory, Empiricism and the Gaps Between.
por: Drott, M. Carl
Publicado: (1981)
por: Drott, M. Carl
Publicado: (1981)
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
por: Ye, Wencai, et al.
Publicado: (2025)
por: Ye, Wencai, et al.
Publicado: (2025)
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
por: Huang, Yunwen, et al.
Publicado: (2026)
por: Huang, Yunwen, et al.
Publicado: (2026)
Aggregate and Broadcast: Scalable and Efficient Feature Interaction for Recommender Systems
por: Li, Kaiyuan, et al.
Publicado: (2025)
por: Li, Kaiyuan, et al.
Publicado: (2025)
Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
por: Li, Zhuofeng, et al.
Publicado: (2026)
por: Li, Zhuofeng, et al.
Publicado: (2026)
Lost in Transliteration: Bridging the Script Gap in Neural IR
por: Chari, Andreas, et al.
Publicado: (2025)
por: Chari, Andreas, et al.
Publicado: (2025)
Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
por: Kalra, Nityaa, et al.
Publicado: (2025)
por: Kalra, Nityaa, et al.
Publicado: (2025)
Ejemplares similares
-
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
por: Kasalický, Petr, et al.
Publicado: (2025) -
Efficient Learning of Sparse Representations from Interactions
por: Vančura, Vojtěch, et al.
Publicado: (2026) -
Leveraging Artist Catalogs for Cold-Start Music Recommendation
por: Tamm, Yan-Martin, et al.
Publicado: (2026) -
Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment
por: Špaček, Filip, et al.
Publicado: (2025) -
From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders
por: Spišák, Martin, et al.
Publicado: (2026)