Imagen de Portada

beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vančura, Vojtěch, Kordík, Pavel, Straka, Milan
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
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)

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)

From Knots to Knobs: Towards Steerable Collaborative Filtering Using Sparse Autoencoders
por: Spišák, 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)

Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
por: Wu, Xinglong, et al.
Publicado: (2024)

Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
por: Liu, Enze, et al.
Publicado: (2025)

Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction
por: Malitesta, Daniele, et al.
Publicado: (2024)

Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
por: Hänsch, S., et al.
Publicado: (2026)

Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce
por: Kuzi, Saar, et al.
Publicado: (2024)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
por: Wen, Yi, et al.
Publicado: (2025)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
por: Guan, Zhihao, et al.
Publicado: (2024)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
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)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
por: Qin, Zhida, et al.
Publicado: (2026)

Collaborative Semantic Alignment in Recommendation Systems
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)

Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
por: Zhang, Wenyu, et al.
Publicado: (2025)

Automated Similarity Metric Generation for Recommendation
por: Qu, Liang, et al.
Publicado: (2024)

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
por: Huang, Xu, et al.
Publicado: (2026)

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
por: Xu, Chen, et al.
Publicado: (2025)

Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation
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)

Similarity-Guided Diffusion for Contrastive Sequential Recommendation
por: Choi, Jinkyeong, et al.
Publicado: (2025)

Sequence-level Semantic Representation Fusion for Recommender Systems
por: Xu, Lanling, et al.
Publicado: (2024)

Bridging the Gap Between Semantic and User Preference Spaces for Multi-modal Music Representation Learning
por: Pan, Xiaofeng, et al.
Publicado: (2025)

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
por: Hu, Zheng, et al.
Publicado: (2024)

Brownian Bridge Diffusion for Sequential Recommendation
por: Bai, Yimeng, et al.
Publicado: (2025)

SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
por: Nguyen, Tan Loc, et al.
Publicado: (2025)

DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
por: Ye, Wencai, et al.
Publicado: (2025)

KG-RAG: Bridging the Gap Between Knowledge and Creativity
por: Sanmartin, Diego
Publicado: (2024)

Aggregate and Broadcast: Scalable and Efficient Feature Interaction for Recommender Systems
por: Li, Kaiyuan, et al.
Publicado: (2025)

HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
por: Huang, Yunwen, et al.
Publicado: (2026)

TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
por: Zhou, Yifeng, et al.
Publicado: (2026)

Lost in Transliteration: Bridging the Script Gap in Neural IR
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)

BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search
por: Li, Xianming, et al.
Publicado: (2024)

Differentiable Semantic ID for Generative Recommendation
por: Fu, Junchen, et al.
Publicado: (2026)

Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
por: Rozonoyer, Benjamin, et al.
Publicado: (2026)

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
por: Li, Zhuofeng, et al.
Publicado: (2026)