:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Feng, Xincan, Watanabe, Taro
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Information Retrieval
Accesso online:	https://arxiv.org/abs/2602.09229
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
di: Feng, Xincan, et al.
Pubblicazione: (2026)

COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems
di: Roychowdhury, Sohini, et al.
Pubblicazione: (2026)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
di: Zhang, Haonan, et al.
Pubblicazione: (2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings
di: Feng, Ningya, et al.
Pubblicazione: (2024)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
di: Oh, Sejoon, et al.
Pubblicazione: (2024)

TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
di: Wu, Jianfei, et al.
Pubblicazione: (2025)

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
di: Tong, Junxiong, et al.
Pubblicazione: (2024)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
di: Gera, Ariel, et al.
Pubblicazione: (2026)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
di: Fang, Hui, et al.
Pubblicazione: (2024)

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
di: Gomes, Miguel Alves, et al.
Pubblicazione: (2024)

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
di: Yao, Hongyu, et al.
Pubblicazione: (2025)

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
di: Nandi, Subhadip, et al.
Pubblicazione: (2024)

Does Weighting Improve Matrix Factorization for Recommender Systems?
di: Ayoub, Alex, et al.
Pubblicazione: (2025)

How Does Message Passing Improve Collaborative Filtering?
di: Ju, Mingxuan, et al.
Pubblicazione: (2024)

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
di: Zhang, Hongyu, et al.
Pubblicazione: (2023)

VIBE: Vector Index Benchmark for Embeddings
di: Jääsaari, Elias, et al.
Pubblicazione: (2025)

Generalized Embedding Machines for Recommender Systems
di: Yang, Enneng, et al.
Pubblicazione: (2020)

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
di: Tran, Hung Vinh, et al.
Pubblicazione: (2024)

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
di: Zhang, Hongyu, et al.
Pubblicazione: (2024)

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
di: Bi, Yaowen, et al.
Pubblicazione: (2024)

Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models
di: Lee, Hyunin, et al.
Pubblicazione: (2025)

Scaling Laws for Embedding Dimension in Information Retrieval
di: Killingback, Julian, et al.
Pubblicazione: (2026)

Applying Embedding-Based Retrieval to Airbnb Search
di: Abdool, Mustafa, et al.
Pubblicazione: (2026)

Topological Metric for Unsupervised Embedding Quality Evaluation
di: Shestov, Aleksei, et al.
Pubblicazione: (2025)

Semantic Outlier Removal with Embedding Models and LLMs
di: Akbiyik, Eren, et al.
Pubblicazione: (2025)

Is Cosine-Similarity of Embeddings Really About Similarity?
di: Steck, Harald, et al.
Pubblicazione: (2024)

ICLERB: In-Context Learning Embedding and Reranker Benchmark
di: Ghossein, Marie Al, et al.
Pubblicazione: (2024)

Location Aware Embedding for Geotargeting in Sponsored Search Advertising
di: Gligorijevic, Jelena, et al.
Pubblicazione: (2026)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
di: Su, Liangcai, et al.
Pubblicazione: (2023)

On the Embedding Collapse when Scaling up Recommendation Models
di: Guo, Xingzhuo, et al.
Pubblicazione: (2023)

Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
di: Kulunk, Aysenur, et al.
Pubblicazione: (2025)

Graph Embedding in the Graph Fractional Fourier Transform Domain
di: Sheng, Changjie, et al.
Pubblicazione: (2025)

Cold-start Recommendation by Personalized Embedding Region Elicitation
di: Nguyen, Hieu Trung, et al.
Pubblicazione: (2024)

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation
di: Du, Wei-Wei, et al.
Pubblicazione: (2025)

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
di: Krishnamurthy, Madan, et al.
Pubblicazione: (2025)

CSRv2: Unlocking Ultra-Sparse Embeddings
di: Guo, Lixuan, et al.
Pubblicazione: (2026)

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
di: Pires, Pedro R., et al.
Pubblicazione: (2026)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
di: Ebrat, Danial, et al.
Pubblicazione: (2025)

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
di: Shenbin, Ilya, et al.
Pubblicazione: (2024)

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation
di: Liu, Yuting, et al.
Pubblicazione: (2023)