:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Feng, Xincan, Watanabe, Taro
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Information Retrieval
Accès en ligne:	https://arxiv.org/abs/2602.09229
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
par: Feng, Xincan, et autres
Publié: (2026)

COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems
par: Roychowdhury, Sohini, et autres
Publié: (2026)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
par: Zhang, Haonan, et autres
Publié: (2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings
par: Feng, Ningya, et autres
Publié: (2024)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
par: Oh, Sejoon, et autres
Publié: (2024)

TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
par: Wu, Jianfei, et autres
Publié: (2025)

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
par: Tong, Junxiong, et autres
Publié: (2024)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
par: Gera, Ariel, et autres
Publié: (2026)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
par: Fang, Hui, et autres
Publié: (2024)

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
par: Gomes, Miguel Alves, et autres
Publié: (2024)

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
par: Yao, Hongyu, et autres
Publié: (2025)

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

Does Weighting Improve Matrix Factorization for Recommender Systems?
par: Ayoub, Alex, et autres
Publié: (2025)

How Does Message Passing Improve Collaborative Filtering?
par: Ju, Mingxuan, et autres
Publié: (2024)

FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning
par: Zhang, Hongyu, et autres
Publié: (2023)

VIBE: Vector Index Benchmark for Embeddings
par: Jääsaari, Elias, et autres
Publié: (2025)

Generalized Embedding Machines for Recommender Systems
par: Yang, Enneng, et autres
Publié: (2020)

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
par: Tran, Hung Vinh, et autres
Publié: (2024)

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
par: Zhang, Hongyu, et autres
Publié: (2024)

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
par: Bi, Yaowen, et autres
Publié: (2024)

Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models
par: Lee, Hyunin, et autres
Publié: (2025)

Scaling Laws for Embedding Dimension in Information Retrieval
par: Killingback, Julian, et autres
Publié: (2026)

Applying Embedding-Based Retrieval to Airbnb Search
par: Abdool, Mustafa, et autres
Publié: (2026)

Topological Metric for Unsupervised Embedding Quality Evaluation
par: Shestov, Aleksei, et autres
Publié: (2025)

Semantic Outlier Removal with Embedding Models and LLMs
par: Akbiyik, Eren, et autres
Publié: (2025)

Is Cosine-Similarity of Embeddings Really About Similarity?
par: Steck, Harald, et autres
Publié: (2024)

ICLERB: In-Context Learning Embedding and Reranker Benchmark
par: Ghossein, Marie Al, et autres
Publié: (2024)

Location Aware Embedding for Geotargeting in Sponsored Search Advertising
par: Gligorijevic, Jelena, et autres
Publié: (2026)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
par: Su, Liangcai, et autres
Publié: (2023)

On the Embedding Collapse when Scaling up Recommendation Models
par: Guo, Xingzhuo, et autres
Publié: (2023)

Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
par: Kulunk, Aysenur, et autres
Publié: (2025)

Graph Embedding in the Graph Fractional Fourier Transform Domain
par: Sheng, Changjie, et autres
Publié: (2025)

Cold-start Recommendation by Personalized Embedding Region Elicitation
par: Nguyen, Hieu Trung, et autres
Publié: (2024)

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation
par: Du, Wei-Wei, et autres
Publié: (2025)

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
par: Krishnamurthy, Madan, et autres
Publié: (2025)

CSRv2: Unlocking Ultra-Sparse Embeddings
par: Guo, Lixuan, et autres
Publié: (2026)

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
par: Pires, Pedro R., et autres
Publié: (2026)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
par: Ebrat, Danial, et autres
Publié: (2025)

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
par: Shenbin, Ilya, et autres
Publié: (2024)

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation
par: Liu, Yuting, et autres
Publié: (2023)