A Large-Scale Web Search Dataset for Federated Online Learning to Rank

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gregoriadis, Marcel, Kang, Jingwei, Pouwelse, Johan
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

De-DSI: Decentralised Differentiable Search Index
by: Neague, Petru, et al.
Published: (2024)

SwarmSearch: Decentralized Search Engine with Self-Funding Economy
by: Gregoriadis, Marcel, et al.
Published: (2025)

A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication
by: Gregoriadis, Marcel, et al.
Published: (2024)

Semantica: Decentralized Search using a LLM-Guided Semantic Tree Overlay
by: Neague, Petru, et al.
Published: (2025)

FedFlex: Federated Learning for Diverse Netflix Recommendations
by: Lankester, Sven, et al.
Published: (2025)

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation
by: Fu, Kairui, et al.
Published: (2025)

Intelligent Model Update Strategy for Sequential Recommendation
by: Lv, Zheqi, et al.
Published: (2023)

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
by: Fu, Kairui, et al.
Published: (2024)

Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation
by: Martin, Ioana Ramona, et al.
Published: (2026)

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025)

ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System
by: Zhou, Fang, et al.
Published: (2024)

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
by: Feng, Chenhao, et al.
Published: (2026)

Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
by: Yan, Bo, et al.
Published: (2025)

FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
by: Yao, Dezhong, et al.
Published: (2024)

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
by: Lv, Zheqi, et al.
Published: (2025)

A Big Data Architecture for Early Identification and Categorization of Dark Web Sites
by: Pastor-Galindo, Javier, et al.
Published: (2024)

A Model-agnostic Strategy to Mitigate Embedding Degradation in Personalized Federated Recommendation
by: Shen, Jiakui, et al.
Published: (2025)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System
by: Addison, Parker, et al.
Published: (2024)

Exact Nearest-Neighbor Search on Energy-Efficient FPGA Devices
by: Dazzi, Patrizio, et al.
Published: (2025)

MeritRank: Sybil Tolerant Reputation for Merit-based Tokenomics
by: Nasrulin, Bulat, et al.
Published: (2022)

Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
by: Cheng, Rongxin, et al.
Published: (2024)

Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents
by: Huang, Long, et al.
Published: (2025)

Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
by: Raghavan, Deepti, et al.
Published: (2024)

Data Dams: A Novel Framework for Regulating and Managing Data Flow in Large-Scale Systems
by: Bouke, Mohamed Aly, et al.
Published: (2025)

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
by: Dhasade, Akash, et al.
Published: (2025)

Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance
by: Liu, Shangyu, et al.
Published: (2025)

Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures
by: Qin, Ruiyang, et al.
Published: (2024)

Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means
by: Mussabayev, Rustam, et al.
Published: (2024)

Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation
by: Qin, Jiangcheng, et al.
Published: (2025)

G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
by: Xiao, Youshao, et al.
Published: (2024)

SIVF: GPU-Resident IVF Index for Streaming Vector Search
by: Zhao, Dongfang
Published: (2026)

Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
by: Zakharova, Anastasiia, et al.
Published: (2024)

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation
by: Luo, Liang, et al.
Published: (2024)

An OPC UA-based industrial Big Data architecture
by: Hirsch, Eduard, et al.
Published: (2023)

Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
by: Zhang, Lei, et al.
Published: (2022)

GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
by: Guo, Zhuoning, et al.
Published: (2025)

A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
by: Castillo, Joshua, et al.
Published: (2026)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
by: Lv, Zheqi, et al.
Published: (2022)

Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)

Accelerating Retrieval-Augmented Generation
by: Quinn, Derrick, et al.
Published: (2024)