JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Ke, Ros, Kevin, Kumar, Shankar Kumar Senthil, Zhai, ChengXiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
User Simulation for Evaluating Information Access Systems
by: Balog, Krisztian, et al.
Published: (2023)
by: Balog, Krisztian, et al.
Published: (2023)
Interactive Information Need Prediction with Intent and Context
by: Ros, Kevin, et al.
Published: (2025)
by: Ros, Kevin, et al.
Published: (2025)
User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation
by: Balog, Krisztian, et al.
Published: (2025)
by: Balog, Krisztian, et al.
Published: (2025)
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
by: Sun, Chenkai, et al.
Published: (2024)
by: Sun, Chenkai, et al.
Published: (2024)
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
by: Yang, Ke, et al.
Published: (2026)
by: Yang, Ke, et al.
Published: (2026)
KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
by: Qu, Changle, et al.
Published: (2025)
by: Qu, Changle, et al.
Published: (2025)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)
by: Zheng, Wenqing, et al.
Published: (2026)
Make Any Collection Navigable: Methods for Constructing and Evaluating Hypergraph of Text
by: Alvarez, Dean E., et al.
Published: (2026)
by: Alvarez, Dean E., et al.
Published: (2026)
Towards a Theoretical Understanding of Two-Stage Recommender Systems
by: Jaiswal, Amit Kumar
Published: (2024)
by: Jaiswal, Amit Kumar
Published: (2024)
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)
by: Wu, Zhuo, et al.
Published: (2024)
AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
by: Shi, Yunxiao, et al.
Published: (2026)
by: Shi, Yunxiao, et al.
Published: (2026)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)
by: Yang, Zhisheng, et al.
Published: (2025)
Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
by: Zhang, Benyu, et al.
Published: (2026)
by: Zhang, Benyu, et al.
Published: (2026)
Datasets for Navigating Sensitive Topics in Recommendation Systems
by: Kovacs, Amelia, et al.
Published: (2025)
by: Kovacs, Amelia, et al.
Published: (2025)
SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models
by: Li, Jianhong, et al.
Published: (2026)
by: Li, Jianhong, et al.
Published: (2026)
ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents
by: Kang, Hao, et al.
Published: (2024)
by: Kang, Hao, et al.
Published: (2024)
UniER: A Unified Benchmark for Item-level and Path-level Exercise Recommendation
by: Cheng, Xinghe, et al.
Published: (2026)
by: Cheng, Xinghe, et al.
Published: (2026)
DReX: An Explainable Deep Learning-based Multimodal Recommendation Framework
by: Shyam, Adamya, et al.
Published: (2026)
by: Shyam, Adamya, et al.
Published: (2026)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
Enhancing and Scaling Search Query Datasets for Recommendation Systems
by: Rodrigues, Aaron, et al.
Published: (2025)
by: Rodrigues, Aaron, et al.
Published: (2025)
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
by: Wan, Zhizhong, et al.
Published: (2024)
by: Wan, Zhizhong, et al.
Published: (2024)
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
by: Huang, Wei-Hsiang, et al.
Published: (2025)
by: Huang, Wei-Hsiang, et al.
Published: (2025)
Benchmarking Deep Neural Networks for Modern Recommendation Systems
by: Bahi, Abderaouf, et al.
Published: (2025)
by: Bahi, Abderaouf, et al.
Published: (2025)
HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
by: Xin, Lei, et al.
Published: (2026)
by: Xin, Lei, et al.
Published: (2026)
Gated Multimodal Graph Learning for Personalized Recommendation
by: Liu, Sibei, et al.
Published: (2025)
by: Liu, Sibei, et al.
Published: (2025)
Revisiting Self-attention for Cross-domain Sequential Recommendation
by: Ju, Clark Mingxuan, et al.
Published: (2025)
by: Ju, Clark Mingxuan, et al.
Published: (2025)
On Generative Agents in Recommendation
by: Zhang, An, et al.
Published: (2023)
by: Zhang, An, et al.
Published: (2023)
Better Late Than Never: Formulating and Benchmarking Recommendation Editing
by: Lai, Chengyu, et al.
Published: (2024)
by: Lai, Chengyu, et al.
Published: (2024)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)
by: Chen, Yuxin, et al.
Published: (2024)
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
by: Niu, Jiayang, et al.
Published: (2024)
by: Niu, Jiayang, et al.
Published: (2024)
ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
by: Liu, Zekun, et al.
Published: (2025)
by: Liu, Zekun, et al.
Published: (2025)
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
by: Malenšek, Miha, et al.
Published: (2024)
by: Malenšek, Miha, et al.
Published: (2024)
CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation
by: Fan, Zezhong, et al.
Published: (2026)
by: Fan, Zezhong, et al.
Published: (2026)
SimLab: A Platform for Simulation-based Evaluation of Conversational Information Access Systems
by: Bernard, Nolwenn, et al.
Published: (2025)
by: Bernard, Nolwenn, et al.
Published: (2025)
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
Think before Recommendation: Autonomous Reasoning-enhanced Recommender
by: Kong, Xiaoyu, et al.
Published: (2025)
by: Kong, Xiaoyu, et al.
Published: (2025)
Request-Only Optimization for Recommendation Systems
by: Guo, Liang, et al.
Published: (2025)
by: Guo, Liang, et al.
Published: (2025)
CARTS: Collaborative Agents for Recommendation Textual Summarization
by: Chen, Jiao, et al.
Published: (2025)
by: Chen, Jiao, et al.
Published: (2025)
User Preference Modeling for Conversational LLM Agents: Weak Rewards from Retrieval-Augmented Interaction
by: Hao, Yuren, et al.
Published: (2026)
by: Hao, Yuren, et al.
Published: (2026)
Similar Items
-
User Simulation for Evaluating Information Access Systems
by: Balog, Krisztian, et al.
Published: (2023) -
Interactive Information Need Prediction with Intent and Context
by: Ros, Kevin, et al.
Published: (2025) -
User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation
by: Balog, Krisztian, et al.
Published: (2025) -
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
by: Sun, Chenkai, et al.
Published: (2024) -
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
by: Yang, Ke, et al.
Published: (2026)