Winning Solution For Meta KDD Cup' 24
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Yikuan, Chen, Jiazun, Gao, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DB3 Team's Solution For Meta KDD Cup' 25
by: Xia, Yikuan, et al.
Published: (2025)
by: Xia, Yikuan, et al.
Published: (2025)
Revisiting the Solution of Meta KDD Cup 2024: CRAG
by: Ouyang, Jie, et al.
Published: (2024)
by: Ouyang, Jie, et al.
Published: (2024)
Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering
by: Zhang, Zijian, et al.
Published: (2025)
by: Zhang, Zijian, et al.
Published: (2025)
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025)
by: Xia, Yikuan, et al.
Published: (2025)
A Technical Report on the Second Place Solution for the CIKM 2025 AnalytiCup Competition
by: Xie, Haotao, et al.
Published: (2025)
by: Xie, Haotao, et al.
Published: (2025)
ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
by: Hu, Yikuan, et al.
Published: (2025)
by: Hu, Yikuan, et al.
Published: (2025)
Improving Product Search Relevance with EAR-MP: A Solution for the CIKM 2025 AnalytiCup
by: Lim, JaeEun, et al.
Published: (2025)
by: Lim, JaeEun, et al.
Published: (2025)
Winning Amazon KDD Cup'24
by: Deotte, Chris, et al.
Published: (2024)
by: Deotte, Chris, et al.
Published: (2024)
Predicting Award Winning Research Papers at Publication Time
by: Vella, Riccardo, et al.
Published: (2024)
by: Vella, Riccardo, et al.
Published: (2024)
WSDM Cup 2026 Multilingual Retrieval: A Low-Cost Multi-Stage Retrieval Pipeline
by: Hao, Chentong, et al.
Published: (2026)
by: Hao, Chentong, et al.
Published: (2026)
APrompt4EM: Augmented Prompt Tuning for Generalized Entity Matching
by: Xia, Yikuan, et al.
Published: (2024)
by: Xia, Yikuan, et al.
Published: (2024)
MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation
by: Wu, Wenhao, et al.
Published: (2024)
by: Wu, Wenhao, et al.
Published: (2024)
Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)
by: Zheng, Kehan, et al.
Published: (2026)
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations
by: Luo, Liang, et al.
Published: (2025)
by: Luo, Liang, et al.
Published: (2025)
Multi-LLM Token Filtering and Routing for Sequential Recommendation
by: Chen, Wuhan, et al.
Published: (2026)
by: Chen, Wuhan, et al.
Published: (2026)
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation
by: Chen, Wuhan, et al.
Published: (2025)
by: Chen, Wuhan, et al.
Published: (2025)
Topics evolution through multilayer networks; Analysing 2M tweets from 2022 Qatar FIFA World Cup
by: Russo, Andrea, et al.
Published: (2024)
by: Russo, Andrea, et al.
Published: (2024)
Business and Libraries: A Winning Partnership.
by: Barrett, Deanne, et al.
Published: (1998)
by: Barrett, Deanne, et al.
Published: (1998)
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)
by: Shi, Yuxiang, et al.
Published: (2022)
STCRank: Spatio-temporal Collaborative Ranking for Interactive Recommender System at Kuaishou E-shop
by: Xia, Boyang, et al.
Published: (2026)
by: Xia, Boyang, et al.
Published: (2026)
Meta Learning to Rank for Sparsely Supervised Queries
by: Wu, Xuyang, et al.
Published: (2024)
by: Wu, Xuyang, et al.
Published: (2024)
Efficient Indexing of Meta-Data (Extracted from Educational Videos)
by: Kumbham, Shalika, et al.
Published: (2023)
by: Kumbham, Shalika, et al.
Published: (2023)
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
by: Peng, Bo, et al.
Published: (2023)
by: Peng, Bo, et al.
Published: (2023)
FUTURAL: A Metasearch Platform for Empowering Rural Areas with Smart Solutions
by: Popovici, Matei, et al.
Published: (2026)
by: Popovici, Matei, et al.
Published: (2026)
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images
by: Yu, Jinchen, et al.
Published: (2025)
by: Yu, Jinchen, et al.
Published: (2025)
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation
by: Boratto, Ludovico, et al.
Published: (2024)
by: Boratto, Ludovico, et al.
Published: (2024)
The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination
by: Staudinger, Moritz, et al.
Published: (2026)
by: Staudinger, Moritz, et al.
Published: (2026)
Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation
by: Zhang, Shiwen, et al.
Published: (2025)
by: Zhang, Shiwen, et al.
Published: (2025)
Retrieval Augmentation via User Interest Clustering
by: Lyu, Hanjia, et al.
Published: (2024)
by: Lyu, Hanjia, et al.
Published: (2024)
Rethinking Multi-objective Ranking Ensemble in Recommender System: From Score Fusion to Rank Consistency
by: Xia, Boyang, et al.
Published: (2026)
by: Xia, Boyang, et al.
Published: (2026)
The SemIoE Ontology: A Semantic Model Solution for an IoE-based Industry
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems
by: Zhou, Kang, et al.
Published: (2025)
by: Zhou, Kang, et al.
Published: (2025)
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems
by: Srirangamsridharan, Shreeranjani, et al.
Published: (2025)
by: Srirangamsridharan, Shreeranjani, et al.
Published: (2025)
Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
by: Chen, Ruijun, et al.
Published: (2026)
by: Chen, Ruijun, et al.
Published: (2026)
Meta-experiments: Improving experimentation through experimentation
by: Müller, Melanie J. I.
Published: (2024)
by: Müller, Melanie J. I.
Published: (2024)
Robust kernel-free quadratic surface twin support vector machine with capped $L_1$-norm distance metric
by: Si, Qi, et al.
Published: (2024)
by: Si, Qi, et al.
Published: (2024)
MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation
by: Zhu, Xiaofei, et al.
Published: (2024)
by: Zhu, Xiaofei, et al.
Published: (2024)
Beyond the Trigger: Learning Collaborative Context for Generalizable Trigger-Induced Recommendation
by: Gao, Chen, et al.
Published: (2024)
by: Gao, Chen, et al.
Published: (2024)
All-domain Moveline Evolution Network for Click-Through Rate Prediction
by: Gao, Chen, et al.
Published: (2024)
by: Gao, Chen, et al.
Published: (2024)
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
by: Gao, Chen, et al.
Published: (2025)
by: Gao, Chen, et al.
Published: (2025)
Similar Items
-
DB3 Team's Solution For Meta KDD Cup' 25
by: Xia, Yikuan, et al.
Published: (2025) -
Revisiting the Solution of Meta KDD Cup 2024: CRAG
by: Ouyang, Jie, et al.
Published: (2024) -
Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering
by: Zhang, Zijian, et al.
Published: (2025) -
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025) -
A Technical Report on the Second Place Solution for the CIKM 2025 AnalytiCup Competition
by: Xie, Haotao, et al.
Published: (2025)