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Data Science & Analytics

4,466 papers (1 classified directly here)

Subtopics

Applications (2,978) Methods (1,725)

Papers per year

2
45
67
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588
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Papers (including subtopics)

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation AAAI 2025
SIGMA: Selective Gated Mamba for Sequential Recommendation AAAI 2025
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation AAAI 2025
Enhancing Sequential Recommendation with Global Diffusion AAAI 2025
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation AAAI 2025
Sub-Interest-Aware Representation Uniformity for Recommender System AAAI 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation AAAI 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation AAAI 2025
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model AAAI 2025
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience AAAI 2025
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation AAAI 2025
Hubness Change Point Detection AAAI 2025
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation AAAI 2025
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation AAAI 2025
POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation AAAI 2025
Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025