From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval.

[BibT_eX]

[DOI]

Jian Jia

Jingtong Gao

CoRR, February, 2025

Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.

[BibT_eX]

[DOI]

CoRR, January, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

CoRR, January, 2025

PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Multi-scenario Instance Embedding Learning for Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

AgentIR: 2nd Workshop on Agent-based Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generative Auto-Bidding with Value-Guided Explorations.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

ZeroED: Hybrid Zero-Shot Error Detection Through Large Language Model Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

TAPO: Task-Referenced Adaptation for Prompt Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Stepwise Reasoning Disruption Attack of LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Training-free LLM Merging for Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

SIGMA: Selective Gated Mamba for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LLM-Powered User Simulator for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Multi-Level Graph Knowledge Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Large language models for generative information extraction: a survey.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2024

Recommender Systems in the Era of Large Language Models (LLMs).

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

A Comprehensive Survey on Automated Machine Learning for Recommendations.

[BibT_eX]

[DOI]

Trans. Recomm. Syst., June, 2024

Automatic Data Repair: Are We Ready to Deploy?

[BibT_eX]

[DOI]

Proc. VLDB Endow., June, 2024

Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions.

[BibT_eX]

[DOI]

IEEE Internet Things J., June, 2024

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., May, 2024

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., January, 2024

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Stepwise Reasoning Error Disruption Attack of LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Tackling Data Heterogeneity in Federated Time Series Forecasting.

[BibT_eX]

[DOI]

Wei Yuan

Guanhua Ye

Xiangyu Zhao

Quoc Viet Hung Nguyen

Yang Cao

Hongzhi Yin

CoRR, 2024

Sparser Training for On-Device Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2024

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces.

[BibT_eX]

[DOI]

CoRR, 2024

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

GPRec: Bi-level User Modeling for Deep Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Empowered Embedding Generator for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.

[BibT_eX]

[DOI]

CoRR, 2024

GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Tuning as User Inherent Profile Inference Machine.

[BibT_eX]

[DOI]

CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.

[BibT_eX]

[DOI]

Sheng Zhang

Maolin Wang

Xiangyu Zhao

CoRR, 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.

[BibT_eX]

[DOI]

CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Large Language Model Architectures for Sequential Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.

[BibT_eX]

[DOI]

CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2024

The 2nd Workshop on Recommendation with Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

M<sup>3</sup>oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Optimal Transport Enhanced Cross-City Site Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

AgentIR: 1st Workshop on Agent-based Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Tensorized Hypergraph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bi-Level User Modeling for Deep Recommenders.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Scalable Dynamic Embedding Size Search for Streaming Recommendation.

[BibT_eX]

[DOI]

Quoc Viet Hung Nguyen

Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Efficient and Robust Regularized Federated Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training.

[BibT_eX]

[DOI]

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

IterClean: An Iterative Data Cleaning Framework with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2023

Large Language Models for Generative Information Extraction: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.

[BibT_eX]

[DOI]

CoRR, 2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.

[BibT_eX]

[DOI]

CoRR, 2023

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

A General Neural Causal Model for Interactive Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Embedding in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Traffic Prediction with Learnable Filter Module.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic Data Repair: Are We Ready to Deploy?

[BibT_eX]

[DOI]

CoRR, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Tensorized Hypergraph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Model for GPS Trajectory Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoDenoise: Automatic Data Instance Denoising for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoMLP: Automated MLP for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

IMF: Interactive Multimodal Fusion Model for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Denoising and Prompt-Tuning for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Single-shot Feature Selection for Multi-task Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continuous Input Embedding Size Search For Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Robust Knowledge Tracing Models via k-Sparse Attention.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoTransfer: Instance Transfer for Cross-Domain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

STRec: Sparse Transformer for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.

[BibT_eX]

[DOI]

Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Adversarial Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Diffusion Augmentation for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptive and automated deep recommender systems.

[BibT_eX]

[DOI]

Xiangyu Zhao

SIGWEB Newsl., 2022

Data Augmentation on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

A Comprehensive Survey on Trustworthy Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Srinivasan H. Sengamedu

Chandan K. Reddy

Friedhelm Victor

Bernhard Haslhofer

George Katsogiannis-Meimarakis

Vidhisha Balachandran

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Graph Trend Filtering Networks for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Automated Self-Supervised Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

MAE4Rec: Storage-saving Transformer for Sequential Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Type Urban Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses.

[BibT_eX]

[DOI]

Yogesh B. Gianchandani

Sensors, 2021

Graph Trend Networks for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Data-Efficient Reinforcement Learning for Malaria Control.

[BibT_eX]

[DOI]

CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Memory-efficient Embedding for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

CoRR, 2020

Neural Interactive Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Automated Embedding Size Search in Deep Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Jointly Learning to Recommend and Advertise.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Whole-Chain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Deep reinforcement learning for search, recommendation, and online advertising: a survey.

[BibT_eX]

[DOI]

SIGWEB Newsl., 2019

Deep Reinforcement Learning for Online Advertising in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.

[BibT_eX]

[DOI]

CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.

[BibT_eX]

[DOI]

CoRR, 2019

Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform.

[BibT_eX]

[DOI]

Xiangyu Zhao

Yutao Qin

Yogesh B. Gianchandani

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018

Crime in Urban Areas: : A Data Mining Perspective.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

SIGKDD Explor., 2018

Reinforcement Learning for Online Information Seeking.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.

[BibT_eX]

[DOI]

CoRR, 2018

Deep reinforcement learning for page-wise recommendations.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Incorporating Spatio-Temporal Smoothness for Air Quality Inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Exploring Transfer Learning for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Modeling Temporal-Spatial Correlations for Crime Prediction.

[BibT_eX]

[DOI]

Xiangyu Zhao

Jiliang Tang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploring the Choice Under Conflict for Social Event Participation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2016

Xiangyu Zhao

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