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Korea AI Labs

추천 시스템

Recommender Systems · 연구실 39곳 · 논문 120편

다른 주제·대학과 함께 찾기
POSTECH0/15
KU1/23
Yonsei8/37
KAIST15/57
SNU15/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. KAIST데이터 마이닝

    신기정Data Mining Lab

    관련 논문 12편비중 13%
    • 2026Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models RecSys
    • 2026Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation WWW
    • 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and A Simple Remedy ICML
  2. SNU데이터 마이닝

    강유Data Mining Lab

    관련 논문 10편비중 15%연구 분야에 명시
    • 2026SpikeRec: Accurate and Preference-Preserving Live-Streaming Recommendation under User-Sampled Signal Loss CIKM
    • 2026CatDive: A Simple yet Effective Method for Maximizing Category Diversity in Sequential Recommendation PLOS ONE
    • 2025Context-aware Sequential Bundle Recommendation via User-specific Representations CIKM
  3. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 9편비중 9%연구 분야에 명시
    • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering WWW
    • 2026Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback NeurIPS
    • 2026Token-Efficient Item Representation via Images for LLM Recommender Systems ICLR
  4. Yonsei자연어처리·LLM

    이동하DLI Lab

    관련 논문 9편비중 16%연구 분야에 명시
    • 2026MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender SIGIR
    • 2026WatchLens: A Configurable Platform for Online Video Recommendation Experiments RecSys
    • 2025BPL: Bias-adaptive Preference Distillation Learning for Recommender System IEEE TKDE
  5. Yonsei데이터 마이닝

    이경호ICL

    관련 논문 8편비중 32%연구 분야에 명시
    • 2026Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation ACL Findings
    • 2025CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System IEEE TKDE
    • 2025Knowledge-constrained Interest-aware Multi-behavior Recommendation with Behavior Pattern Identification Information Sciences
  6. KAIST데이터 마이닝

    박노성BigDyL

    관련 논문 7편비중 10%연구 분야에 명시
    • 2026One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets KDD
    • 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation WSDM
    • 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation NeurIPS
  7. SNU컴퓨터 비전

    이준석VIP Lab

    관련 논문 6편비중 11%연구 분야에 명시
    • 2026Probabilistic Multi-Interest Representation for Personalized Recommendation SDM
    • 2025Graph Spectral Filtering with Chebyshev Interpolation for Recommendation SIGIR
    • 2025Local Large Language Models for Recommendation CIKM
  8. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 6편비중 4%
    • 2026A Dual-Expert Strategy Integrating LLMs to Mitigate Negative Transfer in Cross-Domain Sequential Recommendation CIKM
    • 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users NeurIPS
    • 2026More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences ICLR
  9. KAISTAI 시스템

    유민수VIA Research Group

    관련 논문 6편비중 21%
    • 2025A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit IEEE Computer Architecture Letters
    • 2025Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations PACT
    • 2024ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models ISCA
  10. SNU자연어처리·LLM

    이상구IDS Lab

    관련 논문 3편비중 19%연구 분야에 명시
    • 2025Parameter-Efficiently Leveraging Session Information in Deep Learning-Based Session-Aware Sequential Recommendation IEEE Access
    • 2024Proxy-based Item Representation for Attribute and Context-aware Recommendation WSDM
    • 2024Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction EMNLP Findings
  11. SNU데이터 마이닝

    유재민Data AI Lab

    관련 논문 4편비중 15%
    • 2026PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering WWW
    • 2026ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation SIGIR
    • 2025Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation WWW
  12. KAIST데이터 마이닝

    황지영Big Data Intelligence Lab

    관련 논문 2편비중 10%연구 분야에 명시
    • 2026Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs CIKM
    • 2025Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation CIKM
  13. Yonsei자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 4편비중 8%
    • 2026MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender SIGIR
    • 2025Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation SIGIR
    • 2025Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation EMNLP Findings
  14. KAIST음성·오디오

    남주한MAC Lab

    관련 논문 3편비중 3%
    • 2026LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation RecSys
    • 2026Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking ICML
    • 2025Conversational Music Recommendation with LLM Tool Calling NeurIPS
  15. KU컴퓨터 비전

    김상필Computer Vision Lab

    관련 논문 3편비중 5%
    • 2025Prosthetic Keypoint Estimation for Alternative Exercise Recommendation in Lower Limb Disabilities Human-centric Computing and Information Sciences
    • 2024Self-Supervised Multimodal Graph Convolutional Network for Collaborative Filtering Information Sciences
    • 2023Dual Policy Learning for Aggregation Optimization in Recommender Systems WWW
  16. Yonsei데이터 마이닝

    장백철ANDLab

    관련 논문 3편비중 8%
    • 2024An approach on improving the recommender system: Predicting movie genres based on plot summaries ICAIIC
    • 2023Autoregressive decoder with extracted gap sessions for sequential/session-based recommendation IEEE Access
    • 2023Evolution of deep learning-based sequential recommender systems: from current trends to new perspectives IEEE Access
  17. Yonsei머신러닝

    조성배SCLAB

    관련 논문 2편비중 3%
    • 2025SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendatio WSDM
    • 2023Blurring-Sharpening Process Models for Collaborative Filtering SIGIR
  18. SNU데이터 마이닝

    박현우DIAL Lab

    관련 논문 1편비중 3%
    • 2026What Gets Measured Gets Managed: Sign-aware Recommendation Needs Sign-aware Evaluation NeurIPS
  19. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 1편비중 2%
    • 2026CEREAL: Personality-Driven LLM-based Conversational Recommendation Dataset with Contextually-Enriched and Realistic User Interactions Multimedia Tools and Applications
  20. KAISTAI for Science

    예종철BISPL

    관련 논문 1편비중 1%
    • 2026PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation EMNLP Findings
  21. SNU머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련 논문 2편비중 5%
    • 2023AdaptiveRec : Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation ICML
    • 2023Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation ICML
  22. KAIST데이터 마이닝

    이재길Data Mining Lab

    관련 논문 1편비중 3%
    • 2025Large Language Models are Zero-Shot Point-of-Interest Recommenders Data Mining and Knowledge Discovery
  23. KAIST머신러닝

    최재식SAIL Lab

    관련 논문 1편비중 2%
    • 2025Context-aware Negative Sampling for Sequential Recommendation IEEE Access
  24. SNUAI for Science

    손석우Weather and Climate Dynamics Lab

    관련 논문 1편비중 1%
    • 2025Compound weather and climate extremes in the Asian region: science-informed recommendations for policy Frontiers in Climate
  25. KAISTAI 시스템

    김주영CAST Lab

    관련 논문 1편비중 1%
    • 2025SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models IEEE Transactions on Computers
  26. Yonsei머신러닝

    송경우MLAI Lab

    관련 논문 1편비중 1%
    • 2025Multi-purpose Technology Commercialization Recommender System with Large-scale Korean Language Model Journal of Supercomputing
  27. SNUAI 시스템

    권태경MM Lab

    관련 논문 1편비중 5%
    • 2024Predicting Diversification Scores of Videos in Recommendation Network Expert Systems with Applications
  28. SNUAI for Science

    이승근

    관련 논문 1편비중 4%
    • 2024To weight or not to weight? The effect of selection bias in 3 large electronic health record-linked biobanks and recommendations for practice Journal of the American Medical Informatics Association
  29. SNUAI for Science

    이종호LIST

    관련 논문 1편비중 3%
    • 2024Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group Magnetic Resonance in Medicine
  30. YonseiAI 시스템

    차호정MOBED

    관련 논문 1편비중 5%
    • 2024Optimizing Profitability of E-Scooter Sharing System via Battery-aware Recommendation MobiSys
  31. SNU자연어처리·LLM

    유영재PI Lab

    관련 논문 1편비중 1%
    • 2024Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset ACL Findings
  32. SNU로보틱스

    조규진Biorobotics Lab

    관련 논문 1편비중 3%
    • 2024Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations Soft Robotics
  33. KAIST인간-AI 상호작용

    김주호KIXLAB

    관련 논문 1편비중 1%
    • 2024PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers CHI
  34. SNU머신러닝

    김태섭LAAL Lab

    관련 논문 1편비중 3%
    • 2023Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation CIKM
  35. KAIST머신러닝

    박진규System Intelligence Lab

    관련 논문 1편비중 2%
    • 2023A recommending system for mobile games using the dynamic nonparametric model Journal of Business Research
  36. KAIST컴퓨터 비전

    심현정CVML Lab

    관련 논문 1편비중 2%
    • 2023CoMix: Collaborative Filtering with Mixup for Implicit Datasets Information Sciences
  37. Yonsei컴퓨터 비전

    이종석MCML Group

    관련 논문 1편비중 3%
    • 2023Leveraging feature interaction for modeling user-item interaction in recommender systems IEEE SMC
  38. SNU컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 1편비중 1%
    • 2023Image Recommendation System Based on Environmental and Human Face Information Sensors
  39. KAIST머신러닝

    윤세영OSI Lab

    관련 논문 1편비중 1%
    • 2023Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation CIKM