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RecSys

AI/ML마감

ACM Conference on Recommender Systems

📍 Minneapolis, MN, USA · 2026-09-28 ~ 2026-10-02

공식 웹사이트DBLP정보 오류 신고
채택률19.1%(2024, 73/383)
키워드LLMMultimodalBiasDatasetConversational

기관 인정 현황?

BK21
1점
KIISE
우수
KAIST
우수
SNU
—
POST
우수

데드라인

2026 (main)
📍 Minneapolis, MN, USA
📋 Abstract: 2026-04-14
📝 Paper: 2026-04-21
📬 Notification: 2026-07-09
📅 학회: 2026-09-28 ~ 2026-10-02

데드라인은 변경될 수 있습니다. 제출 전 공식 웹사이트에서 최종 일정을 확인하세요.

Acceptance Rate?

연도제출채택채택률
20213135918.8%
20223305617%
20233625414.9%
20243837319.1%

Research Trend?

Best Papers

🏆 2025Best Paper Award
You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
Giovanni De ToniErasmo PurificatoEmilia GomezAndrea PasseriniBruno LepriCristian Consonni
🏆 2025Best Paper Award
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
Amir Reza MohammadiAndreas PeintnerMichael MüllerEva Zangerle
Recommender Systems
🏆 2024Best Paper Award
Towards Empathetic Conversational Recommender Systems
Xiaoyu ZhangRuobing XieYougang LyuXin XinPengjie RenMingfei LiangBo ZhangZhanhui KangMaarten de RijkeZhaochun Ren
Recommender Systems
🏆 2024Best Paper Award
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
Guy AridorDuarte GoncalvesRuoyan KongDaniel KluverJoseph Konstan
Recommender Systems
🏆 2024Best Student Paper Award
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data
Yuhan ZhaoRui ChenQilong HanHongtao SongLi Chen
🏆 2023Best Paper Award
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
Aleksandr V. PetrovCraig Macdonald
recommender-systems
🏆 2023Best Paper Runner-Up
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
Boming YangDairui LiuToyotaro SuzumuraRuihai DongIrene Li
🏆 2023Best Paper Runner-Up
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation
Dugang LiuYuhao WuWeixin LiXiaolian ZhangHao WangQinjuan YangZhong Ming
EmbeddingsRecommender Systems
🏆 2023Best Paper Award
Interpretable User Retention Modeling in Recommendation
Rui DingRuobing XieXiaobo HaoXiaochun YangKaikai GeXu ZhangJie ZhouLeyu Lin
Explainable AIRecommender Systems
🏆 2023Best Paper Runner-Up
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering
Martin SpišákRadek BartyzalAntonín HoskovecLadislav PeškaMiroslav Tůma
Autoencoders
🏆 2023Best Paper Runner-Up
Of Spiky SVDs and Music Recommendation
Darius AfcharRomain HennequinVincent Guigue
Recommender Systems
🏆 2022Best Paper Award
Denoising Self-Attentive Sequential Recommendation
Huiyuan ChenYusan LinMenghai PanLan WangChin-Chia Michael YehXiaoting LiYan ZhengFei WangHao Yang
recommender-systems
🏆 2022Best Student Paper Award
Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences
Yu LiangMartijn C. Willemsen
ExplorationMusic Generation
🏆 2022Best Paper Runner-Up
Modelling Two-Way Selection Preference for Person-Job Fit
Chen YangYupeng HouYang SongTao ZhangJi-Rong WenWayne Xin Zhao
🏆 2022Best Paper Runner-Up
RADio – Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations
Sanne VrijenhoekGabriel BénédictMateo GutierrezDaan OdijkMaarten de Rijke
🏆 2021Best Paper Award
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
Matus TomleinBranislav PecherJakub SimkoIvan SrbaRobert MoroElena StefancovaMichal KompanAndrea HrckovaJuraj PodrouzekMaria Bielikova
recommender-systems
🏆 2021Best Student Paper Award
Pessimistic Reward Models for Off-Policy Learning in Recommendation
Olivier JeunenBart Goethals
Recommender Systems

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