Recommender Systems

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan et al.

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng et al.

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

Jinfeng Xu, Zheyu Chen, Shuo Yang et al.

No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.

Spectral-Based Graph Neutral Networks for Complementary Item Recommendation

Haitong Luo, Xuying Meng, Suhang Wang et al.

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao et al.

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach

Zhiwei Li, Guodong Long, Tianyi Zhou et al.

Review-Enhanced Hierarchical Contrastive Learning for Recommendation

Ke Wang, Yanmin Zhu, Tianzi Zang et al.

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization

Guanghan Li, Xun Zhang, Yufei Zhang et al.

Efficient Inference for Large Language Model-based Generative Recommendation

Xinyu Lin, Chaoqun Yang, Wenjie Wang et al.

CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation

Yuting Liu, Jinghao Zhang, Yizhou Dang et al.

Long-Sequence Recommendation Models Need Decoupled Embeddings

Ningya Feng, Junwei Pan, Jialong Wu et al.

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Qi Liu, Xuyang Hou, Defu Lian et al.

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Hantao Yang, Xutong Liu, Zhiyong Wang et al.

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations

Junpeng Fang, Gongduo Zhang, Qing Cui et al.

Multimodal Quantitative Language for Generative Recommendation

Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang et al.

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens

Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen et al.

Towards Robustness and Explainability of Automatic Algorithm Selection

Xingyu Wu, Jibin Wu, Yu Zhou et al.

Advantage Alignment Algorithms

Juan Duque, Milad Aghajohari, Timotheus Cooijmans et al.

Learning-Augmented Search Data Structures

Chunkai Fu, Brandon G. Nguyen, Jung Seo et al.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Chunxu Zhang, Guodong Long, Hongkuan Guo et al.

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation

Qijiong Liu, Jieming Zhu, Lu Fan et al.

Policy Design for Two-sided Platforms with Participation Dynamics

Haruka Kiyohara, Fan Yao, Sarah Dean

GraSP: Simple Yet Effective Graph Similarity Predictions

Haoran Zheng, Jieming Shi, Renchi Yang

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation

Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking

Yuhan Zhao, Rui Chen, Li Chen et al.

Neural Combinatorial Clustered Bandits for Recommendation Systems

Baran Atalar, Carlee Joe-Wong

Approximation algorithms for combinatorial optimization with predictions

Antonios Antoniadis, Marek Elias, Adam Polak et al.

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

Qile Fan, Penghang Yu, Zhiyi Tan et al.

Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All

Ermis Soumalias, Jakob Heiss, Jakob Weissteiner et al.

Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem

Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation

Yatong Sun, Xiaochun Yang, Zhu Sun et al.

Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation

Yihao Wang, Jiajie Su, Chaochao Chen et al.

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution

Shengjia Zhang, Jiawei Chen, Changdong Li et al.

Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.

Accelerating data-driven algorithm selection for combinatorial partitioning problems

Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li et al.

Intent Oriented Contrastive Learning for Sequential Recommendation

Wuhong Wang, Jianhui Ma, Yuren Zhang et al.

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction

Hongtao Huang, Chengkai Huang, Junda Wu et al.

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking

Soyoung Yoon, Gyuwan Kim, Gyu-Hwung Cho et al.

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation

Sanghyuck Lee, Sangkeun Park, Jaesung Lee

TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems

Jiahao Yu, Haozhuang Liu, Yeqiu Yang et al.

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Jiaqi Zhai, Yunxing Liao, Xing Liu et al.

V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models

Jisoo Kim, Wooseok Seo, Junwan Kim et al.

Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation

Qing Yu, Xiaobei Wang, Shuchang Liu et al.

ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets

Bohdan Turbal, Iryna Voitsitska, Lesia Semenova

Tree of Preferences for Diversified Recommendation

Hanyang Yuan, Ning Tang, Tongya Zheng et al.

Counterfactual Implicit Feedback Modeling

Chuan Zhou, Lina Yao, Haoxuan Li et al.

Fine-grained List-wise Alignment for Generative Medication Recommendation

Chenxiao Fan, Chongming Gao, Wentao Shi et al.

Learning-Augmented Online Bipartite Fractional Matching

XianJun, Davin Choo, Billy Jin, Yongho Shin

Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms

Ziwei Li, Bo Sun, Zhiqiu Zhang et al.

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation

Guoqing Hu, An Zhang, Shuchang Liu et al.

SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation

Yinghui Liu, Hao Miao, Guojiang Shen et al.

Evolutionary Prediction Games

Eden Saig, Nir Rosenfeld

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation

Wei Yang, Rui Zhong, Yiqun Chen et al.

VisualLens: Personalization through Task-Agnostic Visual History

Wang Bill Zhu, Deqing Fu, Kai Sun et al.

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

Yuhao Yang, ZhI JI, Zhaopeng Li et al.

The Burden of Interactive Alignment with Inconsistent Preferences

Ali Shirali

ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests

Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.

Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation

Kai Zheng, Jianxin Wang, Jinhui Xu

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Antonis Antoniades, Albert Örwall, Kexun Zhang et al.

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation

Chen Xu, Yuxin Li, Wenjie Wang et al.

ContextGNN: Beyond Two-Tower Recommendation Systems

Yiwen Yuan, Zecheng Zhang, Xinwei He et al.

Preference Diffusion for Recommendation

Shuo Liu, An Zhang, Guoqing Hu et al.

Social Recommendation via Graph-Level Counterfactual Augmentation

Yinxuan Huang, Ke Liang, Yanyi Huang et al.

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation

Shuwei Gong, Yuting Liu, Yizhou Dang et al.

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation

Hourun Li, Yifan Wang, Zhiping Xiao et al.

Disentangled Contrastive Bundle Recommendation with Conditional Diffusion

Jiuqiang Li

Iterative Sparse Attention for Long-sequence Recommendation

Guanyu Lin, Jinwei Luo, Yinfeng Li et al.

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

Fanshen Meng, Zhenhua Meng, Ru Jin et al.

Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks

Lingyu Mu, Zhengxiao Liu, Zhitong Zhu et al.

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation

Yuxin Qi, Quan Zhang, Xi Lin et al.

Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation

Nian Rong, Fei Xiong, Shirui Pan et al.

Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience

Brijraj Singh, Sonal, Niranjan Pedanekar

Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation

Chao Song, Zheng Ren, Li Lu

ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation

Piao Tong, Qiao Liu, Zhipeng Zhang et al.

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation

Shicheng Wang, Hengzhu Tang, Li Gao et al.

Federated Recommendation with Explicitly Encoding Item Bias

Zhihao Wang, He Bai, Wenke Huang et al.

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation

Zhiqiang Wang, Jiayi Pan, Xingwang Zhao et al.

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Cheng Wu, Liang Su, Chaokun Wang et al.

Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering

Mingtao Xu, Wei Wei, Peixuan Yang et al.

Mind Individual Information! Principal Graph Learning for Multimedia Recommendation

Penghang Yu, Zhiyi Tan, Guanming Lu et al.

Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation

Jinyu Zhang, Zhongying Zhao, Chao Li et al.

Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective

Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.

Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents

Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins

Learning Personalized Decision Support Policies

Umang Bhatt, Valerie Chen, Katherine M. Collins et al.

Scalable Decentralized Algorithms for Online Personalized Mean Estimation

Franco Galante, Giovanni Neglia, Emilio Leonardi

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation

Wenwen Gong, Yangliao Geng, Dan Zhang et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.

VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation

A Goal Interaction Graph Planning Framework for Conversational Recommendation

Xiaotong Zhang, Xuefang Jia, Han Liu et al.

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

Yijun Ma, Chaozhuo Li, Xiao Zhou

11879 Distributional Off-Policy Evaluation for Slate Recommendations

Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.