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RECSYS2024 Paper List

论文 作者 组织 摘要 翻译 代码 引用数
A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce Guangtao Nie, Rong Zhi, Xiaofan Yan, Yufan Du, Xiangyang Zhang, Jianwei Chen, Mi Zhou, Hongshen Chen, Tianhao Li, Ziguang Cheng, Sulong Xu, Jinghe Hu code 0
Embedding based retrieval for long tail search queries in ecommerce Akshay Kekuda, Yuyang Zhang, Arun Udayashankar code 0
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li code 0
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen code 0
Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce Ádám Tibor Czapp, Mátyás Jani, Bálint Domián, Balázs Hidasi code 0
Encouraging Exploration in Spotify Search through Query Recommendations Henrik Lindstrom, Humberto Jesús Corona Pampín, Enrico Palumbo, Alva Liu code 0
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm, Philipp Normann, Felix Stepprath code 0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning Pavan Seshadri, Shahrzad Shashaani, Peter Knees code 0
Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems Ting Yang, Li Chen code 0
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard code 0
Neighborhood-Based Collaborative Filtering for Conversational Recommendation Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley code 0
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig MacDonald, Aleksandr Vladimirovich Petrov code 0
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs Ulysse Maes, Lien Michiels, Annelien Smets code 0
Biased User History Synthesis for Personalized Long-Tail Item Recommendation Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram code 0
SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations Shirui Wang, Bohan Xie, Ling Ding, Xiaoying Gao, Jianting Chen, Yang Xiang code 0
Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming code 0
Bootstrapping Conditional Retrieval for User-to-Item Recommendations Hongtao Lin, Haoyu Chen, Jaewon Yang, Jiajing Xu code 0
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin code 0
FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems Qin Liu, Xuan Feng, Tianlong Gu, Xiaoli Liu code 0
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation Alex Shtoff, Michael Viderman, Naama HaramatyKrasne, Oren Somekh, Ariel Raviv, Tularam Ban code 0
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction Zhiming Yang, Haining Gao, Dehong Gao, Luwei Yang, Libin Yang, Xiaoyan Cai, Wei Ning, Guannan Zhang code 0
Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction Jiahui Huang, Lan Zhang, Junhao Wang, Shanyang Jiang, Dongbo Huang, Cheng Ding, Lan Xu code 0
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl code 0
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov code 0
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation VietAnh Tran, Guillaume SalhaGalvan, Bruno Sguerra, Romain Hennequin code 0
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang code 0
Multi-Behavioral Sequential Recommendation Shereen Elsayed, Ahmed Rashed, Lars SchmidtThieme code 0
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto code 0
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations Anima Singh, Trung Vu, Nikhil Mehta, Raghunandan H. Keshavan, Maheswaran Sathiamoorthy, Yilin Zheng, Lichan Hong, Lukasz Heldt, Li Wei, Devansh Tandon, Ed H. Chi, Xinyang Yi code 0
User Knowledge Prompt for Sequential Recommendation Yuuki Tachioka code 0
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets Lukas Wegmeth, Tobias Vente, Joeran Beel code 0
Personal Values and Community-Centric Environmental Recommender Systems: Enhancing Sustainability Through User Engagement Bianca Maria Deconcini code 0
Towards Empathetic Conversational Recommender Systems Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren code 0
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun code 0
Fair Reciprocal Recommendation in Matching Markets Yoji Tomita, Tomohiko Yokoyama code 0
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation Yaoyiran Li, Xiang Zhai, Moustafa Alzantot, Keyi Yu, Ivan Vulic, Anna Korhonen, Mohamed Hammad code 0
Scaling Law of Large Sequential Recommendation Models Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, JiRong Wen code 0
A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics Junting Wang, Praneet Rathi, Hari Sundaram code 0
Repeated Padding for Sequential Recommendation Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao code 0
From Clicks to Carbon: The Environmental Toll of Recommender Systems Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel code 0
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin code 0
FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations Yuchen Ding, Siqing Zhang, Boyu Fan, Wei Sun, Yong Liao, Peng Yuan Zhou code 0
Multi-Objective Recommendation via Multivariate Policy Learning Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko code 0
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations Jan Hartman, Hitesh Sagtani, Julie Tibshirani, Rishabh Mehrotra code 0
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn) Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede code 0
Leveraging LLM generated labels to reduce bad matches in job recommendations Yingchi Pei, Yi Wei Pang, Warren Cai, Nilanjan Sengupta, Dheeraj Toshniwal code 0
Toward 100TB Recommendation Models with Embedding Offloading Intaik Park, Ehsan Ardestani, Damian Reeves, Sarunya Pumma, Henry Tsang, Levy Zhao, Jian He, Joshua Deng, Dennis Van Der Staay, Yu Guo, Paul Zhang code 0
LLMs for User Interest Exploration in Large-scale Recommendation Systems Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen code 0
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation Andres Ferraro, Michael D. Ekstrand, Christine Bauer code 0
Pay Attention to Attention for Sequential Recommendation Yuli Liu, Min Liu, Xiaojing Liu code 0
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation Zafar Ali, Guilin Qi, Irfan Ullah, Adam A. Q. Mohammed, Pavlos Kefalas, Khan Muhammad code 0
Self-Attentive Sequential Recommendations with Hyperbolic Representations Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets code 0
It's (not) all about that CTR: A Multi-Stakeholder Perspective on News Recommender Metrics Hanne Vandenbroucke, Annelien Smets code 0
Recommending Personalised Targeted Training Adjustments for Marathon Runners Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth code 0
Recommending Healthy and Sustainable Meals exploiting Food Retrieval and Large Language Models Alessandro Petruzzelli, Cataldo Musto, Michele Ciro Di Carlo, Giovanni Tempesta, Giovanni Semeraro code 0
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations Anton Klenitskiy, Anna Volodkevich, Anton Pembek, Alexey Vasilev code 0
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks Jiaye Lin, Shuang Peng, Zhong Zhang, Peilin Zhao code 0
Leveraging Monte Carlo Tree Search for Group Recommendation Antonela Tommasel, J. Andres DiazPace code 0
Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems Mahta Bakhshizadeh code 0
AI-based Human-Centered Recommender Systems: Empirical Experiments and Research Infrastructure Ruixuan Sun code 0
Learning Personalized Health Recommendations via Offline Reinforcement Learning Larry Donald Preuett code 0
Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems Alessandro Petruzzelli code 0
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction Yi Wu, Daryl Chang, Jennifer She, Zhe Zhao, Li Wei, Lukasz Heldt code 0
Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders Robin Ungruh, Karlijn Dinnissen, Anja Volk, Maria Soledad Pera, Hanna Hauptmann code 0
Discerning Canonical User Representation for Cross-Domain Recommendation Siqian Zhao, Sherry Sahebi code 0
Prompt Tuning for Item Cold-start Recommendation Yuezihan Jiang, Gaode Chen, Wenhan Zhang, Jingchi Wang, Yinjie Jiang, Qi Zhang, Jingjian Lin, Peng Jiang, Kaigui Bian code 0
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio code 0
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi code 0
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng code 0
MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices Jiang Li, Zhen Zhang, Xiang Feng, Muyang Li, Yongqi Liu, Lantao Hu code 0
beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems Vojtech Vancura, Pavel Kordík, Milan Straka code 0
Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures Thomas Elmar Kolb code 0
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan code 0
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin code 0
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias Lulu Dong, Guoxiu He, Aixin Sun code 0
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data Kristina Matrosova, Lilian Marey, Guillaume SalhaGalvan, Thomas Louail, Olivier Bodini, Manuel Moussallam code 0
Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training Jingyu Chen, Lilin Zhang, Ning Yang code 0
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations Alessandro Petruzzelli, Cataldo Musto, Lucrezia Laraspata, Ivan Rinaldi, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro code 0
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He code 0
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction Wenhao Li, Jie Zhou, Chuan Luo, Chao Tang, Kun Zhang, Shixiong Zhao code 0
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang code 0
MARec: Metadata Alignment for cold-start Recommendation Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel code 0
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He code 0
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang code 0
Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang code 0
Informfully - Research Platform for Reproducible User Studies Lucien Heitz, Julian Andrea Croci, Madhav Sachdeva, Abraham Bernstein code 0
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems Shuo Su, Xiaoshuang Chen, Yao Wang, Yulin Wu, Ziqiang Zhang, Kaiqiao Zhan, Ben Wang, Kun Gai code 0
Analyzing User Preferences and Quality Improvement on Bing's WebPage Recommendation Experience with Large Language Models Jaidev Shah, Gang Luo, Jialin Liu, Amey Barapatre, Fan Wu, Chuck Wang, Hongzhi Li code 0
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention Rengan Xu, Junjie Yang, Yifan Xu, Hong Li, Xing Liu, Devashish Shankar, Haoci Zhang, Meng Liu, Boyang Li, Yuxi Hu, Mingwei Tang, Zehua Zhang, Tunhou Zhang, Dai Li, Sijia Chen, GianPaolo Musumeci, Jiaqi Zhai, Bill Zhu, Hong Yan, Srihari Reddy code 0
Enhancing Recommendation Quality of the SASRec Model by Mitigating Popularity Bias Venkata Harshit Koneru, Xenija Neufeld, Sebastian Loth, Andreas Grün code 0
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training YiPing Hsu, PoWei Wang, Chantat Eksombatchai, Jiajing Xu code 0
Towards Understanding The Gaps of Offline And Online Evaluation Metrics: Impact of Series vs. Movie Recommendations Bora Edizel, Tim Sweetser, Ashok Chandrashekar, Kamilia Ahmadi, Puja Das code 0
Data Augmentation using Reverse Prompt for Cost-Efficient Cold-Start Recommendation Genki Kusano code 0
Positive-Sum Impact of Multistakeholder Recommender Systems for Urban Tourism Promotion and User Utility Pavel Merinov, Francesco Ricci code 0
Calibrating the Predictions for Top-N Recommendations Masahiro Sato code 0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation Jieming Zhu, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li code 0
Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl code 0
One-class recommendation systems with the hinge pairwise distance loss and orthogonal representations Ramin Raziperchikolaei, Youngjoo Chung code 0
Is It Really Complementary? Revisiting Behavior-based Labels for Complementary Recommendation Kai Sugahara, Chihiro Yamasaki, Kazushi Okamoto code 0
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities Linus W. Dietz, Sanja Scepanovic, Ke Zhou, Daniele Quercia code 0
Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations Ine Coppens, Toon De Pessemier, Luc Martens code 0
Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems Zheng Ju, Honghui Du, Elias Z. Tragos, Neil Hurley, Aonghus Lawlor code 0
Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues Tri Kurniawan Wijaya, Edoardo D'Amico, Gábor Fodor, Manuel V. Loureiro code 0
RePlay: a Recommendation Framework for Experimentation and Production Use Alexey Vasilev, Anna Volodkevich, Denis Kulandin, Tatiana Bysheva, Anton Klenitskiy code 0
Conducting Recommender Systems User Studies Using POPROX Robin Burke, Joseph A. Konstan, Michael D. Ekstrand code 0
Conducting User Experiments in Recommender Systems Bart P. Knijnenburg, Edward C. Malthouse code 0
Multimodal Representation Learning for High-Quality Recommendations in Cold-Start and Beyond-Accuracy Marta Moscati code 0
Bias in Book Recommendation Savvina Daniil code 0
A New Perspective in Health Recommendations: Integration of Human Pose Estimation Gaetano Dibenedetto code 0
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu code 0
Large Language Models as Evaluators for Recommendation Explanations Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang code 0
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen code 0
Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm Pasquale Lops, Antonio Silletti, Marco Polignano, Cataldo Musto, Giovanni Semeraro code 0
A Comparative Analysis of Text-Based Explainable Recommender Systems Alejandro ArizaCasabona, Ludovico Boratto, Maria Salamó code 0
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu code 0
AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders Elizabeth Gómez, David Contreras, Ludovico Boratto, Maria Salamó code 0
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable Omar Besbes, Yash Kanoria, Akshit Kumar code 0
Fair Augmentation for Graph Collaborative Filtering Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda code 0
Adaptive Fusion of Multi-View for Graph Contrastive Recommendation Mengduo Yang, Yi Yuan, Jie Zhou, Meng Xi, Xiaohua Pan, Ying Li, Yangyang Wu, Jinshan Zhang, Jianwei Yin code 0
One-class Matrix Factorization: Point-Wise Regression-Based or Pair-Wise Ranking-Based? ShengWei Chen, ChihJen Lin code 0
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen code 0
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline Aleksandr Milogradskii, Oleg Lashinin, Alexander P, Marina Ananyeva, Sergey Kolesnikov code 0
ReChorus2.0: A Modular and Task-Flexible Recommendation Library Jiayu Li, Hanyu Li, Zhiyu He, Weizhi Ma, Peijie Sun, Min Zhang, Shaoping Ma code 0
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation Zixuan Yi, Iadh Ounis code 0
Information-Controllable Graph Contrastive Learning for Recommendation Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, TatSeng Chua code 0
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang code 0
Reproducibility and Analysis of Scientific Dataset Recommendation Methods Ornella Irrera, Matteo Lissandrini, Daniele Dell'Aglio, Gianmaria Silvello code 0
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning Xiao Yu, Jinzhong Zhang, Zhou Yu code 0
Unified Denoising Training for Recommendation Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, YewSoon Ong code 0
Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data Mahta Bakhshizadeh, Heiko Maus, Andreas Dengel code 0
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng code 0
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen code 0
Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu code 0
Entity-Aware Collections Ranking: A Joint Scoring Approach Sihao Chen, Sheng Li, Youhe Chen, Dong Yang code 0
Improving Data Efficiency for Recommenders and LLMs Noveen Sachdeva, Benjamin Coleman, WangCheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng code 0
LyricLure: Mining Catchy Hooks in Song Lyrics to Enhance Music Discovery and Recommendation Siddharth Sharma, Akshay Shukla, Ajinkya Walimbe, Tarun Sharma, Joaquin Delgado code 0
Optimizing for Participation in Recommender System Yuan Shao, Bibang Liu, Sourabh Bansod, Arnab Bhadury, Mingyan Gao, Yaping Zhang code 0
Playlist Search Reinvented: LLMs Behind the Curtain Geetha Sai Aluri, Siddharth Sharma, Tarun Sharma, Joaquin Delgado code 0
Privacy Preserving Conversion Modeling in Data Clean Room Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei code 0
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini code 0
Scale-Invariant Learning-to-Rank Alessio Petrozziello, Christian Sommeregger, YeSheen Lim code 0
Sliding Window Training - Utilizing Historical Recommender Systems Data for Foundation Models Swanand Joshi, Yesu Feng, KoJen Hsiao, Zhe Zhang, Sudarshan Lamkhede code 0
Why the Shooting in the Dark Method Dominates Recommender Systems Practice David Rohde code 0
MAWI Rec: Leveraging Severe Weather Data in Recommendation Brendan Andrew Duncan, Surya Kallumadi, Taylor BergKirkpatrick, Julian J. McAuley code 0
Towards Green Recommender Systems: Investigating the Impact of Data Reduction on Carbon Footprint and Algorithm Performances Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro code 0
Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, JiRong Wen code 0
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan code 0
Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems YanMartin Tamm, Anna Aljanaki code 0
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma code 0
Societal Sorting as a Systemic Risk of Recommenders Luke Thorburn, Maria Polukarov, Carmine Ventre code 0
Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation Geon Lee, Kyungho Kim, Kijung Shin code 0
Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning Henri Jamet, Maxime Manderlier, Yash Raj Shrestha, Michalis Vlachos code 0
Fairness Matters: A look at LLM-generated group recommendations Antonela Tommasel code 0
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad AbdulMageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long code 0
Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation Zeyuan Meng, Zixuan Yi, Iadh Ounis code 0
Can Editorial Decisions Impair Journal Recommendations? Analysing the Impact of Journal Characteristics on Recommendation Systems Elias Entrup, Ralph Ewerth, Anett Hoppe code 0
Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation System Alexander Eggerth, Javier Argota SánchezVaquerizo, Dirk Helbing, Sachit Mahajan code 0
KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol code 0
Social Choice for Heterogeneous Fairness in Recommendation Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke code 0
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, VietMan Le code 0
Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle code 0
Understanding Fairness in Recommender Systems: A Healthcare Perspective Veronica Kecki, Alan Said code 0
Multi-Preview Recommendation via Reinforcement Learning Yang Xu, KuanTing Lai, Pengcheng Xiong, Zhong Wu code 0
A Tool for Explainable Pension Fund Recommendations using Large Language Models Eduardo Alves da Silva, Leandro Balby Marinho, Edleno Silva de Moura, Altigran Soares da Silva code 0
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen code 0
RecTemp: Temporal Reasoning in Recommendation Systems Adir Solomon, Tsvi Kuflik, Bracha Shapira, Ido Guy code 0
Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES) Alan Said, Christine Bauer, Eva Zangerle code 0
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri code 0
Deep Recommendation using Graphs Panagiotis Symeonidis code 0
Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare Bereket Abera Yilma code 0
Economics of Recommender Systems Emilio Calvano, Giacomo Calzolari, Vincenzo Denicolò, Sergio Pastorello code 0
A Tutorial on Feature Interpretation in Recommender Systems Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen code 0
Bridging Viewpoints in News with Recommender Systems Jia Hua Jeng code 0
Evaluating the Pros and Cons of Recommender Systems Explanations Kathrin Wardatzky code 0
Explainable Multi-Stakeholder Job Recommender Systems Roan Schellingerhout code 0
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