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RecSys 2025: Prague, Czech Republic
- Mária Bieliková, Pavel Kordík, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni:

Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025. ACM 2025, ISBN 979-8-4007-1364-4
Full papers
- Enzo Charolois-Pasqua

, Eléa Vellard, Youssra Rebboud
, Pasquale Lisena
, Raphaël Troncy
:
A Language Model-Based Playlist Generation Recommender System. 1-11 - Junrui Liu

, Tong Li
, Mingliang Yu
, Shiqiu Yang
, Zifang Tang
, Zhen Yang
:
A Multi-Factor Collaborative Prediction for Review-based Recommendation. 12-20 - Thorsten Krause

, Harrie Oosterhuis
:
A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options. 21-30 - Bereket Abera Yilma

, Luis A. Leiva
:
Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation. 31-40 - Haruka Kiyohara

, Daniel Yiming Cao
, Yuta Saito
, Thorsten Joachims
:
An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization. 41-50 - Matteo Fabbri

, Ludovico Boratto
:
Auditing Recommender Systems for User Empowerment in Very Large Online Platforms under the Digital Services Act. 51-61 - Haotian Jiang

, Sibendu Paul
, Haiyang Zhang
, Caren Chen
:
Beyond Immediate Click: Engagement-Aware and MoE-Enhanced Transformers for Sequential Movie Recommendation. 62-71 - Ruoyu Li

, Yangtao Zhou
, Chenzhang Li
, Hua Chu
, Jianan Li
, Yuhan Bian
:
Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model. 72-81 - Chang Meng

, Chenhao Zhai
, Xueliang Wang
, Shuchang Liu
, Xiaoqiang Feng
, Lantao Hu
, Xiu Li
, Han Li
, Kun Gai
:
Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework. 82-92 - Bowen Zheng, Zihan Lin

, Enze Liu
, Chen Yang, Enyang Bai, Cheng Ling
, Han Li, Wayne Xin Zhao, Ji-Rong Wen:
Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. 93-103 - Yuhan Wang

, Qing Xie
, Zhifeng Bao
, Mengzi Tang
, Lin Li
, Yongjian Liu
:
Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement. 104-113 - Weijiang Lai

, Beihong Jin
, Jiongyan Zhang
, Yiyuan Zheng
, Jian Dong
, Jia Cheng
, Jun Lei
, Xingxing Wang
:
Exploring Scaling Laws of CTR Model for Online Performance Improvement. 114-123 - Teng Shi

, Jun Xu, Xiao Zhang, Xiaoxue Zang
, Kai Zheng
, Yang Song, Enyun Yu:
GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval. 124-134 - Luyi Ma

, Wanjia Zhang
, Kai Zhao
, Abhishek Kulkarni
, Lalitesh Morishetti
, Anjana Ganesh
, Ashish Ranjan
, Aashika Padmanabhan
, Jianpeng Xu
, Jason H. D. Cho
, Praveenkumar Kanumala
, Kaushiki Nag
, Sumit Dutta
, Kamiya Motwani
, Malay Patel
, Evren Körpeoglu
, Sushant Kumar
, Kannan Achan
:
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. 135-144 - Honghui Bao

, Wenjie Wang
, Xinyu Lin
, Fengbin Zhu
, Teng Sun
, Fuli Feng
, Tat-Seng Chua
:
Heterogeneous User Modeling for LLM-based Recommendation. 145-154 - Hengyu Zhang

, Chunxu Shen
, Xiangguo Sun
, Jie Tan
, Yanchao Tan
, Yu Rong
, Hong Cheng
, Lingling Yi
:
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. 155-164 - Patrik Dokoupil

, Ludovico Boratto
, Ladislav Peska
:
How Do Users Perceive Recommender Systems' Objectives? 165-176 - Amanda Aird

, Elena Stefancova
, Anas Buhayh
, Cassidy All
, Martin Homola
, Nicholas Mattei
, Robin Burke
:
Integrating Individual and Group Fairness for Recommender Systems through Social Choice. 177-186 - Youlin Wu

, Yuanyuan Sun
, Xiaokun Zhang
, Haoxi Zhan
, Bo Xu
, Liang Yang
, Hongfei Lin
:
IP2: Entity-Guided Interest Probing for Personalized News Recommendation. 187-196 - Yuyue Zhao

, Jin Huang
, Shuchang Liu
, Jiancan Wu
, Xiang Wang
, Maarten de Rijke
:
LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. 197-206 - Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li:

Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation. 207-216 - Chaoyi Jiang

, Abdulla Alshabanah
, Murali Annavaram
:
LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models. 217-225 - Weixin Chen

, Yuhan Zhao
, Li Chen
, Weike Pan
:
Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. 226-236 - Yunzhe Li

, Junting Wang
, Hari Sundaram
, Zhining Liu
:
LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation. 237-246 - Zheng Chai

, Qin Ren
, Xijun Xiao
, Huizhi Yang
, Bo Han
, Sijun Zhang
, Di Chen
, Hui Lu
, Wenlin Zhao
, Lele Yu
, Xionghang Xie
, Shiru Ren
, Xiang Sun
, Yaocheng Tan
, Peng Xu
, Yuchao Zheng
, Di Wu
:
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders. 247-256 - Mesut Kaya

, Toine Bogers
:
Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring. 257-267 - Yutong Li

, Xinyi Zhang
:
MDSBR: Multimodal Denoising for Session-based Recommendation. 268-278 - Haocheng Dou

, Tao Lian
, Xin Xin
:
Measuring Interaction-Level Unlearning Difficulty for Collaborative Filtering. 279-288 - Weijiang Lai

, Beihong Jin
, Yapeng Zhang
, Yiyuan Zheng
, Rui Zhao
, Jian Dong
, Jun Lei
, Xingxing Wang
:
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction. 289-298 - Weicong Qin

, Yi Xu
, Weijie Yu
, Chenglei Shen
, Xiao Zhang
, Ming He
, Jianping Fan
, Jun Xu
:
MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. 299-308 - Xu Zhao

, Ruibo Ma
, Jiaqi Chen
, Weiqi Zhao
, Ping Yang
, Yao Hu
:
Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network. 309-318 - Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai:

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. 319-329 - Zhongyu Ouyang

, Mingxuan Ju
, Soroush Vosoughi
, Yanfang Ye
:
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. 330-339 - Yudai Hayashi

, Shuhei Goda
, Yuta Saito
:
Off-Policy Evaluation and Learning for Matching Markets. 340-349 - Peiyao Wang

, Zhan Shi
, Amina Shabbeer
, Ben London
:
Off-Policy Evaluation of Candidate Generators in Two-Stage Recommender Systems. 350-359 - Bruno L. Pereira

, Alan Said
, Rodrygo L. T. Santos
:
On the Reliability of Sampling Strategies in Offline Recommender Evaluation. 360-369 - Chenglei Shen

, Jiahao Zhao
, Xiao Zhang
, Weijie Yu
, Ming He
, Jianping Fan
:
Paragon: Parameter Generation for Controllable Multi-Task Recommendation. 370-380 - Xiangyi Chen

, Kousik Rajesh
, Matthew Lawhon
, Zelun Wang, Hanyu Li
, Haomiao Li
, Saurabh Vishwas Joshi
, Pong Eksombatchai
, Jaewon Yang
, Yi-Ping Hsu
, Jiajing Xu
, Charles Rosenberg
:
PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform. 381-390 - Yuyue Chen

, Peng Yang
, Zoe Lin Jiang
, Wenhao Wu
, Junbin Fang
, Xuan Wang
, Chuanyi Liu
:
Privacy-Preserving Social Recommendation: Privacy Leakage and Countermeasure. 391-400 - Federico Tomasi

, Francesco Fabbri
, Justin Carter
, Elias Kalomiris
, Mounia Lalmas
, Zhenwen Dai
:
Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation. 401-410 - Hao Gu

, Rui Zhong
, Yu Xia
, Wei Yang
, Chi Lu
, Peng Jiang
, Kun Gai
:
R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems. 411-421 - Md Sanzeed Anwar

, Paramveer S. Dhillon
, Grant Schoenebeck
:
Recommendation and Temptation. 422-431 - Jiajie He

, Yuechun Gu
, Keke Chen
:
RecPS: Privacy Risk Scoring for Recommender Systems. 432-440 - Barrie Kersbergen

, Olivier Sprangers
, Bojan Karlas
, Maarten de Rijke
, Sebastian Schelter
:
Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values. 441-450 - Mingfan Pan

, Qingyang Mao
, Xu An
, Jianhui Ma
, Gang Zhou
, Mingyue Cheng
, Enhong Chen
:
Tag-augmented Dual-target Cross-domain Recommendation. 451-460 - Changshuo Zhang

, Xiao Zhang
, Teng Shi
, Jun Xu
, Ji-Rong Wen
:
Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. 461-471 - Jianyu Wen

, Jingyun Wang
, Cilin Yan
, Jiayin Cai
, Xiaolong Jiang
, Ying Zhang
:
USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model. 472-481 - Ramin Giahi

, Kehui Yao
, Sriram Kollipara
, Kai Zhao
, Vahid Mirjalili
, Jianpeng Xu
, Topojoy Biswas
, Evren Körpeoglu
, Kannan Achan
:
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. 482-491 - Giovanni De Toni

, Erasmo Purificato
, Emilia Gómez
, Andrea Passerini
, Bruno Lepri
, Cristian Consonni
:
You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control. 492-502
Short Papers
- Florian Atzenhofer-Baumgartner

, Georg Vogeler
, Dominik Kowald
:
A Multistakeholder Approach to Value-Driven Co-Design of Recommender Systems Evaluation Metrics in Digital Archives. 503-508 - Viet-Anh Tran

, Bruno Sguerra
, Gabriel Meseguer-Brocal
, Léa Briand
, Manuel Moussallam
:
"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation. 509-514 - Amir Reza Mohammadi

, Andreas Peintner
, Michael Müller
, Eva Zangerle
:
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems. 515-520 - Zehui Wang

, Wolfram Höpken
, Dietmar Jannach
:
Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations. 521-526 - Bruno Sguerra

, Elena V. Epure
, Harin Lee
, Manuel Moussallam
:
Biases in LLM-Generated Musical Taste Profiles for Recommendation. 527-532 - Yu-Ting Cheng

, Yu-Yen Ho
, Jyun-Yu Jiang
:
Collaborative Interest Modeling in Recommender Systems. 533-538 - Cedric Waterschoot

, Nava Tintarev
, Francesco Barile
:
Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. 539-544 - Kirill Khrylchenko

, Vladimir Baikalov, Sergei S. Makeev, Artem Matveev, Sergei Liamaev:
Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval. 545-550 - Olivier Jeunen

:
Counterfactual Inference under Thompson Sampling. 551-557 - Runze Li

, Lucien Heitz
, Oana Inel
, Abraham Bernstein
:
D-RDW: Diversity-Driven Random Walks for News Recommender Systems. 558-563 - Yuki Ninomiya

, Yutaro Sone
, Kazuhisa Miwa
, Yuichiro Sumi
, Ryosuke Nakanishi
, Eiji Mitsuda
, Koji Sato
, Tadashi Odashima
:
Determinants of Users' Chance-Seeking Behavior in Search-Based Recommendation. 564-569 - Kaiyue Liu

, Yang Liu
, Alan Medlar
, Dorota Glowacka
:
Disentangling User and Item Sequence Patterns in Sequential Recommendation Data Sets. 570-574 - Matteo Attimonelli

, Alessandro De Bellis
, Claudio Pomo
, Dietmar Jannach
, Eugenio Di Sciascio
, Tommaso Di Noia
:
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search. 575-580 - Kate Hill

, Yiu-Kai Ng
, Joey Sherrill
:
Emotion Vector-Based Fine-Tuning of Large Language Models for Age-Aware Teenage Book Recommendations. 581-586 - Jiayang Niu

, Qihan Zou
, Jie Li
, Ke Deng
, Mark Sanderson
, Yongli Ren
:
Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory. 587-592 - Andrea Forster

, Simone Kopeinik
, Denis Helic
, Stefan Thalmann
, Dominik Kowald
:
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations. 593-598 - Maria Vlachou

:
Failure Prediction in Conversational Recommendation Systems. 599-604 - Alec Nonnemaker

, Ralvi Isufaj
, Zoltán Szlávik
, Cynthia C. S. Liem
:
Feedback-Driven Gradual Discovery for Expanding Musical Preferences. 605-609 - Yamini Jha

, Krishna Tewari
, Sukomal Pal
:
HiDePCC: A Novel Dual-Pronged Untargeted Attack on Federated Recommendation via Gradient Perturbation and Cluster Crafting. 610-614 - Alessandro B. Melchiorre

, Elena V. Epure
, Shahed Masoudian
, Gustavo Escobedo
, Anna Hausberger
, Manuel Moussallam
, Markus Schedl
:
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation. 615-620 - Yonatan Hadar

, Yotam Eshel
, Tal Franji
, Bracha Shapira
, Michelle Hwang
, Guy Feigenblat
:
Large Scale E-Commerce Model for Learning and Analyzing Long-Term User Preferences. 621-625 - Anton Pembek

, Artem Fatkulin
, Anton Klenitskiy
, Alexey Vasilev
:
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization. 626-631 - David Penz

, Gustavo Junior Escobedo Ticona
, Markus Schedl
:
Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation. 632-636 - Wei-Wei Du

, Takuma Udagawa
, Kei Tateno
:
Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation. 637-642 - Hanne Vandenbroucke

, Ulysse Maes
, Lien Michiels
, Annelien Smets
:
Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments. 643-648 - Gregor Meehan

, Johan Pauwels
:
On Inherited Popularity Bias in Cold-Start Item Recommendation. 649-654 - Havva Alizadeh Noughabi

, Behshid Behkamal
, Fattane Zarrinkalam
, Mohsen Kahani
:
Personalized Persuasion-Aware Explanations in Recommender Systems. 655-659 - Kenji Shinoda

, Takeyuki Sasai
, Shintaro Fukushima
:
Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems. 660-665 - Woo-Seong Yun

, Yeojun Choi
, Yoon-Sik Cho
:
Rethinking Overconfidence in VAEs: Can Label Smoothing Help? 666-670 - Weizhi Zhang

, Liangwei Yang
, Zihe Song
, Henry Peng Zou
, Ke Xu
, Yuanjie Zhu
, Philip S. Yu
:
SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. 671-676 - Theresia Veronika Rampisela

, Maria Maistro
, Tuukka Ruotsalo
, Falk Scholer
, Christina Lioma
:
Stairway to Fairness: Connecting Group and Individual Fairness. 677-683 - Gabrielle Alves

, Dietmar Jannach
, Luan Soares de Souza
, Marcelo Garcia Manzato
:
Towards Personality-Aware Explanations for Music Recommendations Using Generative AI. 684-689 - Chao-Chin Liu

, Hao-Ren Yao
, Der-Chen Chang
, Ophir Frieder
:
TreatRAG: A Framework for Personalized Treatment Recommendation. 690-695
Reproducibility Papers
- Huy-Son Nguyen

, Yuanna Liu
, Masoud Mansoury
, Mohammad Aliannejadi
, Alan Hanjalic
, Maarten de Rijke
:
A Reproducibility Study of Product-side Fairness in Bundle Recommendation. 696-705 - Guohang Zeng

, Jie Lu
, Guangquan Zhang
:
Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation. 706-715 - Pablo Sánchez

, Alejandro Bellogín
, Jose L. Jorro-Aragoneses:
Context Trails: A Dataset to Study Contextual and Route Recommendation. 716-725 - Alessandro Francesco Maria Martina

, Alessandro Petruzzelli
, Cataldo Musto
, Marco de Gemmis
, Pasquale Lops
, Giovanni Semeraro
:
DistillRecDial: A Knowledge-Distilled Dataset Capturing User Diversity in Conversational Recommendation. 726-735 - Pedro R. Pires

, Gregório F. Azevedo
, Pietro Lo Presti Campos
, Rafael T. Sereicikas
, Tiago A. Almeida
:
Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation. 736-745 - Li Kang

, Yuhan Zhao
, Li Chen
:
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems. 746-754 - Maria Vlachou

:
Fashion-AlterEval: A Dataset for Improved Evaluation of Conversational Recommendation Systems with Alternative Relevant Items. 755-763 - Giacomo Balloccu

, Ludovico Boratto
, Gianni Fenu
, Mirko Marras
, Giacomo Medda
, Giovanni Murgia
:
GreenFoodLens: Sustainability Labels for Food Recommendation. 764-773 - Maria Lucia Fioretti

, Nicola Laterza
, Alessia Preziosa
, Daniele Malitesta
, Claudio Pomo
, Fedelucio Narducci
, Tommaso Di Noia
:
How Powerful are LLMs to Support Multimodal Recommendation? A Reproducibility Study of LLMRec. 774-782 - Robin Ungruh

, Alejandro Bellogín
, Dominik Kowald
, Maria Soledad Pera
:
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study. 783-791 - Lucien Heitz

, Runze Li
, Oana Inel
, Abraham Bernstein
:
Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations. 792-801 - Jujia Zhao

, Yumeng Wang
, Zhaochun Ren
, Suzan Verberne
:
Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems. 802-811 - Yubo Wang

, Min Tang
, Nuo Shen
, Shujie Cui
, Weiqing Wang
:
Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective. 812-821 - Dominykas Seputis

, Yongkang Li
, Karsten Langerak
, Serghei Mihailov
:
Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text". 822-831 - Genki Kusano

, Kosuke Akimoto
, Kunihiro Takeoka
:
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation. 832-841 - Faisal Shehzad

, Dietmar Jannach
:
Revisiting the Performance of Graph Neural Networks for Session-based Recommendation. 842-846 - Giuseppe Spillo

, Elio Musacchio
, Cataldo Musto
, Marco de Gemmis
, Pasquale Lops
, Giovanni Semeraro
:
See the Movie, Hear the Song, Read the Book: Extending MovieLens-1M, Last.fm-2K, and DBbook with Multimodal Data. 847-856 - Ralvi Isufaj

, Ruslan Tsygankov
, Zoltán Szlávik
:
The XITE Million Sessions Dataset. 857-864 - Alessandro Sbandi

, Federico Siciliano
, Fabrizio Silvestri
:
TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls. 865-873 - Danil Gusak

, Anna Volodkevich
, Anton Klenitskiy
, Alexey Vasilev
, Evgeny Frolov
:
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. 874-883 - Faisal Shehzad

, Timo Breuer
, Maria Maistro
, Dietmar Jannach
:
"We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research. 884-893 - Alexander Ploshkin

, Vladislav Tytskiy
, Alexey Pismenny
, Vladimir Baikalov
, Evgeny Taychinov
, Artem Permiakov
, Daniil Burlakov
, Eugene Krofto
:
Yambda-5B - A Large-Scale Multi-Modal Dataset for Ranking and Retrieval. 894-901
Industry track
- Yuta Hagio

, Chigusa Yamamura
, Hiromu Ogawa
, Hisayuki Ohmata
, Arisa Fujii
:
A Media Content Recommendation Method for Playlist Curators using LLM-Based Query Expansion. 902-906 - Sami Abboud

, Eleanor Hanna
, Olivier Jeunen
, Vineesha Raheja
, Schaun Wheeler
:
Agentic Personalisation of Cross-Channel Marketing Experiences. 907-910 - Mate Hartstein

, Eva Giannatou
, Martin Tegner
:
An Analysis of Learned Product Embeddings in an E-Commerce Context. 911-914 - Marcel Hauck

, Michael Huber
, Juri Diels
, David Wittenberg
, Dietmar Jannach
:
Balanced Public Service Media Recommendation Trade-offs with a Light Carbon Footprint. 915-918 - Changping Meng

, Hongyi Ling
, Jianling Wang
, Yifan Liu
, Shuzhou Zhang
, Dapeng Hong
, Mingyan Gao
, Onkar Dalal
, Ed H. Chi, Lichan Hong
, Haokai Lu
, Ningren Han
:
Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. 919-922 - Mahanth Kumar Beeraka

, Chen Chen
, Yining Lu
, Briac Marcatte
, Weikun Lyu
, Brooke Bian
, Enriko Aryanto
, Ellie Wen
, Mohamed A. Radwan
, Tianshan Cui
, Wenjing Lu
, Mohsen Malmir
, Yang Li
:
Closing the Online-Offline Gap: A Scalable Framework for Composed Model Evaluation. 923-926 - Yunan Hu

, Mark Thornburg
, Mario García-Armas
, Vito Ostuni
, Anne Cocos
, Kriti Kohli
, Christoph Kofler
, Rob Saltiel
:
Cold Starting a New Content Type: A Case Study with Netflix Live. 927-930 - Akira Fukumoto

, Aghiles Salah
, Sarthak Shrivastava
, Alexandru Tatar
, Yannick Schwartz
, Vincent Michel
, Lee Xiong
:
Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale. 931-934 - Jonathan Valverde

, Tiansheng Yao
, Xiang Li
, Yuan Gao
, Yin Zhang
, Andrew Evdokimov
, Adam Kraft
, Samuel Ieong
, Jerry Zhang
, Ed H. Chi
, Derek Zhiyuan Cheng
, Ruoxi Wang
:
Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems. 935-939 - Jie Liu

, Yinrui Li
, Jiankai Sun
, Kungang Li
, Han Sun
, Sihan Wang
, Huasen Wu
, Siyuan Gao
, Paulo Soares
, Nan Li
, Zhifang Liu
, Haoyang Li
, Siping Ji
, Ling Leng
, Prathibha Deshikachar
:
Decoupled Entity Representation Learning for Pinterest Ads Ranking. 940-944 - Xiao Yang

, Mehdi Ayed
, Longyu Zhao
, Fan Zhou
, Yuchen Shen
, Abe Engle
, Jinfeng Zhuang
, Ling Leng
, Jiajing Xu
, Charles Rosenberg
, Prathibha Deshikachar
:
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest. 945-948 - Chelsea Weaver

, Arvind Balasubramanian
, Juan Borgnino
, Ben London
:
Efficient Off-Policy Evaluation of Content Blending in Station-Based Music Experiences. 949-953 - Carolina Zheng

, Minhui Huang
, Dmitrii Pedchenko
, Kaushik Rangadurai
, Siyu Wang
, Fan Xia
, Gaby Nahum
, Jie Lei
, Yang Yang
, Tao Liu
, Zutian Luo
, Xiaohan Wei
, Dinesh Ramasamy
, Jiyan Yang
, Yiping Han
, Lin Yang
, Hangjun Xu
, Rong Jin
, Shuang Yang
:
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. 954-957 - Gwendolyn Zhao

, Yilin Zheng
, Raghu Keshavan
, Lukasz Heldt
, Qian Sun
, Fabio Soldo
, Li Wei
, Aniruddh Nath
, Nikhil Khani
, Weilong Yang
, Dapo Omidiran
, Rein Zhang
, Mei Chen
, Lichan Hong
, Xinyang Yi
:
Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. 958-961 - Ghazal Fazelnia

, Sanket Gupta
, Claire Keum
, Mark Koh
, Timothy Christopher Heath, Guillermo Carrasco Hernández
, Stephen Xie
, Nandini Singh
, Ian Anderson
, Maya Hristakeva
, Petter Pehrson Skidén
, Mounia Lalmas
:
Generalized User Representations for Large-Scale Recommendations and Downstream Tasks. 962-966 - Timo Wilm

, Philipp Normann
:
Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems. 967-970 - Mengxi Lv

, Drew Hogg
, Thomas Grubb
, Shashank Bassi
, Min Li
, Cayman Simpson
, Senthil Rajagopalan
:
Improve the Personalization of Large-Scale Ranking Systems by Integrating User Survey Feedback. 971-974 - Yuki Yada

, Sho Akiyama
, Ryo Watanabe
, Yuta Ueno
, Yusuke Shido
, Andre Rusli
:
Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models. 975-978 - Xurong Liang

, Vu Nguyen
, Vuong Le
, Paul Albert
, Julien Monteil
:
In-context Learning for Addressing User Cold-start in Sequential Movie Recommenders. 979-982 - Yunus Lutz

, Timo Wilm
, Philipp Duwe
:
Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank. 983-986 - Dong Wang

, Junyi Jiao
, Arnab Bhadury
, Yaping Zhang
, Mingyan Gao
, Onkar Dalal
:
Item-centric Exploration for Cold Start Problem. 987-990 - George Barrowclough

, Marian Andrecki
, James Shinner
, Daniele Donghi
:
Kamae: Bridging Spark and Keras for Seamless ML Preprocessing. 991-994 - Mattia Ottoborgo

:
LADDER: LLM-Annotated Data for Dogfooded Evaluation of Rankings. 995-998 - Madhura Raju

, Manisha Sharma
, Hongyu Xiong
, Bingfeng Deng
, Meng Na
:
Leveraging Explicit Negative Feedback in Large-Scale Recommendation Systems: A Case Study. 999-1001 - Boyuan Long

, Yueqi Wang
, Hiloni Mehta
, Mick Zomnir
, Omkar Pathak
, Changping Meng
, Ruolin Jia
, Yajun Peng
, Dapeng Hong
, Xia Wu
, Mingyan Gao
, Onkar Dalal
, Ningren Han
:
LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations. 1002-1005 - Ivo Silva

, Guilherme G. Bonaldo
, Pedro F. Nogueira
:
Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search. 1006-1009 - Sinan Zhu

, Sanja Simonovikj
, Darren Edmonds
, Yang Sun
:
Metadata Generation and Evaluation using LLMs - Case Study on Canonical Titles. 1010-1013 - Suman Malani

, Youwei Zhang
, Liang Liu
:
Minimize Negative Experiences in Video Recommendation Systems with Multimodal Large Language Models. 1014-1016 - Aditee Kumthekar, Li Wei, Andrea Bettale, Mahesh Sathiamoorthy, Zrinka Puljiz, Aditya Mahajan:

Never Miss an Episode: How LLMs are Powering Serial Content Discovery on YouTube. 1017-1021 - Yuyan Wang

, Jing Zhong, Yuxin Cui, Zhaohui Guo, Chuanqi Wei, Yanchen Wang, Zellux Wang:
Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation. 1022-1025 - Vivek Singh

, Sarith Mohan
, Chetan L. Srinidhi
, Santosh Pai
, Ullaskrishnan Poikavila
, Codruta Ene
, Ankur Kapoor
, Neil Biehn
, Dorin Comaniciu
:
Operational Twin-Driven AI Recommender for Strategic Service Planning. 1026-1029 - Kevin Zielnicki

, Ko-Jen Hsiao
:
Orthogonal Low Rank Embedding Stabilization. 1030-1033 - Shaghayegh Agah

, Shaun Schaeffer
, Maria Peifer
, Neeraj Sharma
, Ankit Maheshwari
, Sardar Hamidian
:
Pareto-Optimal Solution: Optimizing Engagement and Revenue. 1034-1037 - Oded Zinman

, Nazmul Chowdhury
, Leandro Fiaschetti
, Yuri M. Brovman
, Guy Feigenblat
, Yotam Eshel
:
Personalized Interest Graphs for Theme-Driven User Behavior. 1038-1041 - Yuval Dishi

, Ophir Friedler
, Yonatan Karni
, Natalia Silberstein
, Yulia Stolin
:
Practical Multi-Task Learning for Rare Conversions in Ad Tech. 1042-1045 - Amit Jaspal

, Qian Dang
, Ajantha Ramineni
:
RADAR: Recall Augmentation through Deferred Asynchronous Retrieval. 1046-1049 - Renzhi Wu

, Junjie Yang
, Li Chen
, Hong Li
, Li Yu
, Hong Yan
:
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation. 1050-1053 - Venkata Harshit Koneru

, Xenija Neufeld
, Sebastian Loth
, Andreas Grün
:
SASRec in Action: Real-World Adaptations for ZDF Streaming Service. 1054-1057 - Yue Dong, Han Li, Shen Li, Nikhil Patel, Xing Liu, Xiaodong Wang, Chuanhao Zhuge:

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers. 1058-1061 - Haiyun Jin

, Bobby Patel
:
Scaling Image Variant Optimization Through Customer Bucketing and Response Caching: A Large-Scale Implementation at Amazon Prime Video. 1062-1065 - Yuchin Juan

, Jianqiang Shen
, Shaobo Zhang
, Qianqi Shen
, Caleb Johnson
, Luke Simon
, Liangjie Hong
, Wenjing Zhang
:
Scaling Retrieval for Web-Scale Recommenders: Lessons from Inverted Indexes to Embedding Search. 1066-1069 - M. Jeffrey Mei

, Florian Henkel
, Samuel E. Sandberg
, Oliver Bembom
, Andreas F. Ehmann
:
Semantic IDs for Music Recommendation. 1070-1073 - Sofia Maria Nikolakaki

, Siyong Ma
, Srivas Chennu
, Humeyra Topcu Altintas
:
SEMORec: A Scalarized Efficient Multi-Objective Recommendation Framework. 1074-1077 - Adeep Hande

, Kishorekumar Sundararajan
, Yidnekachew Endale
, Sardar Hamidian
:
Simulating Discoverability for Upcoming Content in TV Entertainment Platforms. 1078-1081 - Amit Jaspal

, Kapil Dalwani
, Ajantha Ramineni
:
SocRipple: A Two-Stage Framework for Cold-Start Video Recommendations. 1082-1085 - Yizhou Sang

, Congcong Liu
, Yuying Chen
, Zhiwei Fang
, Xue Jiang
, Changping Peng
, Zhangang Lin
, Ching Law
, Jingping Shao
:
Stream Normalization for CTR Prediction. 1086-1090 - Yang Gu

, Caroline Zhou
, Qiao Zhang
, Scott Wang
, Yongzhe Wang
, Li Zhang
, Nikos Parotsidis
, CJ Carey
, Ashkan Fard
, Mingyan Gao
, Yaping Zhang
, Sourabh Bansod
:
Streaming Trends: A Low-Latency Platform for Dynamic Video Grouping and Trending Corpora Building. 1091-1094 - Aleksandra Maria Osowska-Kurczab

, Klaudia Nazarko
, Mateusz Marzec
, Lidia Wojciechowska
, Eliska Kremenová
:
Suggest, Complement, Inspire: Story of Two-Tower Recommendations at Allegro.com. 1095-1098 - Petr Kasalický

, Martin Spisák
, Vojtech Vancura
, Daniel Bohunek
, Rodrigo Alves
, Pavel Kordík:
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. 1099-1103 - Chenghui Yu

, Haoze Wu
, Jian Ding
, Bingfeng Deng
, Hongyu Xiong
:
Unified Survey Modeling to Limit Negative User Experiences in Recommendation Systems. 1104-1107 - Jiaqi Zheng

, Cheng Guo
, Yi Cao
, Chaoqun Hou
, Tong Liu
, Bo Zheng
:
USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations. 1108-1111 - Yue Meng

, Cheng Guo
, Xiaohui Hu
, Honghu Deng
, Yi Cao
, Tong Liu
, Bo Zheng
:
User Long-Term Multi-Interest Retrieval Model for Recommendation. 1112-1116 - Enrico Palumbo

, Marcus Isaksson
, Alexandre Tamborrino
, Maria Movin
, Catalin Dincu
, Ali Vardasbi
, Lev Nikeshkin
, Oksana Gorobets
, Anders Nyman
, Poppy Newdick
, Hugues Bouchard
, Paul N. Bennett
, Mounia Lalmas
, Dani Doro
, Christine Doig Cardet
, Ziad Sultan
:
You Say Search, I Say Recs: A Scalable Agentic Approach to Query Understanding and Exploratory Search at Spotify. 1117-1121 - Srivaths Ranganathan

, Chieh Lo
, Bernardo Cunha
, Nikhil Khani
, Li Wei
, Aniruddh Nath
, Shawn Andrews
, Gergo Varady
, Yanwei Song
, Jochen Klingenhoefer
, Tim Steele
:
Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music. 1122-1125
Late-breaking Results
- Minje Kim

, Wooseung Kang
, Gun-Woo Kim
, Chie Hoon Song
, Suwon Lee
, Sang-Min Choi
:
A Dual-Key Attention Framework for Sequential Recommendation with Side Information. 1126-1131 - Oren Sar Shalom

, Neil Daftary
:
Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection. 1132-1136 - Chiara Mallamaci

, Aleksandr V. Petrov
, Alberto Carlo Maria Mancino
, Vito Walter Anelli
, Tommaso Di Noia
, Craig Macdonald
:
Balancing Accuracy and Novelty with Sub-Item Popularity. 1137-1141 - Veronika Ivanova

, Evgeny Frolov
, Alexey Vasilev
:
Benefiting from Negative yet Informative Feedback by Contrasting Opposing Sequential Patterns. 1142-1147 - Georgios Koutroumpas

, Matteo Mazzini
, Sebastian Idesis
, Mireia Masias Bruns
, Joemon M. Jose
, Sergi Abadal
, Ioannis Arapakis
:
Beyond Clicks: Eye-Tracking Insights into User Responses to Different Recommendation Types. 1148-1152 - Gustavo Escobedo

, David Penz
, Markus Schedl
:
Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization. 1153-1158 - Marco De Nadai

, Andreas Damianou
, Mounia Lalmas
:
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations. 1159-1163 - Huy Hoang Le

, Yang Liu
, Alan Medlar
, Dorota Glowacka
:
Don't Get Ahead of Yourself: A Critical Study on Data Leakage in Offline Evaluation of Sequential Recommenders. 1164-1168 - Minje Kim

, Wooseung Kang
, Gun-Woo Kim
, Chie Hoon Song
, Suwon Lee
, Sang-Min Choi
:
End-to-End Time Interval-wise Segmentation for Sequential Recommendation. 1169-1174 - Daria Tikhonovich

, Nikita Zelinskiy
, Aleksandr V. Petrov
, Mayya Spirina
, Andrei Semenov
, Andrey V. Savchenko
, Sergei Kuliev
:
eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion. 1175-1180 - Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang

, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas:
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge. 1181-1186 - Oleg Lesota

, Adrian Bajko
, Max Walder
, Matthias Wenzel
, Antonela Tommasel
, Markus Schedl
:
Fine-tuning for Inference-efficient Calibrated Recommendations. 1187-1192 - Robin Ungruh

, Alejandro Bellogín
, Maria Soledad Pera
:
From Previous Plays to Long-Term Tastes: Exploring the Long-term Reliability of Recommender Systems Simulations for Children. 1193-1198 - Daniele Malitesta

, Giacomo Medda
, Erasmo Purificato
, Mirko Marras
, Fragkiskos D. Malliaros
, Ludovico Boratto
:
How Fair is Your Diffusion Recommender Model? 1199-1205 - Josef Schodl

, Oleg Lesota
, Antonela Tommasel
, Markus Schedl
:
Investigating Carbon Footprint of Recommender Systems Beyond Training Time. 1206-1211 - Zaira Zainulabidova

, Julia Borisova
, Alexander Hvatov
:
Learning geometry-aware recommender systems with manifold regularization. 1212-1216 - Viacheslav Yusupov

, Maxim V. Rakhuba
, Evgeny Frolov
:
Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations. 1217-1221 - Gaetano Dibenedetto

, Pasquale Lops
, Marco Polignano
, Helma Torkamaan
:
Lift It Up Right: A Recommender System for Safer Lifting Postures. 1222-1227 - Olivier Jeunen

:
Meta Off-Policy Estimation. 1228-1233 - Arjan Hasami

, Masoud Mansoury
:
Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models. 1234-1239 - Johannes Kruse

, Kasper Lindskow
, Michael Riis Andersen
, Ryotaro Shimizu
, Julian J. McAuley
, Pierre-Alexandre Mattei
, Jes Frellsen
:
Normative Alignment of Recommender Systems via Internal Label Shift. 1240-1245 - Parviz Ahmadov

, Masoud Mansoury
:
Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems. 1246-1250 - Eran Fainman

, Adir Solomon
, Osnat Mokryn
:
PAIRSAT: Integrating Preference-Based Signals for User Satisfaction Estimation in Dialogue Systems. 1251-1255 - Marta Moscati

, Shah Nawaz
, Markus Schedl
:
Parameter-Efficient Single Collaborative Branch for Recommendation. 1256-1260 - Jennifer Poernomo

, Nicole Gabrielle Lee Tan
, Rodrigo Alves
, Antoine Ledent
:
Probabilistic Modeling, Learnability and Uncertainty Estimation for Interaction Prediction in Movie Rating Datasets. 1261-1266 - Danil Gusak

, Nikita Sukhorukov
, Evgeny Frolov
:
Recommendation Is a Dish Better Served Warm. 1267-1272 - Tereza Zmeskalová

, Antoine Ledent
, Martin Spisák
, Pavel Kordík, Rodrigo Alves
:
Recurrent Autoregressive Linear Model for Next-Basket Recommendation. 1273-1278 - Arsen Matej Golubovikj

, Marko Tkalcic
:
Rethinking Subjective Features in Recommender Systems: Personal Views Over Aggregated Values. 1279-1283 - Zhongtian Sun

, Anoushka Harit
:
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. 1284-1289 - Vit Kostejn

, Ladislav Peska
, Martin Spisák
:
SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations. 1290-1295 - Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard:

Semantic IDs for Joint Generative Search and Recommendation. 1296-1301 - Aayush Singha Roy

, Elias Z. Tragos
, Aonghus Lawlor
, Neil Hurley
:
SlateLLM: Distilling LLM Semantics into Session-Aware Slate Recommendation without Inference Overhead. 1302-1306 - Olivier Jeunen

:
t-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing. 1307-1310 - Hannah Berling

, Robin Svahn
, Alan Said
:
The Hidden Cost of Defaults in Recommender System Evaluation. 1311-1316 - Masahiro Sato

:
Unobserved Negative Items in Recommender Systems: Challenges and Solutions for Evaluation and Learning. 1317-1321
Demonstrations
- Tobias Vente

, Michael Heep
, Abdullah Abbas
, Theodor Sperle
, Joeran Beel
, Bart Goethals
:
APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection. 1322-1324 - Bereket Abera Yilma

, Saravanakumar Duraisamy
, Stefan Penchev
, Tudor Pristav
, Luis A. Leiva
:
ArtAICare: An End-to-End Platform for Personalized Art Therapy. 1325-1327 - Rully Agus Hendrawan

, Peter Brusilovsky
, Luis A. Leiva
, Bereket Abera Yilma
:
ArtEx: A User-Controllable Web Interface for Visual Art Recommendations. 1328-1330 - Ibrahim Al Hazwani

, Daniel Lutziger
, Carlos Kirchdorfer
, Luca Huber
, Oliver Robin Aschwanden
, Jürgen Bernard, Ludovico Boratto
:
Blooming Beats: An Interactive Music Recommender System Grounded in TRACE Principles and Data Humanism. 1331-1333 - Akash Khetan

, Narasimha Medeme
, Deepak Yadav
, Anmol Porwal
:
Flights Pricelock Fee Recommendation on Online Travel Agent Platform. 1334-1336 - Eléa Vellard, Enzo Charolois-Pasqua

, Youssra Rebboud
, Pasquale Lisena
, Raphaël Troncy
:
Interactive Playlist Generation from Titles. 1337-1339 - Tommaso Carraro

, Brijraj Singh
, Niranjan Pedanekar
:
Large Language Model-based Recommendation System Agents. 1340-1342 - Ibrahim Al Hazwani

, Oliver Robin Aschwanden, Oana Inel
, Jürgen Bernard, Ludovico Boratto
:
PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations. 1343-1345 - Jackson Dam

, Zixuan Yi
, Iadh Ounis
:
RecViz: Intuitive Graph-based Visual Analytics for Dataset Exploration and Recommender System Evaluation. 1346-1348 - Patrícia Alves

, Joana Neto
, Jorge Lima
, José Silva, Luís Conceição
, Goreti Marreiros
:
Travel Together, Play Together: Gamifying a Group Recommender System for Tourism. 1349-1352 - Bulat Khaertdinov

, Mirela Popa
, Nava Tintarev
:
VisualReF: Interactive Image Search Prototype with Visual Relevance Feedback. 1353-1356
Workshops and Challenge
- Peter Brusilovsky

, Alexander Felfernig
, Pasquale Lops
, Marco Polignano
, Giovanni Semeraro
, Martijn C. Willemsen
:
12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'25). 1357-1359 - Eva Zangerle

, Alan Said
, Christine Bauer
:
Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025). 1360-1361 - Harrie Oosterhuis

, Olivier Jeunen
, Yuta Saito
, Yixin Wang
, Flavian Vasile
, Thorsten Joachims
:
CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. 1362-1365 - Irene Li

, Ruihai Dong
, Guillaume Salha-Galvan
, Aonghus Lawlor
, Dairui Liu
, Lei Li
:
EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models. 1366-1370 - Michael D. Ekstrand

, Toshihiro Kamishima
, Amifa Raj
, Karlijn Dinnissen
:
FAccTRec 2025: The 8th Workshop on Responsible Recommendation. 1371-1372 - Toine Bogers

, Mesut Kaya
, Jens-Joris Decorte
, Chris Johnson
, Guillaume Bied
:
Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025). 1373-1377 - Claudio Pomo

, Dietmar Jannach
, Yubin Kim
, Daniele Malitesta
, Alberto Carlo Maria Mancino
, Julian J. McAuley
, Alessandro B. Melchiorre
, Shah Nawaz
:
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). 1378-1382 - Andres Ferraro

, Lorenzo Porcaro
, Christine Bauer
:
MuRS: 3rd Music Recommender Systems Workshop. 1383-1385 - Lien Michiels

, Sanne Vrijenhoek
, Alain D. Starke
, Johannes Kruse
, Savvina Daniil
:
NORMalize 2025: The Third Workshop on Normative Design and Evaluation of Recommender Systems. 1386-1388 - Jacek Dabrowski

, Maria Janicka
, Lukasz Sienkiewicz
, Gergely Stomfai
, Dietmar Jannach
, Francesco Barile
, Marco Polignano
, Claudio Pomo
, Abhishek Srivastava
:
RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. 1389-1393 - Ludovico Boratto

, Allegra De Filippo
, Elisabeth Lex
, Francesca Maridina Malloci
, Noemi Mauro
, Francesco Ricci
:
Second International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2025). 1394-1398 - Andreea Iana

, Célina Treuillier
, Vandana Yadav
, Benjamin Kille
, Andreas Lommatzsch
, Özlem Özgöbek
:
The 13th International Workshop on News Recommendation and Analytics (INRA 2025). 1399-1403 - Mansi Ranjit Mane

, Djordje Gligorijevic
, Dingxian Wang
, Topojoy Biswas
, Evren Körpeoglu
, Marios Savvides
, Yongfeng Zhang
, Julian J. McAuley
:
The Second Workshop on Generative AI for E-commerce. 1404-1408 - Gediminas Adomavicius

, Konstantin Bauman
, Bamshad Mobasher
, Alexander Tuzhilin
, Moshe Unger
:
Workshop on Context-Aware Recommender Systems. 1409-1411 - Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker, Wolfgang Wörndl:

Workshop on Recommenders in Tourism (RecTour) 2025. 1412-1413
Tutorials
- Maurizio Ferrari Dacrema

, Paolo Cremonesi
:
A Hands-on Dive Into Quantum Computing for Recommender Systems. 1414-1416 - Chengkai Huang

, Junda Wu
, Tong Yu
, Julian J. McAuley
, Lina Yao
:
A Tutorial on Agentic LLM for Recommender Systems. 1417-1419 - Thomas Elmar Kolb

, Ahmadou Wagne
, Ashmi Banerjee
, Fatemeh Nazary
, Julia Neidhardt
, Yashar Deldjoo
, Tommaso Di Noia
:
A Tutorial on Recent Advances in Generative Conversational Recommender Systems. 1420-1422 - Omprakash Sonie

:
concept2code: Sequential Recommendation with Large Language Models. 1423-1424 - João Vinagre

, Lorenzo Porcaro
, Silvia Merisio
, Erasmo Purificato
, Emilia Gómez
:
Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act. 1425-1426 - Reza Yousefi Maragheh

, Yashar Deldjoo
, Chi Wang
, Jason Cho
, Derek Cheng
:
Multi-Agentic Recommender Systems: Foundations, Design Patterns, and E-Commerce Applications - An Industrial Tutorial. 1427-1429 - Kim Falk

:
Multi-Armed Bandits in the Wild. 1430-1431 - Alberto Carlo Maria Mancino

, Matteo Attimonelli
, Angela Di Fazio
, Daniele Malitesta
, Tommaso Di Noia
:
Standard Practices for Data Processing and Multimodal Feature Extraction in Recommendation with DataRec and Ducho (D&D4Rec). 1432-1434
Doctoral Symposium
- Cornelia M. Kloppers

:
Adding Value to Low-Resource Industrial Recommender Systems. 1435-1438 - Amanda Aird

:
Addressing Multi-stakeholder Fairness Concerns in Recommender Systems Through Social Choice. 1439-1444 - Michael Müller

:
Advancing User-Centric Evaluation and Design of Conversational Recommender Systems. 1445-1450 - Robin Ungruh

:
Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation. 1451-1457 - Michael Benigni

:
Bayesian Perspectives on Offline Evaluation for Recommender Systems. 1458-1462 - Elaheh Jafari

:
Beyond Persuasion: Adaptive Warnings and Balanced Explanations for Informed Decision-Making in Recommender Systems. 1463-1468 - Elena-Ruxandra Lutan

:
Challenges in Perfume Recommender Systems: Navigating Subjectivity, Context and Sensory Data. 1469-1472 - Dina Zilbershtein

:
Fair and Transparent Recommender Systems for Advertisements. 1473-1478 - Jan Kislinger

:
Full-Page Recommender: A Modular Framework for Multi-Carousel Recommendations. 1479-1484 - Fabio Ferrero

:
Narrative-Driven Itinerary Recommendation: LLM Integration for Immersive Urban Walking. 1485-1491 - Gabriel Alfonso Patron

:
Personalized Image Generation for Recommendations Beyond Catalogs. 1492-1498 - Florian Atzenhofer-Baumgartner

:
Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity. 1499-1505

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