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RecSys
2007
2013
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2023
2007
2023
Keyphrases
Publications
2023
Ashraf Ghiye
,
Baptiste Barreau
,
Laurent Carlier
,
Michalis Vazirgiannis
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation.
RecSys
(2023)
Alberto Carlo Maria Mancino
,
Antonio Ferrara
,
Salvatore Bufi
,
Daniele Malitesta
,
Tommaso Di Noia
,
Eugenio Di Sciascio
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models.
RecSys
(2023)
Amir Reza Mohammadi
Explainable Graph Neural Network Recommenders; Challenges and Opportunities.
RecSys
(2023)
Andreas Grün
,
Xenija Neufeld
Transparently Serving the Public: Enhancing Public Service Media Values through Exploration.
RecSys
(2023)
Saurabh Agrawal
,
John Trenkle
,
Jaya Kawale
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata.
RecSys
(2023)
Timo Wilm
,
Philipp Normann
,
Sophie Baumeister
,
Paul-Vincent Kobow
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions.
RecSys
(2023)
M. Jeffrey Mei
,
Oliver Bembom
,
Andreas F. Ehmann
Station and Track Attribute-Aware Music Personalization.
RecSys
(2023)
Junyi Shen
,
Dayvid V. R. Oliveira
,
Jin Cao
,
Brian Knott
,
Goodman Gu
,
Sindhu Vijaya Raghavan
,
Yunye Jin
,
Nikita Sudan
,
Rob Monarch
Identifying Controversial Pairs in Item-to-Item Recommendations.
RecSys
(2023)
Sebastian Lubos
,
Viet-Man Le
,
Alexander Felfernig
,
Thi Ngoc Trang Tran
Analysis Operations for Constraint-based Recommender Systems.
RecSys
(2023)
Abhishek Jaiswal
,
Gautam Chauhan
,
Nisheeth Srivastava
Using Learnable Physics for Real-Time Exercise Form Recommendations.
RecSys
(2023)
Julia Lasserre
,
Nima Dokoohaki
,
Reza Shirvany
Fifth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2023.
RecSys
(2023)
Alejandro Ariza-Casabona
,
Maria Salamó
,
Ludovico Boratto
,
Gianni Fenu
Towards Self-Explaining Sequence-Aware Recommendation.
RecSys
(2023)
Ine Coppens
,
Luc Martens
,
Toon De Pessemier
Analyzing Accuracy versus Diversity in a Health Recommender System for Physical Activities: a Longitudinal User Study.
RecSys
(2023)
Meng Yuan
,
Fuzhen Zhuang
,
Zhao Zhang
,
Deqing Wang
,
Jin Dong
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation.
RecSys
(2023)
Xumei Xi
,
Yuke Zhao
,
Quan Liu
,
Liwen Ouyang
,
Yang Wu
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation.
RecSys
(2023)
Jiakai Tang
,
Shiqi Shen
,
Zhipeng Wang
,
Zhi Gong
,
Jingsen Zhang
,
Xu Chen
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation.
RecSys
(2023)
Wenyue Hua
,
Lei Li
,
Shuyuan Xu
,
Li Chen
,
Yongfeng Zhang
Tutorial on Large Language Models for Recommendation.
RecSys
(2023)
Rana Shahout
,
Yehonatan Peisakhovsky
,
Sasha Stoikov
,
Nikhil Garg
Interface Design to Mitigate Inflation in Recommender Systems.
RecSys
(2023)
Youchen Sun
Denoising Explicit Social Signals for Robust Recommendation.
RecSys
(2023)
Yuan Ma
,
Jürgen Ziegler
Initiative transfer in conversational recommender systems.
RecSys
(2023)
Norman Knyazev
,
Harrie Oosterhuis
A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions.
RecSys
(2023)
Xuewen Tao
,
Mingming Ha
,
Qiongxu Ma
,
Hongwei Cheng
,
Wenfang Lin
,
Xiaobo Guo
,
Linxun Chen
,
Bing Han
Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning.
RecSys
(2023)
Felix Bölz
,
Diana Nurbakova
,
Sylvie Calabretto
,
Armin Gerl
,
Lionel Brunie
,
Harald Kosch
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation.
RecSys
(2023)
Walid Bendada
,
Guillaume Salha-Galvan
,
Romain Hennequin
,
Thomas Bouabça
,
Tristan Cazenave
On the Consistency of Average Embeddings for Item Recommendation.
RecSys
(2023)
Alessio Ferrato
Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments.
RecSys
(2023)
Tobias Vente
,
Michael Ekstrand
,
Joeran Beel
Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit.
RecSys
(2023)
Amit Kumar Jaiswal
,
Yu Xiong
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings.
RecSys
(2023)
Jiawei Zhang
Learning the True Objectives of Multiple Tasks in Sequential Behavior Modeling.
RecSys
(2023)
Patrik Dokoupil
,
Ladislav Peska
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems.
RecSys
(2023)
Yaokun Liu
,
Xiaowang Zhang
,
Minghui Zou
,
Zhiyong Feng
Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation.
RecSys
(2023)
Weiwen Liu
,
Wei Guo
,
Yong Liu
,
Ruiming Tang
,
Hao Wang
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.
RecSys
(2023)
Gangyi Zhang
User-Centric Conversational Recommendation: Adapting the Need of User with Large Language Models.
RecSys
(2023)
Rastislav Papso
Complementary Product Recommendation for Long-tail Products.
RecSys
(2023)
Martin Spisák
,
Radek Bartyzal
,
Antonín Hoskovec
,
Ladislav Peska
,
Miroslav Tuma
Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering.
RecSys
(2023)
Rahul Agrawal
,
Sarang Brahme
,
Sourav Maitra
,
Saikishore Kalloori
,
Abhishek Srivastava
,
Yong Liu
,
Athirai A. Irissappane
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy.
RecSys
(2023)
Stefania Ionescu
,
Aniko Hannak
,
Nicolò Pagan
Group Fairness for Content Creators: the Role of Human and Algorithmic Biases under Popularity-based Recommendations.
RecSys
(2023)
Darius Afchar
,
Romain Hennequin
,
Vincent Guigue
Of Spiky SVDs and Music Recommendation.
RecSys
(2023)
Yang Liu
,
Alan Medlar
,
Dorota Glowacka
On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation.
RecSys
(2023)
Andrea Bacciu
,
Federico Siciliano
,
Nicola Tonellotto
,
Fabrizio Silvestri
Integrating Item Relevance in Training Loss for Sequential Recommender Systems.
RecSys
(2023)
Benedikt Schifferer
,
Wenzhe Shi
,
Gabriel de Souza Pereira Moreira
,
Even Oldridge
,
Chris Deotte
,
Gilberto Titericz
,
Kazuki Onodera
,
Praveen Dhinwa
,
Vishal Agrawal
,
Chris Green
Investigating the effects of incremental training on neural ranking models.
RecSys
(2023)
Geetha Sai Aluri
,
Paul Greyson
,
Joaquin Delgado
Optimizing Podcast Discovery: Unveiling Amazon Music's Retrieval and Ranking Framework.
RecSys
(2023)
Chenyang Wang
,
Yankai Liu
,
Yuanqing Yu
,
Weizhi Ma
,
Min Zhang
,
Yiqun Liu
,
Haitao Zeng
,
Junlan Feng
,
Chao Deng
Two-sided Calibration for Quality-aware Responsible Recommendation.
RecSys
(2023)
Douglas Turnbull
,
April Trainor
,
Douglas R. Turnbull
,
Elizabeth Richards
,
Kieran Bentley
,
Victoria Conrad
,
Paul Gagliano
,
Cassandra Raineault
,
Thorsten Joachims
Localify.org: Locally-focus Music Artist and Event Recommendation.
RecSys
(2023)
Yaming Yang
,
Jieyu Zhang
,
Yujing Wang
,
Zheng Miao
,
Yunhai Tong
Multiple Connectivity Views for Session-based Recommendation.
RecSys
(2023)
Natalia Chen
,
Oinam Nganba Meetei
,
Nilothpal Talukder
,
Alexey Zankevich
Leveling Up the Peloton Homescreen: A System and Algorithm for Dynamic Row Ranking.
RecSys
(2023)
Yuwei Cao
,
Liangwei Yang
,
Chen Wang
,
Zhiwei Liu
,
Hao Peng
,
Chenyu You
,
Philip S. Yu
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
RecSys
(2023)
Tommaso Carraro
Overcoming Recommendation Limitations with Neuro-Symbolic Integration.
RecSys
(2023)
Yichi Zhang
,
Guisheng Yin
,
Yuxin Dong
Contrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation.
RecSys
(2023)
Changsheng Wang
,
Jianbai Ye
,
Wenjie Wang
,
Chongming Gao
,
Fuli Feng
,
Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense.
RecSys
(2023)
Iason Chaimalas
,
Duncan Martin Walker
,
Edoardo Gruppi
,
Benjamin Richard Clark
,
Laura Toni
Bootstrapped Personalized Popularity for Cold Start Recommender Systems.
RecSys
(2023)