| 2023 | gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. | Aleksandr Vladimirovich Petrov, Craig MacDonald |
| 2023 | SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation. | Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle |
| 2023 | Sequential Recommendation Models: A Graph-based Perspective. | Andreas Peintner |
| 2023 | Complementary Product Recommendation for Long-tail Products. | Rastislav Papso |
| 2023 | Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. | Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia |
| 2023 | Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. | Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia |
| 2023 | Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. | Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li |
| 2023 | Personalized Category Frequency prediction for Buy It Again recommendations. | Amit Pande, Kunal Ghosh, Rankyung Park |
| 2023 | Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models. | Dario Di Palma |
| 2023 | LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation. | Dang Minh Nguyen, Chenfei Wang, Yan Shen, Yifan Zeng |
| 2023 | Workshop on Recommenders in Tourism (RecTour) 2023. | Julia Neidhardt, Wolfgang Wrndl, Tsvi Kuflik, Dmitri Goldenberg, Markus Zanker |
| 2023 | InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. | Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan |
| 2023 | Large Language Model Augmented Narrative Driven Recommendations. | Sheshera Mysore, Andrew McCallum, Hamed Zamani |
| 2023 | Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. | Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2023 | Multiobjective Hyperparameter Optimization of Recommender Systems. | Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl |
| 2023 | Explainable Graph Neural Network Recommenders; Challenges and Opportunities. | Amir Reza Mohammadi |
| 2023 | How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. | Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals |
| 2023 | Station and Track Attribute-Aware Music Personalization. | M. Jeffrey Mei, Oliver Bembom, Andreas F. Ehmann |
| 2023 | Exploring False Hard Negative Sample in Cross-Domain Recommendation. | Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou |
| 2023 | ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. | Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie |
| 2023 | KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. | Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio |
| 2023 | VideoRecSys 2023: First Workshop on Large-Scale Video Recommender Systems. | Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Saurabh Gupta, Brad Schumitsch |
| 2023 | Initiative transfer in conversational recommender systems. | Yuan Ma, Jrgen Ziegler |
| 2023 | Deep Situation-Aware Interaction Network for Click-Through Rate Prediction. | Yimin Lv, Shuli Wang, Beihong Jin, Yisong Yu, Yapeng Zhang, Jian Dong, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | Robust User Engagement Modeling With Transformers and Self Supervision. | Yichao Lu, Maksims Volkovs |