Dataset-Agnostic Recommender Systems

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Dataset-Agnostic Recommender Systems

13 January 2025

Tri Kurniawan Wijaya

Edoardo DÁmico

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Papers citing "Dataset-Agnostic Recommender Systems"

16 / 16 papers shown

Title
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks Tri Kurniawan Wijaya Xinyang Shao Gonzalo Fiz Pontiveros Edoardo DÁmico 22 0 0 03 Jun 2025
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 92 8 0 05 Jun 2024
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems Pengyue Jia Yejing Wang Zhaochen Du Xiangyu Zhao Yichao Wang Bo Chen Wanyu Wang Huifeng Guo Ruiming Tang 74 9 0 19 Mar 2024
MM-GEF: Multi-modal representation meet collaborative filtering Hao Wu Alejandro Ariza-Casabona Bartlomiej Twardowski Tri Kurniawan Wijaya 49 2 0 14 Aug 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.6K 13,533 0 27 Feb 2023
Toward Efficient Automated Feature Engineering Kafeng Wang Pengyang Wang Chengzhong Xu 105 2 0 26 Dec 2022
OpenFE: Automated Feature Generation with Expert-level Performance Tianze Zhang Zheyu Zhang Zhiyuan Fan Haoyan Luo Feng Liu Qian Liu Wei Cao Jian Li VLM 47 30 0 22 Nov 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 72 2 0 30 Aug 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 118 100 0 22 Feb 2022
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 218 2,152 0 30 Jul 2020
AutoRec: An Automated Recommender System Ting-Hsiang Wang Qingquan Song Xiaotian Han Zirui Liu Haifeng Jin Helen Zhou 77 21 0 26 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 1.1K 42,651 0 28 May 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 82 198 0 18 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 614 20,418 0 23 Oct 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 184 1,478 0 02 Aug 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches Maurizio Ferrari Dacrema Paolo Cremonesi Dietmar Jannach 57 591 0 16 Jul 2019