Aghiles Salah

According to our database, Aghiles Salah authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WSDM 2024 Workshop on Representation Learning & Clustering.

Lazhar Labiod, Mohamed Nadif, Aghiles Salah

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Learning to Infer Product Attribute Values From Descriptive Texts and Images.

Pablo Montalvo, Aghiles Salah

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Improving NMF clustering by leveraging contextual relationships among words.

Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif

Neurocomputing, 2022

Multi-Modal Attribute Extraction for E-Commerce.

Aloïs de La Comble, Anuvabh Dutt, Pablo Montalvo, Aghiles Salah

CoRR, 2022

2021

Exploring Cross-Modality Utilization in Recommender Systems.

Quoc-Tuan Truong, Aghiles Salah, Thanh-Binh Tran, Jingyao Guo, Hady W. Lauw

IEEE Internet Comput., 2021

Bilateral Variational Autoencoder for Collaborative Filtering.

Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw

Proceedings of the WSDM '21, 2021

Multi-Modal Recommender Systems: Hands-On Exploration.

Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Towards Source-Aligned Variational Models for Cross-Domain Recommendation.

Aghiles Salah, Thanh-Binh Tran, Hady W. Lauw

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Cornac: A Comparative Framework for Multimodal Recommender Systems.

Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw

J. Mach. Learn. Res., 2020

2019

Directional co-clustering.

Aghiles Salah, Mohamed Nadif

Adv. Data Anal. Classif., 2019

2018

Probabilistic Collaborative Representation Learning for Personalized Item Recommendation.

Aghiles Salah, Hady W. Lauw

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Bayesian Latent Variable Model of User Preferences with Item Context.

Aghiles Salah, Hady W. Lauw

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.

Aghiles Salah, Melissa Ailem, Mohamed Nadif

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Social regularized von Mises-Fisher mixture model for item recommendation.

Aghiles Salah, Mohamed Nadif

Data Min. Knowl. Discov., 2017

Non-negative Matrix Factorization Meets Word Embedding.

Melissa Ailem, Aghiles Salah, Mohamed Nadif

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Model-based von Mises-Fisher Co-clustering with a Conscience.

Aghiles Salah, Mohamed Nadif

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Way to Boost Semi-NMF for Document Clustering.

Aghiles Salah, Melissa Ailem, Mohamed Nadif

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Von Mises-Fisher based (co-)clustering for high-dimensional sparse data : application to text and collaborative filtering data. (Modèles de mélange de von Mises-Fisher pour la classification simple et croisée de données éparses de grande dimension).

Aghiles Salah

PhD thesis, 2016

A dynamic collaborative filtering system via a weighted clustering approach.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Neurocomputing, 2016

Stochastic Co-clustering for Document-Term Data.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Model-based Co-clustering for High Dimensional Sparse Data.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

An Efficient Incremental Collaborative Filtering System.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif.

Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015