Aghiles Salah - RankMe

26 papers A* 3A 11Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Contrastive Conditional Embeddings for Item-based Recommendation at E-commerce Scale. RecSys Akira Fukumoto, Aghiles Salah, Sarthak Shrivastava, Alexandru Tatar, Yannick Schwartz, Vincent Michel, Lee Xiong
2025	—	`conf`	Investigating Cross-Domain Capabilities of LLMs in Two-Stage Recommender Systems. WWW (Companion Volume) Mohamed Islem Kara Bernou, Aghiles Salah, Alexandru Tatar
2024	A	`conf`	WSDM 2024 Workshop on Representation Learning & Clustering. WSDM Lazhar Labiod, Mohamed Nadif, Aghiles Salah
2023	A	`conf`	Learning to Infer Product Attribute Values From Descriptive Texts and Images. WSDM Pablo Montalvo, Aghiles Salah
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	J	`jnl`	Improving NMF clustering by leveraging contextual relationships among words. Neurocomputing Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif
2022	J	`jnl`	Multi-Modal Attribute Extraction for E-Commerce. CoRR Aloïs de La Comble, Anuvabh Dutt, Pablo Montalvo, Aghiles Salah
2021	A	`conf`	Bilateral Variational Autoencoder for Collaborative Filtering. WSDM Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw
2021	J	`jnl`	Exploring Cross-Modality Utilization in Recommender Systems. IEEE Internet Comput. Quoc-Tuan Truong, Aghiles Salah, Thanh-Binh Tran, Jingyao Guo, Hady W. Lauw
2021	A	`conf`	Multi-Modal Recommender Systems: Hands-On Exploration. RecSys Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw
2021	A	`conf`	Towards Source-Aligned Variational Models for Cross-Domain Recommendation. RecSys Aghiles Salah, Thanh-Binh Tran, Hady W. Lauw
2020	J	`jnl`	Cornac: A Comparative Framework for Multimodal Recommender Systems. J. Mach. Learn. Res. Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw
2019	J	`jnl`	Directional co-clustering. Adv. Data Anal. Classif. Aghiles Salah, Mohamed Nadif
2018	A*	`conf`	A Bayesian Latent Variable Model of User Preferences with Item Context. IJCAI Aghiles Salah, Hady W. Lauw
2018	A	`conf`	Probabilistic Collaborative Representation Learning for Personalized Item Recommendation. UAI Aghiles Salah, Hady W. Lauw
2018	A*	`conf`	Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. AAAI Aghiles Salah, Melissa Ailem, Mohamed Nadif
2017	A	`conf`	A Way to Boost Semi-NMF for Document Clustering. CIKM Aghiles Salah, Melissa Ailem, Mohamed Nadif
2017	A	`conf`	Model-based von Mises-Fisher Co-clustering with a Conscience. SDM Aghiles Salah, Mohamed Nadif
2017	A*	`conf`	Non-negative Matrix Factorization Meets Word Embedding. SIGIR Melissa Ailem, Aghiles Salah, Mohamed Nadif
2017	J	`jnl`	Social regularized von Mises-Fisher mixture model for item recommendation. Data Min. Knowl. Discov. Aghiles Salah, Mohamed Nadif
2016	J	`jnl`	A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	A	`conf`	Model-based Co-clustering for High Dimensional Sparse Data. AISTATS Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	A	`conf`	Stochastic Co-clustering for Document-Term Data. SDM Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
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
2015	—	`conf`	An Efficient Incremental Collaborative Filtering System. ICONIP (3) Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2015	—	`conf`	Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif