| The adressa dataset for news recommendation JA Gulla, L Zhang, P Liu, Ö Özgöbek, X Su Proceedings of the international conference on web intelligence, 1042-1048, 2017 | 184 | 2017 |
| Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems P Liu, L Zhang, JA Gulla Transactions of the Association for Computational Linguistics 11, 1553-1571, 2023 | 56 | 2023 |
| Multilingual review-aware deep recommender system via aspect-based sentiment analysis P Liu, L Zhang, JA Gulla ACM Transactions on Information Systems (TOIS) 39 (2), 1-33, 2021 | 51 | 2021 |
| Dynamic attention-integrated neural network for session-based news recommendation L Zhang, P Liu, JA Gulla Machine Learning 108, 1851-1875, 2019 | 49 | 2019 |
| Dynamic attention-based explainable recommendation with textual and visual fusion P Liu, L Zhang, JA Gulla Information Processing & Management 57 (6), 102099, 2020 | 41 | 2020 |
| A deep joint network for session-based news recommendations with contextual augmentation L Zhang, P Liu, JA Gulla Proceedings of the 29th on Hypertext and Social Media, 201-209, 2018 | 39 | 2018 |
| Real-time social recommendation based on graph embedding and temporal context P Liu, L Zhang, JA Gulla International Journal of Human-Computer Studies 121, 58-72, 2019 | 32 | 2019 |
| Dynamic topic-based sentiment analysis of large-scale online news P Liu, JA Gulla, L Zhang Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016 | 13 | 2016 |
| Recommending news in traditional media companies J Gulla, R Svendsen, L Zhang, A Stenbom, J Frøland AI Magazine 42 (3), 55-69, 2021 | 7 | 2021 |
| A neural time series forecasting model for user interests prediction on Twitter L Zhang, P Liu, JA Gulla Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 7 | 2017 |
| NLEBench+ NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian P Liu, L Zhang, TN Farup, EW Lauvrak, JE Ingvaldsen, S Eide, JA Gulla, ... arXiv preprint arXiv:2312.01314, 2023 | 2 | 2023 |
| An educational news dataset for recommender systems Y Xing, I Mohallick, JA Gulla, Ö Özgöbek, L Zhang ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 2 | 2020 |
| Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges L Zhang, P Liu, Y Deldjoo, Y Zheng, JA Gulla arXiv preprint arXiv:2404.03788, 2024 | | 2024 |
| Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023 B Kille, A Lommatzsch, Ö Özgöbek, P Liu, L Zhang, S Eide ACM SIGIR Forum 57 (2), 1-4, 2024 | | 2024 |
| The Eleventh International Workshop on News Recommendation and Analytics (INRA’23) B Kille, A Lommatzsch, Ö Özgöbek, P Liu, S Eide, L Zhang Proceedings of the 17th ACM Conference on Recommender Systems, 1263-1266, 2023 | | 2023 |
| Recommending on graphs: a comprehensive review from a data perspective L Zhang, P Liu, JA Gulla User Modeling and User-Adapted Interaction 33 (4), 803-888, 2023 | | 2023 |
| Exploring Multifaced User Modelling in Textual Data Streams L Zhang NTNU, 2021 | | 2021 |
| Learning Multi-granularity Dynamic Network Representations for Social Recommendation P Liu, L Zhang, JA Gulla Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | | 2019 |
| On the Difficulties of Using Machine Learning on Industrial Texts O Ozgöbek, O Selvig, JA Gulla, L Zhang, C Marco | | 2018 |
Jon Atle GullaProfessor of Information Systems, Norwegian University of Science and Technology在 idi.ntnu.no 的电子邮件经过验证
