| 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 | 207 | 2017 |
| Sarcasm detection in social media based on imbalanced classification P Liu, W Chen, G Ou, T Wang, D Yang, K Lei Web-Age Information Management: 15th International Conference, WAIM 2014 …, 2014 | 121 | 2014 |
| 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 | 96 | 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 | 57 | 2021 |
| Dynamic attention-based explainable recommendation with textual and visual fusion P Liu, L Zhang, JA Gulla Information Processing & Management 57 (6), 102099, 2020 | 56 | 2020 |
| Dynamic attention-integrated neural network for session-based news recommendation L Zhang, P Liu, JA Gulla Machine Learning 108, 1851-1875, 2019 | 52 | 2019 |
| 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 | 40 | 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 | 33 | 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 | 14 | 2016 |
| Nlebench+ norglm: A comprehensive empirical analysis and benchmark dataset for generative language models in norwegian P Liu, L Zhang, T Farup, EW Lauvrak, JE Ingvaldsen, S Eide, JA Gulla, ... arXiv preprint arXiv:2312.01314, 2023 | 8 | 2023 |
| 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 |
| Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges L Zhang, P Liu, Y Deldjoo, Y Zheng, JA Gulla The 27th European Conference on Artificial Intelligence (ECAI 2024), 2024 | 6 | 2024 |
| Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. P Liu, C Marco, JA Gulla INRA@ RecSys, 12-17, 2019 | 6 | 2019 |
| 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 | 5 | 2023 |
| Aspect-specific polarity-aware summarization of online reviews G Ou, W Chen, P Liu, T Wang, D Yang, K Lei, Y Liu Web-Age Information Management: 14th International Conference, WAIM 2013 …, 2013 | 5 | 2013 |
| Balancing multi-domain corpora learning for open-domain response generation Y Xing, J Cai, N Barlaug, P Liu, JA Gulla Findings of the Association for Computational Linguistics: NAACL 2022, 2104-2120, 2022 | 4 | 2022 |
| The 10th International Workshop on News Recommendation and Analytics (INRA 2022) Ö Özgöbek, A Lommatzsch, B Kille, P Liu, JA Gulla, EC Malthouse Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 3 | 2022 |
| Prompt and instruction-based tuning for response generation in conversational question answering Y Xing, P Liu International conference on applications of natural language to information …, 2023 | 2 | 2023 |
| The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective J de la Rosa, V Mikhailov, L Zhang, F Wetjen, D Samuel, P Liu, ... arXiv preprint arXiv:2412.09460, 2024 | 1 | 2024 |
| PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models L Zhang, P Liu, MTO Henriksboe, EW Lauvrak, JA Gulla, H Ramampiaro NeurIPS 2024 Track on Datasets and Benchmarks, 2024 | 1 | 2024 |
Jon Atle GullaProfessor of Information Systems, Norwegian University of Science and TechnologyVerified email at idi.ntnu.no
