Peng Liu

According to our database, Peng Liu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models.

Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro

CoRR, 2024

Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges.

Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla

CoRR, 2024

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.

Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023.

Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide

SIGIR Forum, December, 2023

Recommending on graphs: a comprehensive review from a data perspective.

Lemei Zhang, Peng Liu, Jon Atle Gulla

User Model. User Adapt. Interact., September, 2023

Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Trans. Assoc. Comput. Linguistics, 2023

Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems.

Peng Liu, Lemei Zhang, Jon Atle Gulla

CoRR, 2023

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23).

Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.

Yujie Xing, Peng Liu

Proceedings of the Natural Language Processing and Information Systems, 2023

2022

The 10th International Workshop on News Recommendation and Analytics (INRA 2022).

Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation.

Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings.

Peng Liu, Cristina Marco, Jon Atle Gulla

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis.

Peng Liu, Lemei Zhang, Jon Atle Gulla

ACM Trans. Inf. Syst., 2021

9th International Workshop on News Recommendation and Analytics.

Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla

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

2020

Exploiting Latent Context for Effective Social Recommendation.

Peng Liu

PhD thesis, 2020

Dynamic attention-based explainable recommendation with textual and visual fusion.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Inf. Process. Manag., 2020

2019

Dynamic attention-integrated neural network for session-based news recommendation.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Mach. Learn., 2019

Real-time social recommendation based on graph embedding and temporal context.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Int. J. Hum. Comput. Stud., 2019

Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon.

Peng Liu, Cristina Marco, Jon Atle Gulla

Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

2018

Learning Multi-granularity Dynamic Network Representations for Social Recommendation.

Peng Liu, Lemei Zhang, Jon Atle Gulla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Proceedings of the 29th on Hypertext and Social Media, 2018

2017

The Adressa dataset for news recommendation.

Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, Xiaomeng Su

Proceedings of the International Conference on Web Intelligence, 2017

A Neural Time Series Forecasting Model for User Interests Prediction On Twitter.

Lemei Zhang, Peng Liu, Jon Atle Gulla

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News.

Peng Liu, Jon Atle Gulla, Lemei Zhang

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016