Peng Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Language Modelling

Contextual Bandit

News Recommendation

Sentiment Analysis

Top Venues

Inf. Process. Manag.

Publications

Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges. CoRR (2024)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. SIGIR Forum 57 (2) (2023)
Lemei Zhang, Peng Liu, Jon Atle Gulla
Recommending on graphs: a comprehensive review from a data perspective. User Model. User Adapt. Interact. 33 (4) (2023)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems. Trans. Assoc. Comput. Linguistics 11 (2023)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). RecSys (2023)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems. CoRR (2023)
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR (2022)
Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation. CoRR (2022)
Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation. NAACL-HLT (Findings) (2022)
Peng Liu, Cristina Marco, Jon Atle Gulla
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings. LREC (2022)
Lemei Zhang, Peng Liu, Jon Atle Gulla
Recommending on Graphs: A Comprehensive Review from Data Perspective. CoRR (2022)
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla
9th International Workshop on News Recommendation and Analytics. RecSys (2021)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. ACM Trans. Inf. Syst. 39 (2) (2021)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Dynamic attention-based explainable recommendation with textual and visual fusion. Inf. Process. Manag. 57 (6) (2020)
Lemei Zhang, Peng Liu, Jon Atle Gulla
Dynamic attention-integrated neural network for session-based news recommendation. Mach. Learn. 108 (10) (2019)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Real-time social recommendation based on graph embedding and temporal context. Int. J. Hum. Comput. Stud. 121 (2019)
Peng Liu, Cristina Marco, Jon Atle Gulla
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon. INRA@RecSys (2019)
Peng Liu, Lemei Zhang, Jon Atle Gulla
Learning Multi-granularity Dynamic Network Representations for Social Recommendation. ECML/PKDD (2) (2018)
Lemei Zhang, Peng Liu, Jon Atle Gulla
A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation. HT (2018)
Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, Xiaomeng Su
The Adressa dataset for news recommendation. WI (2017)
Lemei Zhang, Peng Liu, Jon Atle Gulla
A Neural Time Series Forecasting Model for User Interests Prediction On Twitter. UMAP (2017)
Peng Liu, Jon Atle Gulla, Lemei Zhang
Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News. WISE (2) (2016)