基本信息
views: 39
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
Marco Polignano is a Professor Assistant at the Department of Computer Science, University of Bari Aldo Moro, Italy, in the SWAP (Semantic Web Access and Personalization) research group. He earned the Ph.D. in Computer Science and Mathematics in 2018, at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He was program committee member and reviewer for many international conferences, local organizing committee for the Ai*iA 2017 and CLiC-it 2019 conferences and organizer of the Evalita 2018 challenge - ABSITA about the aspect-based sentiment analysis. Moreover, he organized the exUM workshop 2020-2021 at the User Model and Personalization international conference. His research interests include Recommender Systems, Natural Language Processing, Machine Learning and User Profiling.
Research Interests
Papers共 73 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
Cited0Views0EIBibtex
0
0
SIGIR Forumno. 2 (2023): 17:1-17:6
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.1255-1258, (2023)
Ital-IApp.341-346, (2023)
Cited0Views0EIBibtex
0
0
Information Systems (2023): 102273
UMAPpp.1-12, (2023)
Information Processing and Management: an International Journalno. 1 (2023)
Italian Conference on Computational Linguistics (2023)
Cited0Views0EIBibtex
0
0
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.554-564, (2023)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn