Simone Borg Bruun
PhD Student
Machine Learning
Universitetsparken 1, 2100 København Ø
1 - 4 out of 4Page size: 10
- 2023
- Published
Graph-Based Recommendation for Sparse and Heterogeneous User Interactions
Bruun, Simone Borg, Leśniak, K. K., Biasini, M., Carmignani, V., Filianos, P., Lioma, Christina & Maistro, Maria, 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer, p. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13980 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
Bogers, T., Musto, C., Wang, D., Felfernig, A., Bruun, Simone Borg, Semeraro, G. & Zheng, Y., 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 688-690 3 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Learning Recommendations from User Actions in the Item-poor Insurance Domain
Bruun, Simone Borg, Maistro, Maria & Lioma, Christina, 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 113-123 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2021
- Published
Learning dynamic insurance recommendations from users' click sessions
Bruun, Simone Borg, 13 Sep 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 860-863 4 p. (RecSys 2021 - 15th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 259143155