Maria Peifer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
5
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | From Time and Place to Preference: LLM-Driven Geo-Temporal Context in Recommendations. | Yejin Kim, Shaghayegh Agah, Neeraj Sharma, Mayur Nankani, Maria Peifer, Feifei Peng, H. Howie Huang, Sardar Hamidian |
| 2025 | RecSys | Pareto-Optimal Solution: Optimizing Engagement and Revenue. | Shaghayegh Agah, Shaun Schaeffer, Maria Peifer, Neeraj Sharma, Ankit Maheshwari, Sardar Hamidian |
| 2024 | COLING | Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users. | Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang |
| 2020 | ICASSP | Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. | Maria Peifer, Alejandro Ribeiro |
| 2019 | ICASSP | Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |
| 2018 | ACSSC | Locally Adaptive Kernel Estimation Using Sparse Functional Programming. | Maria Peifer, Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro |