arXiv
Open Access
2021
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics
Alejandro Bellogín
Yashar Deldjoo
Abstrak
In this position paper, we discuss recent applications of simulation approaches for recommender systems tasks. In particular, we describe how they were used to analyze the problem of misinformation spreading and understand which data characteristics affect the performance of recommendation algorithms more significantly. We also present potential lines of future work where simulation methods could advance the work in the recommendation community.
Topik & Kata Kunci
Penulis (2)
A
Alejandro Bellogín
Y
Yashar Deldjoo
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓