arXiv
Open Access
2017
User Profile Based Research Paper Recommendation
Harshita Sahijwani
Sourish Dasgupta
Abstrak
We design a recommender system for research papers based on topic-modeling. The users feedback to the results is used to make the results more relevant the next time they fire a query. The user's needs are understood by observing the change in the themes that the user shows a preference for over time.
Topik & Kata Kunci
Penulis (2)
H
Harshita Sahijwani
S
Sourish Dasgupta
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2017
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓