Recommender systems: a survey of modern approaches
This paper is a survey of algorithms that are used in recommender systems. All related methods may be divided into three large groups: collaborative filtering, content-based and knowledge-based methods. These approaches are based on different source data that is used for recommendations computing. C...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
|
| Series: | Труды Института системного программирования РАН |
| Subjects: | |
| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/1019 |