Name
Abstract | ||
|---|---|---|
The article presents current approaches to solving the problem of building recommender systems designed to intellectualize the user interface of online stores. Much attention is paid to modern methods of building recommender systems, analysing their strengths and weaknesses. Of greatest interest are the criteria for selecting effective methods for specific online stores and the authors' concept of a typical recommender system of electronic commerce. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.2478/acss-2019-0003 | APPLIED COMPUTER SYSTEMS |
Keywords | Field | DocType |
Collaborative filtering,combined co-filtering,content filtering,typical recommender system | Data science,Recommender system,Systems engineering,Computer science,Information technology,Software development,Project management | Journal |
Volume | Issue | ISSN |
24 | 1 | 2255-8683 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lyudmila Onokoy | 1 | 0 | 0.68 |
| Jurijs Lavendels | 2 | 1 | 3.33 |