Name
Title | ||
|---|---|---|
HPCF: Hybrid Music Group Recommendation System based on Item Popularity and Collaborative Filtering |
Abstract | ||
|---|---|---|
Group recommendation system is designed to pleasure a certain group of people by providing recommendation lists to prevent information overload. This paper proposes HPCF, which combines item popularity and preference of the group members to optimize the quality of recommendation. Evaluation results show that the HPCF outperforms popularity-based methods and Singular Value Decomposition based methods. In our experiments, HPCF scheme improves the accuracy of recommendation by 8.7% to 19.8% in different conditions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICS51289.2020.00019 | 2020 International Computer Symposium (ICS) |
Keywords | DocType | ISBN |
music,group recommendation system,hybrid approach,collaborative filtering,item popularity | Conference | 978-1-7281-9256-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Han Chen | 1 | 0 | 0.34 |
| Sok-Ian Sou | 2 | 0 | 1.01 |
| Hsun-Ping Hsieh | 3 | 0 | 1.01 |