Yasuo Kudo
Biographic Data
| ID | 5996325 |
|---|---|
| NAME | Yasuo Kudo |
| GIVEN NAMES | Yasuo |
| FAMILY NAME | Kudo |
| SIGNATURE | KUDO Y |
| AFFILIATIONS | Muroran Institute of Technology |
| ORCID | 0009-0009-2968-1448 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network
The recommender system (RS) can help us extract valuable data from a huge amount of raw information. User-based collaborative filtering (UBCF) is widely employed in practical RSs due to its outstanding performance. However, the traditional UBCF is subject to the new user cold-start issue because a new user is often extreme lack of available rating information. In this article, we develop a novel approach that incorporates a bipartite network into…
Partial and paraconsistent approaches to future contingents in tense logic
No prominent works on this page.
Partial and paraconsistent approaches to future contingents in tense logic
Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network
The recommender system (RS) can help us extract valuable data from a huge amount of raw information. User-based collaborative filtering (UBCF) is widely employed in practical RSs due to its outstanding performance. However, the traditional UBCF is subject to the new user cold-start issue because a new user is often extreme lack of available rating information. In this article, we develop a novel approach that incorporates a bipartite network into…
Artificial Intelligence (2 works) · Computer Science (2 works) · Mathematics (2 works) · Advanced Algebra and Logic (1 work) · Advanced Clustering Algorithms Research (1 work) · Artificial Intelligence (1 work) · Bipartite graph (1 work) · Cluster analysis (1 work) · Cold start (automotive) (1 work) · Collaborative filtering (1 work)