Name
Abstract | ||
|---|---|---|
We report on the development of a recipe recommendation system using collaborative filtering and impression words. As a user interface, we adopted MMDAgent. In our system, the first recommendation process using collaborative filtering is terminated based on the previously decided condition, after which the second recommendation process identifies the recipe that is most similar to past successful recommendations from recipes that have not been recommended thus far. As a final step, one recipe is selected from all successfully recommended recipes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.2991/jrnal.2018.5.3.13 | ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS |
Keywords | Field | DocType |
Recipe recommendation,Collaborative filtering,Impression word,MMDAgent | Computer science,Decision support system,Recipe,Process management | Journal |
Volume | Issue | ISSN |
5 | 3 | 2352-6386 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keita Saito | 1 | 0 | 0.34 |
| Taro Asada | 2 | 22 | 12.38 |
| Yasunari Yoshitomi | 3 | 54 | 17.83 |
| Ryota Kato | 4 | 5 | 3.59 |
| Masayoshi Tabuse | 5 | 28 | 13.42 |