Noise-robust sampling for collaborative metric learning
Ryo Matsui, Suguru Yaginuma, Taketo Naito, Kazuhide Nakata
| Year of publication: |
2022
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|---|---|
| Authors: | Matsui, Ryo ; Yaginuma, Suguru ; Naito, Taketo ; Nakata, Kazuhide |
| Published in: |
The review of socionetwork strategies. - Tokyo : Springer Japan, ISSN 1867-3236, ZDB-ID 2471097-0. - Vol. 16.2022, 2, p. 307-332
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| Subject: | Collaborative filtering | Implicit feedback | Machine learning | Metric learning | Recommendation systems | Künstliche Intelligenz | Artificial intelligence | Personalisierung | Personalization | Lernen | Learning | Lernende Organisation | Learning organization | Stichprobenerhebung | Sampling | Lernprozess | Learning process | E-Learning | E-learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12626-022-00131-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013461743