Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph.
Riku Togashi|Mayu Otani|Shin'ichi Satoh
| Anthology ID: | DBLP:conf/wsdm/TogashiOS21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 931-939 |
| URL: | https://doi.org/10.1145/3437963.3441773 |
| DOI: | https://doi.org/10.1145/3437963.3441773 |
| DBLP: | conf/wsdm/TogashiOS21 |
| BibTeX: |
@inproceedings{togashi-2021-alleviating,
author = {Riku Togashi and
Mayu Otani and
Shin'ichi Satoh},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {931--939},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441773},
doi = {https://doi.org/10.1145/3437963.3441773}
}