ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users.
Yuki Maeda|Shuji Yamaguchi|Tatsuru Higurashi|Kota Tsubouchi
| Anthology ID: | DBLP:conf/wsdm/MaedaYHT21 |
|---|---|
| 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: | 894-897 |
| URL: | https://doi.org/10.1145/3437963.3441700 |
| DOI: | https://doi.org/10.1145/3437963.3441700 |
| DBLP: | conf/wsdm/MaedaYHT21 |
| BibTeX: |
@inproceedings{maeda-2021-colorfulfeedback,
author = {Yuki Maeda and
Shuji Yamaguchi and
Tatsuru Higurashi and
Kota Tsubouchi},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {894--897},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441700},
doi = {https://doi.org/10.1145/3437963.3441700}
}