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} }