Flexibly manipulating popularity bias for tackling trade-offs in recommendation.

Hiroki Okamura|Keisuke Maeda|Ren Togo|Takahiro Ogawa|Miki Haseyama


Anthology ID:DBLP:journals/ipm/OkamuraMTOH24
Year:2024
Venue:Information Processing and Management
Pages:103606
URL:https://doi.org/10.1016/J.IPM.2023.103606
DOI:https://doi.org/10.1016/J.IPM.2023.103606
DBLP:journals/ipm/OkamuraMTOH24
BibTeX:
@article{okamura-2024-flexibly, author = {Hiroki Okamura and Keisuke Maeda and Ren Togo and Takahiro Ogawa and Miki Haseyama}, title = {{Flexibly manipulating popularity bias for tackling trade-offs in recommendation}}, journal = {Information Processing and Management}, volume = {61}, number = {2}, pages = {103606}, year = {2024}, url = {https://doi.org/10.1016/J.IPM.2023.103606}, doi = {https://doi.org/10.1016/J.IPM.2023.103606} }