Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets

論文誌・国際会議

Yoji Tomita , Riku Togashi, Yuriko Hashizume, Naoto Ohsaka

RecSys 2023

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

論文誌・国際会議

Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh

CVPR 2023

Exploration of Unranked Items in Safe Online Learning to Re-Rank

論文誌・国際会議

Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi

SIGIR2023

Curse of “Low” Dimensionality in Recommender Systems

論文誌・国際会議

Naoto Ohsaka, Riku Togashi

46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

A Critical Reexamination of Intra-List Distance and Dispersion

論文誌・国際会議

Naoto Ohsaka, Riku Togashi

46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Fair Matrix Factorisation for Large-Scale Recommender Systems

論文誌・国際会議

Riku Togashi, Kenshi Abe

RecSys 2022 FAccTRec Workshop

Matching Theory-based Recommender Systems in Online Dating

論文誌・国際会議

Yoji Tomita, Daisuke Moriwaki, Riku Togashi

RecSys 2022

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

論文誌・国際会議

Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkila, Tetsuya Sakai, Shin'ichi Satoh

CVPR 2022

Optimal Correction Cost for Object Detection Evaluation

論文誌・国際会議

Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh

CVPR 2022

Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph

論文誌・国際会議

富樫 陸, 大谷 まゆ, 佐藤 真一

WSDM 2021

Scalable Personalised Item Ranking through Parametric Density Estimation

論文誌・国際会議

Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh

SIGIR 2021

Density-Ratio Based Personalised Ranking from Implicit Feedback

論文誌・国際会議

Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh

WWW 2021