9 citations · 34 across the 18 of their papers we have counts for
5 papers · 1 filter
Fair Matrix Factorisation for Large-Scale Recommender Systems
Riku Togashi, Kenshi Abe
Recommender systems are hedged with various requirements, such as ranking quality, optimisation efficiency, and item fairness. Item fairness is an emerging yet impending issue in p…
DMS: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
Shunsuke Kitada, Yuki Iwazaki, Riku Togashi +1
There is increasing interest in the use of multimodal data in various web applications, such as digital advertising and e-commerce. Typical methods for extracting important informa…
Matching Theory-based Recommender Systems in Online Dating
Yoji Tomita, Riku Togashi, Daisuke Moriwaki
Online dating platforms provide people with the opportunity to find a partner. Recommender systems in online dating platforms suggest one side of users to the other side of users.…
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Riku Togashi, Mayu Otani, Yuta Nakashima +3
Evaluation measures have a crucial impact on the direction of research. Therefore, it is of utmost importance to develop appropriate and reliable evaluation measures for new applic…
Optimal Correction Cost for Object Detection Evaluation
Mayu Otani, Riku Togashi, Yuta Nakashima +3
Mean Average Precision (mAP) is the primary evaluation measure for object detection. Although object detection has a broad range of applications, mAP evaluates detectors in terms o…