| Alleviating cold-start problems in recommendation through pseudo-labelling over knowledge graph R Togashi, M Otani, S Satoh Proceedings of the 14th ACM international conference on web search and data …, 2021 | 38 | 2021 |
| Toward verifiable and reproducible human evaluation for text-to-image generation M Otani, R Togashi, Y Sawai, R Ishigami, Y Nakashima, E Rahtu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Enhancing knowledge graph embedding with probabilistic negative sampling V Kanojia, H Maeda, R Togashi, S Fujita Proceedings of the 26th international conference on world wide web companion …, 2017 | 15 | 2017 |
| Learning apparatus, learning method, and non-transitory computer readable storage medium R Togashi US Patent 11,521,110, 2022 | 8 | 2022 |
| Optimal correction cost for object detection evaluation M Otani, R Togashi, Y Nakashima, E Rahtu, J Heikkilä, S Satoh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| LSTM vs. BM25 for open-domain QA: A hands-on comparison of effectiveness and efficiency S Kato, R Togashi, H Maeda, S Fujita, T Sakai Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 7 | 2017 |
| Density-ratio based personalised ranking from implicit feedback R Togashi, M Kato, M Otani, S Satoh Proceedings of the Web Conference 2021, 3221-3233, 2021 | 4 | 2021 |
| Curse of "Low" Dimensionality in Recommender Systems N Ohsaka, R Togashi Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Visual intents vs. clicks, likes, and purchases in e-commerce R Togashi, T Sakai Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 3 | 2020 |
| Closing the Gap Between Query and Database through Query Feature Transformation in C2C e-Commerce Visual Search. T Yamaguchi, K Arase, R Togashi, S Ueta eCOM@ SIGIR, 2019 | 3 | 2019 |
| Classifying community qa questions that contain an image K Tamaki, R Togashi, S Kato, S Fujita, H Maeda, T Sakai Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018 | 3 | 2018 |
| Matching theory-based recommender systems in online dating Y Tomita, R Togashi, D Moriwaki Proceedings of the 16th ACM Conference on Recommender Systems, 538-541, 2022 | 2 | 2022 |
| Dual constrained question embeddings with relational knowledge bases for simple question answering K Kulkarni, R Togashi, H Maeda, S Fujita Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 2 | 2017 |
| Safe Collaborative Filtering R Togashi, T Oka, N Ohsaka, T Morimura arXiv preprint arXiv:2306.05292, 2023 | 1 | 2023 |
| Fair matrix factorisation for large-scale recommender systems R Togashi, K Abe arXiv preprint arXiv:2209.04394, 2022 | 1 | 2022 |
| Scalable Personalised Item Ranking through Parametric Density Estimation R Togashi, M Kato, M Otani, T Sakai, S Satoh Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 1 | 2021 |
| Generalising Kendall's Tau for noisy and incomplete preference judgements R Togashi, T Sakai Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019 | 1 | 2019 |
| Content-Based Viewer Estimation Using Image Features for Recommendation of Video Clips K Yamamoto, R Togashi, H Nakayama Image 1, 0.5-2.2, 2014 | 1 | 2014 |
| Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems R Togashi, K Abe, Y Saito arXiv preprint arXiv:2402.14369, 2024 | | 2024 |
| Exploration of Unranked Items in Safe Online Learning to Re-Rank H Shiino, K Ariu, K Abe, R Togashi Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
Mayu OtaniCyberAgent, Inc.Dirección de correo verificada de cyberagent.co.jp
