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Author

Riku Togashi

Observed name: Togashi, Riku
Institution: CyberAgent (Japan)
ORCID: 0000-0001-9026-0495
Observed ORCID: 0000-0001-9026-0495
OpenAlex ID: A5006505274
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
2023 · Mayu Otani, Riku Togashi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 97
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Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
2021 · Riku Togashi, Mayu Otani, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 64
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Optimal Correction Cost for Object Detection Evaluation
2022 · Mayu Otani, Riku Togashi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 25
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Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling
2017 · Vibhor Kanojia, Hideyuki Maeda, et al. · International World Wide Web Conference (WWW) · 14
Curse of "Low" Dimensionality in Recommender Systems
2023 · Naoto Ohsaka, Riku Togashi · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 13
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LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
2024 · Otani, Mayu, Inoue, Naoto, et al. · arXiv (Cornell University) · 11
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Matching Theory-based Recommender Systems in Online Dating
2022 · Yoji Tomita, Riku Togashi, et al. · ACM Conference on Recommender Systems (RecSys) · 11
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Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets
2023 · Yoji Tomita, Riku Togashi, et al. · ACM Conference on Recommender Systems (RecSys) · 8
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Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems
2024 · Riku Togashi, Kenshi Abe, et al. · International World Wide Web Conference (WWW) · 7
Visual Intents vs. Clicks, Likes, and Purchases in E-commerce
2020 · Riku Togashi, Tetsuya Sakai · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 6
Uplift Modeling for Cost Effective Coupon Marketing in C-to-C E-Commerce
2019 · Akihiro Shimizu, Riku Togashi, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 6
Fair Matrix Factorisation for Large-Scale Recommender Systems
2022 · Togashi, Riku, Abe, Kenshi · arXiv (Cornell University) · 5
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Density-Ratio Based Personalised Ranking from Implicit Feedback
2021 · Riku Togashi, Masahiro Kato, et al. · International World Wide Web Conference (WWW) · 5
Instance-wise Supervision-level Optimization in Active Learning
2025 · Shinnosuke Matsuo, Riku Togashi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4
LSTM vs. BM25 for Open-domain QA
2017 · Sosuke Kato, Riku Togashi, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 4
DM2S2: Deep Multimodal Sequence Sets With Hierarchical Modality Attention
2022 · Shunsuke Kitada, Yuki Iwazaki, et al. · IEEE Access · 3
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Classifying Community QA Questions That Contain an Image
2018 · Kenta Tamaki, Riku Togashi, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 3
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Safe Collaborative Filtering
2024 · Riku Togashi, Tatsushi Oka, et al. · SSRN Electronic Journal · 2
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
2022 · Riku Togashi, Mayu Otani, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2
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Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements
2019 · Riku Togashi, Tetsuya Sakai · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 2
Closing the Gap Between Query and Database through Query Feature Transformation in C2C e-Commerce Visual Search.
2019 · Takuma Yamaguchi, Kosuke Arase, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2
Robust Nearest Neighbors for Source-Free Domain Adaptation Under Class Distribution Shift
2024 · Antonio Tejero-de-Pablos, Riku Togashi, et al. · Lecture notes in computer science · 1
A Critical Reexamination of Intra-List Distance and Dispersion
2023 · Naoto Ohsaka, Riku Togashi · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
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Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering
2017 · Kaustubh Kulkarni, Riku Togashi, et al. · International Joint Conference on Natural Language Processing · 1
Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
2026 · Kishimoto, Ren, Takehi, Rikiya, et al. · arXiv (Cornell University)
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Works count: 32
Citation count: 297
H-index: 8
I10-index: 7
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