Riku Togashi

2024

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Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems.
Riku Togashi|Kenshi Abe|Yuta Saito
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

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Curse of "Low" Dimensionality in Recommender Systems.
Naoto Ohsaka|Riku Togashi
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
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A Critical Reexamination of Intra-List Distance and Dispersion.
Naoto Ohsaka|Riku Togashi
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
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Exploration of Unranked Items in Safe Online Learning to Re-Rank.
Hiroaki Shiino|Kaito Ariu|Kenshi Abe|Riku Togashi
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2021

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Scalable Personalised Item Ranking through Parametric Density Estimation.
Riku Togashi|Masahiro Kato|Mayu Otani|Tetsuya Sakai|Shin'ichi Satoh
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
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Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph.
Riku Togashi|Mayu Otani|Shin'ichi Satoh
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
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Density-Ratio Based Personalised Ranking from Implicit Feedback.
Riku Togashi|Masahiro Kato|Mayu Otani|Shin'ichi Satoh
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

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Automatic Evaluation of Iconic Image Retrieval based on Colour, Shape, and Texture.
Riku Togashi|Sumio Fujita|Tetsuya Sakai
Proceedings of the 2020 on International Conference on Multimedia Retrieval, ICMR 2020, Dublin, Ireland, June 8-11, 2020.
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Visual Intents vs. Clicks, Likes, and Purchases in E-commerce.
Riku Togashi|Tetsuya Sakai
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

2019

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Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements.
Riku Togashi|Tetsuya Sakai
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.

2018

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Classifying Community QA Questions That Contain an Image.
Kenta Tamaki|Riku Togashi|Sosuke Kato|Sumio Fujita|Hideyuki Maeda|Tetsuya Sakai
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018

2017

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LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency.
Sosuke Kato|Riku Togashi|Hideyuki Maeda|Sumio Fujita|Tetsuya Sakai
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
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Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling.
Vibhor Kanojia|Hideyuki Maeda|Riku Togashi|Sumio Fujita
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017
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Euclidean Image Embedding in view of Similarity Ranking in Auction Search by Image.
Riku Togashi|Hideyuki Maeda|Vibhor Kanojia|Kousuke Morimoto|Sumio Fujita
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017