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Yoshifumi Seki
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2020 – today
- 2023
- [i10]Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
The Effect of News Article Quality on Ad Consumption. CoRR abs/2306.01781 (2023) - [i9]Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
Decomposition and Interleaving for Variance Reduction of Post-click Metrics. CoRR abs/2306.10024 (2023) - 2022
- [j2]Atom Sonoda
, Yoshifumi Seki, Fujio Toriumi:
Analyzing user engagement in news application considering popularity diversity and content diversity. J. Comput. Soc. Sci. 5(2): 1595-1614 (2022) - [i8]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks. CoRR abs/2204.11588 (2022) - 2021
- [j1]Kojiro Iizuka, Makoto P. Kato, Yoshifumi Seki:
Dynamic Hyperbolic Embeddings with Graph-Centralized Regularization for Recommender Systems. J. Inf. Process. 29: 725-734 (2021) - [c11]Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
The Effect of News Article Quality on Ad Consumption. CIKM 2021: 3107-3111 - [c10]Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
Decomposition and Interleaving for Variance Reduction of Post-click Metrics. ICTIR 2021: 221-230 - 2020
- [c9]Yoshifumi Seki, Takanori Maehara:
A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. RecSys 2020: 4-12 - [c8]Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida
Analysis of Short Dwell Time in Relation to User Interest in a News Application. WI/IAT 2020: 219-226 - [c7]Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida
The metrics of keywords to understand the difference between Retweet and Like in each category. WI/IAT 2020: 560-567 - [i7]Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
The metrics of keywords to understand the difference between Retweet and Like in each category. CoRR abs/2012.13990 (2020) - [i6]Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura:
Analysis of Short Dwell Time in Relation to User Interest in a News Application. CoRR abs/2012.13992 (2020)
2010 – 2019
- 2019
- [c6]Shunsuke Kitada
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives. KDD 2019: 2069-2077 - [c5]Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki:
Greedy optimized multileaving for personalization. RecSys 2019: 413-417 - [c4]Atom Sonoda, Yoshifumi Seki, Fujio Toriumi
Analysis of Factors that affect Users' Behavioral Changes in News Service. WI (Companion) 2019: 35-42 - [c3]Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki:
Algorithms and System Architecture for Immediate Personalized News Recommendations. WI 2019: 124-131 - [i5]Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki:
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative. CoRR abs/1905.07289 (2019) - [i4]Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki:
Greedy Optimized Multileaving for Personalization. CoRR abs/1907.08346 (2019) - [i3]Yoshifumi Seki, Mitsuo Yoshida:
Analysis of User Dwell Time by Category in News Application. CoRR abs/1908.08690 (2019) - [i2]Yoshifumi Seki, Mitsuo Yoshida:
Analysis of Bias in Gathering Information Between User Attributes in News Application. CoRR abs/1909.00554 (2019) - [i1]Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki:
Algorithms and System Architecture for Immediate Personalized News Recommendations. CoRR abs/1909.01005 (2019) - 2018
- [c2]Yoshifumi Seki, Mitsuo Yoshida
Analysis of Bias in Gathering Information Between User Attributes in News Application. IEEE BigData 2018: 4375-4382 - [c1]Yoshifumi Seki, Mitsuo Yoshida
Analysis of User Dwell Time by Category in News Application. WI 2018: 732-735
Coauthor Index
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