Yoshifumi Seki

According to our database, Yoshifumi Seki authored at least 15 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Analyzing user engagement in news application considering popularity diversity and content diversity.

Atom Sonoda, Yoshifumi Seki, Fujio Toriumi

J. Comput. Soc. Sci., November, 2022

Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks.

Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki

CoRR, 2022

2021

Dynamic Hyperbolic Embeddings with Graph-Centralized Regularization for Recommender Systems.

Kojiro Iizuka, Makoto P. Kato, Yoshifumi Seki

J. Inf. Process., 2021

Decomposition and Interleaving for Variance Reduction of Post-click Metrics.

Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

The Effect of News Article Quality on Ad Consumption.

Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

The metrics of keywords to understand the difference between Retweet and Like in each category.

Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Analysis of Short Dwell Time in Relation to User Interest in a News Application.

Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets.

Yoshifumi Seki, Takanori Maehara

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative.

Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki

CoRR, 2019

Algorithms and System Architecture for Immediate Personalized News Recommendations.

Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Analysis of Factors that affect Users' Behavioral Changes in News Service.

Atom Sonoda, Yoshifumi Seki, Fujio Toriumi

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Greedy optimized multileaving for personalization.

Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Analysis of User Dwell Time by Category in News Application.

Yoshifumi Seki, Mitsuo Yoshida

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Analysis of Bias in Gathering Information Between User Attributes in News Application.

Yoshifumi Seki, Mitsuo Yoshida

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018