8 citations · 25 across the 10 of their papers we have counts for
5 papers · 1 filter
Algorithms and System Architecture for Immediate Personalized News Recommendations
Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone +3
Personalization plays an important role in many services, just as news does. Many studies have examined news personalization algorithms, but few have considered practical environme…
Analysis of Bias in Gathering Information Between User Attributes in News Application
Yoshifumi Seki, Mitsuo Yoshida
In the process of information gathering on the web, confirmation bias is known to exist, exemplified in phenomena such as echo chambers and filter bubbles. Our purpose is to reveal…
Analysis of User Dwell Time by Category in News Application
Yoshifumi Seki, Mitsuo Yoshida
Dwell time indicates how long a user looked at a page, and this is used especially in fields where ratings from users such as search engines, recommender systems, and advertisement…
Greedy Optimized Multileaving for Personalization
Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki
Personalization plays an important role in many services. To evaluate personalized rankings, online evaluation, such as A/B testing, is widely used today. Recently, multileaving ha…
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative
Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Accurately predicting conversions in advertisements is generally a challenging task, because such conversions do not occur frequently. In this paper, we propose a new framework to…