8 citations · 25 across the 10 of their papers we have counts for
7 papers · 1 filter
Decomposition and Interleaving for Variance Reduction of Post-click Metrics
Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato
In this study, we propose an efficient method for comparing the post-click metric (e.g., dwell time and conversion rate) of multiple rankings in online experiments. The proposed me…
The Effect of News Article Quality on Ad Consumption
Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato
Practical news feed platforms generate a hybrid list of news articles and advertising items (e.g., products, services, or information) and many platforms optimize the position of n…
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks
Shunsuke Kitada, Hitoshi Iyatomi, Yoshifumi Seki
Discontinuing ad creatives at an appropriate time is one of the most important ad operations that can have a significant impact on sales. Such operational support for ineffective a…
Analysis of Short Dwell Time in Relation to User Interest in a News Application
Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida +1
Dwell time has been widely used in various fields to evaluate content quality and user engagement. Although many studies shown that content with long dwell time is good quality, co…
The metrics of keywords to understand the difference between Retweet and Like in each category
Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida +1
The purpose of this study is to clarify what kind of news is easily retweeted and what kind of news is easily Liked. We believe these actions, retweeting and Liking, have different…
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…
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…