Research keywords (5)：
Machine Learning
, Data Mining
, Natural Language Processing
, User Behavior Analysis
, Recommender System
Papers (10)：
Yoshifumi Seki, Takanori Maehara. A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. Fourteenth ACM Conference on Recommender Systems. 2020
Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida 0001, Kyoji Umemura. Analysis of Short Dwell Time in Relation to User Interest in a News Application. CoRR. 2020. abs/2012.13992
Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida 0001, Kyoji Umemura. The metrics of keywords to understand the difference between Retweet and Like in each category. CoRR. 2020. abs/2012.13990
Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki. Algorithms and System Architecture for Immediate Personalized News Recommendations. IEEE/WIC/ACM International Conference on Web Intelligence (WI'19). 2019
Kojiro Iizuka, Takeshi Yoneda, Yoshifumi Seki. Greedy Optimized Multileaving for Personalization. The 13th ACM Recommender Systems Conference (Recsys 2019). 2019
