Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tatsuru Higurashi"'
Autor:
Akihiro Yoshida, Tatsuru Higurashi, Masaki Maruishi, Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Takashi Wakamatsu, Kenichi Nagamatsu, Akira Tajima, Katsuki Fujisawa
Publikováno v:
Data Science and Engineering, Vol 5, Iss 1, Pp 48-64 (2019)
Abstract The studies of browsing behavior have gained increasing attention in web analysis for providing better service. Most of the conventional approaches focus on simple indices such as average dwell time and conversion rate. These indices make si
Externí odkaz:
https://doaj.org/article/0073b28332284ddaac13f306cd0870a1
Autor:
Miyu Fujii, David Taingngin, Keiichiro Yamamura, Nozomi Hata, Hiroki Kai, Ryuji Noda, Hiroki Ishikura, Tatsuru Higurashi, Katsuki Fujisawa
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
WSDM
Recommendation systems help to predict user demand and improve the quality of services offered. While the performance of a recommendation system depends on the quality and quantity of feedback from users, the two major approaches to feedback sacrific
Publikováno v:
IEEE BigData
These days, many apps acquire location data as a way of estimating the user’s behavior. As such, there are privacy concerns in using location data. In particular, users who are concerned about privacy may reduce the frequency of location acquisitio
Autor:
Akira Tanaka, Katsuki Fujisawa, Takashi Wakamatsu, Yosuke Yatsushiro, Akihiro Yoshida, Nozomi Hata, Nariaki Tateiwa, Tatsuru Higurashi, Kenichi Nagamatsu
Publikováno v:
IEEE BigData
One of the most critical problems in bike-sharing services is a bicycle repositioning problem, which is how service providers must relocate their bicycles to maintain the quality of service. In this paper, we propose an end-to-end approach for the bi
Autor:
Ken Kobayashi, Takeshi Masuyama, Tabuchi Yoshimune, Tatsuru Higurashi, Murao Kazuma, Taichi Yatsuka, Hayato Kobayashi
Publikováno v:
NAACL-HLT (2)
There have been many studies on neural headline generation models trained with a lot of (article, headline) pairs. However, there are few situations for putting such models into practical use in the real world since news articles typically already ha