Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yoichi Inagaki"'
Publikováno v:
Transactions on Engineering Technologies ISBN: 9789813298071
Finding important users from social media is a challenging and significant task. In this paper, we focus on the users in the blogosphere and propose an approach to identify prophetic bloggers by estimating bloggers’ prediction ability on buzzwords
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da8fe0b3d63b9a2cbb5b02bac779326
https://doi.org/10.1007/978-981-32-9808-8_6
https://doi.org/10.1007/978-981-32-9808-8_6
Publikováno v:
International Journal of Web Information Systems. 12:267-291
Purpose Identifying important users from social media has recently attracted much attention in the information and knowledge management community. Although researchers have focused on users’ knowledge levels on certain topics or influence degrees o
Autor:
Junichi Aoi, Reyn Nakamoto, Yuriko Yamaguchi, Panote Siriaraya, Jianwei Zhang, Yoichi Inagaki, Mimpei Morishita, Shinsuke Nakajima
Publikováno v:
IEEE BigData
Online advertising has become a popular method for companies to market their products and services to potential customers. The methods used by conventional web advertisement systems to decide on which advertisements to display to users in a real-time
Publikováno v:
SIGIR
We propose a method to clarify the evolution of users' information needs related to a user's interests and actions based upon life events such as "childbirth." First, we extract topic transitions using dynamic topic models from blogs posted by users
Publikováno v:
iiWAS
Identifying important users from social media has recently attracted much attention in information and knowledge management community. Although researchers have focused on users' knowledge levels on certain topics or influence degrees on other users
Publikováno v:
HT
In this paper, we discuss a method for early detection of "gradual buzzwords" by analyzing time-series data of blog entries. We observe the process in which certain topics grow to become major buzzwords and determine the key indicators that are neces
Autor:
Yoichi Inagaki, Yukiko Kawai, Kazutoshi Sumiya, Takayuki Yumoto, Katsumi Tanaka, Jianwei Zhang, Ryong Lee, Yusuke Yamamoto, Shinsuke Nakajima, Hiroaki Ohshima, Adam Jatowt, Daisuke Kitayama, Satoshi Nakamura
Publikováno v:
ICUIMC
We describe a new concept and method for evaluating the Web information credibility. The quality control of information (text, image, video etc.) on the Web is generally insufficient due to low publishing barriers. As a result, there is a large amoun
Publikováno v:
Web Information Systems Engineering-WISE 2009 ISBN: 9783642044083
WISE
WISE
With the huge increase of recently popular user-generated content on the Web, searching for credible information has become progressively difficult. In this paper, we focus on blogs, one kind of user-generated content, and propose a credibility-focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59e1b758af1bf2e5b0c65432d2bf6098
https://doi.org/10.1007/978-3-642-04409-0_26
https://doi.org/10.1007/978-3-642-04409-0_26
Autor:
Reyn Nakamoto, Shinsuke Nakajima, Yoichi Inagaki, Hirokazu Kato, Shunsuke Uemura, Jun Miyazaki
Publikováno v:
WICOW
In this paper, we present a tag-based collaborative filtering recommendation method for use with recently popular online social tagging systems. Combining the information provided by tagging systems with the effective recommendation abilities given b
Publikováno v:
The Japanese Journal of Rehabilitation Medicine. 22:73-78
国鉄の下腿切断職員およびOB 111名に対して4年間にわたる義足破損調査を行い,義足の使用状況,破損状況(部位,頻度)を調べ,破損原因について検討した.1) 軽作業に従事するため,機能性にす