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Taketoshi Ushiama Last modified date：2023.11.27

Associate Professor / Media Eng.
Department of Media Design
Faculty of Design


Graduate School
Media Design Course
Graduate School of Design
Content and Creative Design Course
Graduate School of Design
Undergraduate School
Department of Design
School of Design
Department of Design
School of Design
Other Organization
Center for Designed Futures of Kyushu University


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Homepage
https://kyushu-u.elsevierpure.com/en/persons/taketoshi-ushiama
　Reseacher Profiling Tool　Kyushu University Pure
http://www.design.kyushu-u.ac.jp/~ushiama/
Phone
092-553-4469
Fax
092-553-4469
Academic Degree
Ph.D (Eng.)
Country of degree conferring institution (Overseas)
No
Field of Specialization
Environment Design, Web Informatics
Total Priod of education and research career in the foreign country
00years00months
Outline Activities
Dr. Ushiama conducts research on digital content environment design for effective utilization of the large amount of digital content that exists on the Internet. In particular, he conducts research on information retrieval, information recommendation, and automatic content generation and editing using AI, machine learning, and web technologies. In terms of education, he teaches lectures and exercises on a wide range of areas related to the latest cyberspace design and information technology.
Research
Research Interests
  • Interactive viewing support using generative AI
    keyword : Generative AI, Interactive viewing
    2022.04.
  • Interactive educational environment using generative AI
    keyword : Generative AI, interactive agents
    2022.04.
  • Automatic generation of illustrations for novels using generative AI
    keyword : Generated AI, illustrations
    2022.04.
  • Improving the music listening experience for subscription services
    keyword : subscription services, Music Experience, Music Recommendation
    2021.04～2023.03.
  • Explainable recommendations and supporting users
    keyword : XAI, recommender system
    2022.04.
  • Development of recommendation method based on empathy
    keyword : empathy, recommendation
    2018.04～2023.03.
  • Product selection support using online reviews
    keyword : Online review
    2019.04.
  • Workout support using video
    keyword : video, workout, AI
    2020.04.
  • Automatic generation of catch copy with AI
    keyword : AI, generation, catch copy, GAN
    2020.04～2023.03.
  • Automatic generation of advertisement images with AI
    keyword : AI, generation, image, GAN
    2020.04～2023.03.
  • Viewing support based on status estimation of sports using SNS
    keyword : SNS, Live Tweet
    2018.04～2021.03.
  • A Study on automatic generation of infographics from cooking recipes
    keyword : recipe, infographics
    2019.10～2022.03.
  • A study of IoT devices working with recipies
    keyword : IoT
    2017.04～2020.03.
  • A study of recommender system on interactive systems
    keyword : Recommender system, interactive system, time series data
    2016.04.
  • Study on tweet filtering based on impression estimation by reader
    keyword : Impression estimation, Twitter, data mining
    2016.04～2017.03.
  • A study on extraction of response patterns of viewers of TV dramas using SNS
    keyword : SNS, sentiment analysis, response pattern, LDA
    2016.04～2019.03.
  • A study for extracting characteristic features of fun of music artists based on SNS
    keyword : SNS, profile, infomatrion extraction
    2016.04～2017.03.
  • A study on serious games to support collaboration between strangers in the local area
    keyword : Serious game, gamification, collaboration
    2016.04～2017.03.
  • A study on user recommendation with high serendipity in SNS
    keyword : SNS, recommendation, serendipity
    2016.04～2017.03.
  • A study on generating pictorial maps based on photos posted on SNS
    keyword : SNS, automatic generation, bigdata
    2016.04～2017.03.
  • A Study on composition support based on characteristics of existing songs
    keyword : Big data, AI, data mining
    2016.04～2019.03.
  • Recommendation Optimization based on feedbacks on user reviews
    keyword : review, feedback, optimization, recommendation
    2015.01～2019.03.
  • Recommendation of Fashion Information based on preference on trend
    keyword : SNS, fashion, recommendation
    2015.01～2017.03.
  • News Browsing Support Based on Reactions on SNS
    keyword : news categorization, SNS
    2015.01.
  • Automatic Optimization of Web Pages based on User's Browsing Intention
    keyword : intention mining, optimization, web browsing
    2015.01～2019.03.
  • Visualizing Social and Cultural Patterns through SNS
    keyword : SNS, Visualization
    2014.04.
  • Studies for User Adaptive Interface
    keyword : Interface, Web, Digital Contents, SNS
    2014.04～2015.03.
  • contents selection method based on diffrence enhancement
    keyword : example, contents selection
    2013.04～2016.03.
  • A browsing method for social streams using the kactel party effect
    keyword : Sound browsing, social stream
    2012.04～2015.03.
  • A Method for Recommending TV Anime Programs Based on User Behaviors of Social Viewing
    keyword : Twitter, Collaborative filtering
    2014.04～2016.03.
  • A ranking method for Art SNS
    keyword : SNS, ranking
    2014.04～2016.03.
  • microblog classification method based on user's responses
    keyword : microblog, response
    2013.04～2014.03.
  • A method for composing ad-hoc follow network on Twitter for information of real world events
    keyword : ad-hoc follow network, Twitter
    2012.04～2014.03.
  • Automatic Generation of Interactive Dance Tutorials Based on Behaviors of Dancers
    keyword : Behavior, dance, interactive tutorial
    2014.04～2015.03.
  • A method for effective item selection based on user behavir on smartphone
    keyword : behavior, smartphone, ranking
    2014.04～2016.03.
  • sosial infrastructure utlizing social media
    keyword : social infrastructure, sosial meida
    2013.04.
  • A context-adaptive interface of a social stream based on dropped content
    keyword : dropped content, social stream
    2012.04～2015.03.
  • A ranking method of online reviews for efficient item selection
    keyword : review, ranking, recommendation
    2014.04～2016.03.
  • A Study on Recommendation System Corresponding to User’s Mental State
    keyword : recommendation
    2014.04～2015.03.
  • social viewing system for enrich the simpathy among users
    keyword : social viewing, shimpathy
    2013.04.
  • A recombination method for musical artists based on relationship between them
    keyword : recommendation
    2012.04～2013.03.
  • Development of a comunication ware
    keyword : smart phone, communication support
    2013.10～2017.03.
  • A method for personalized ranking of items based on micro-blog articles
    keyword : ranking, microblog
    2011.04～2012.03.
  • A study for recommending touring places based on transfer logs of travelers
    keyword : recommendation, transfer logs, tourism
    2011.04～2012.03.
  • A study for a book recommendation method based on user reviews on the Internet
    keyword : recommendation, user reviews
    2011.04～2012.04.
  • A study for ranking geo-information based on GPS logs
    keyword : GPS logs, Geo-information, ranking
    2011.04～2014.03.
  • A study for detecting false rumors on micro-blog services
    keyword : Microblog,
    2011.04～2012.04.
  • Personal content environment based on the experience Web(X-Web)
    keyword : X-Web, personal content environment
    2005.03～2008.03.
  • A study on lifelog search
    keyword : Lifelog
    2004.04～2008.04.
  • A study on WWW search engine based on problem-solving cases
    keyword : Web search engine, problem-solving cases
    2003.04～2004.03Study on Objective Oriented WWW Search Based on Problem Solving Cases: The purpose of this study is to support for searching WWW pages adaptable for solving problems of users. For this purpose, we develop a data model for reorganizing WWW pages from the view of problem solving in the real world and for providing generalization and specialization operations on the problem solving cases..
  • A study on an asynchronous video communication system
    keyword : Asynchronous, video, communication
    2001.04～2003.03Research on asynchronous video comunication systems: This research aims to support effective communications using asynchronously transmitted video messages. For this objective, we develop data model for managing video messages based on their semantics and communication context..
  • A method for composing video storyboards based on semantics
    keyword : Video, storyboard, video database
    2000.04～2002.04We developed an approach for the browsing video databases with hyper-storyboard that are generated automatically from semantic content descriptions of video. In the hyper-storyboard, video frames are linked each other based on their semantic relationships, and end users can traverse these links. This mechanism supports nonlinear semantic content-based accesses of video, and users are able to observe interesting frames and scenes in video interactively according to situations..
  • A study on next generation GIS
    keyword : GIS
    2005.04～2008.03.
  • Study on Next Generation Interface based on Media Art Presentation
    keyword : Media art
    2006.04～2009.03.
  • A method of desktop search based on implicit link structure of personal content
    keyword : personal content, implicit link, data mining, desktop search
    2007.04～2009.03.
  • Browsing of digital content on mobile phone in the real world
    keyword : AR, mobile phone, content, browsing
    2008.04～2010.03.
  • A recommendation system for daily behavior of users based microblogging service
    keyword : Microblogging, twitter, recommendation
    2008.04～2012.03.
  • An automatic composition method for attractive photo slideshows
    keyword : Slideshow composition, attractiveness
    2008.04～2012.03.
  • A method for automatic composition of browsing route in a museum
    keyword : Museum, recommendation, HITS algorithm
    2009.04～2012.03.
  • A study on “stand reading” of e-book based on book reviews
    keyword : e-book, review, recommendation
    2010.04～2014.03.
  • A study on composing a personalized ranking chart for user generated contents (UGSs)
    keyword : User generated contents, personalized ranking
    2009.04～2012.03.
  • A method for virtual fusing actual contents in the real world using smartphones
    keyword : Augmented reality, personalized reality, smart phone, virtual fusion of contents
    2008.04～2012.03.
Academic Activities
Books
 Show All Books >>
1. Chihiro Maehara, Kotaro Yatsugi, Daewoong Kim and Taketoshi Ushiama, Innovations in Intelligent Machines – 2
Intelligent Paradigms and Applications, Springer, pp. 131-141, 2012.02.
Papers
 Show All Papers >>
1. Teruki Nakahara, Taketoshi Ushiama, Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters, Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23), 10.1145/3555776.3577670, 2023.03.
2. Nodoka Fujimoto, Taketoshi Ushiama, Situational Estimation of Sports Broadcasting using a Character Level Auto-Encoder for Live Tweets, Proceedings of The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020.12.
3. Yan Zhou, Taketoshi Ushiama, LSTM-based recommendation approach for interaction records, 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019 Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019, 10.1007/978-3-030-19063-7_74, 950-962, 2019.01, Interactive platforms such as Spotify and Steam currently play an increasingly important role on the Internet. Users continuously use the content on these platforms. Therefore, the most important data in interactive platforms are interaction records, which contain an enormous amount of information regarding user interests at any given time. However, previous recommendation approaches have been unable to process such records satisfactorily. Therefore, we propose an LSTM-based recommendation approach for interaction records. In our approach, we used a recurrent neural network (RNN) based on LSTM to make recommendations by learning user interests and their changing trend. We propose a pretreatment called serial filling at equal ratio to apply LSTM. Further, we used a dimensionality reduction technique based on matrix factorization to improve the system efficiency. Finally, we evaluated our approach using Steam datasets. As indicated by the results, our approach performs better than other conventional approaches in three aspects: Accuracy, efficiency, and diversity..
4. Yan Zhou, Taketoshi Ushiama, A collaborative filtering method for interactive platforms, Proceedings of 12th International Conference on Digital Information Management, 10.1109/ICDIM.2017.8244679, 75-80, 2017.09.
5. Tomoaki Imajo, Kazutoshi Sumiya, Taketoshi Ushiama, An SNS Based on Implicit Beneficial Social Relations in A Regional Community, Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016.01, In this paper, we propose a novel Social Networking Service (SNS) for a regional community. The purpose of the SNS is to support and encourage people by making them aware beneficial social relations in the real world. The conventional SNSs can hardly deal with beneficial social relations, because they are implicit and dynamic. The proposed SNS is designed to provide positive information for two types of people: people who does community voluntary works, such as cleaning, as contributors, and people who receives benefit from them as beneficiary. This paper introduces the basic scheme based on the SNS for beneficial social relations, and evaluates the effectiveness of our scheme based on the result of the experimental studies. The experimental result shows the users of our SNS tend to consider the information about the voluntary works valuable if they have been performed in their living area, and it suggests that our proposed SNS system would work well in a regional community..
Presentations
 Show All Presentations >>
1. Tomoaki Imajyo, Taketoshi Ushiama, An SNS Based on Implicit Beneficial Social Relations in a Reginal Community, ACM the 10th International Conference on Ubiquitous Information Management and Communication, 2016.01.
Membership in Academic Society
  • The Association for Natural Language Processing
Educational
Educational Activities
Dr. Ushiama teaches the latest technologies for information retrieval, information recommendation, automatic content generation and editing, and their impact on society using the Web-based digital content usage environment and AI and machine learning technologies.
Social
Professional and Outreach Activities
I have been one of lectures of the public cause of the WWW site design with DBMS since 2000..


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