Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].

Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].

The paper aims to propose cooperative reading, which is a reading support technique that allows library users to help each other. To achieve cooperative reading, it is necessary for a user to discover others with similar interests. Therefore, this paper also aims to develop and evaluate a recommenda...

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Bibliographic Details
Main Authors: Tsunekawa, Mao, Ono, Haruki, Konishi, Kyoji, Tsuji, Keita, Matsumura, Atsushi, Uda, Norihiko
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Library Science. Information Science
Online Access:http://ir.uitm.edu.my/id/eprint/3563/
http://ir.uitm.edu.my/id/eprint/3563/1/K_MAO%20TSUNEKAWA%20A-LIEP%20IM%2011.pdf
id uitm-3563
recordtype eprints
spelling uitm-35632019-06-20T07:12:04Z http://ir.uitm.edu.my/id/eprint/3563/ Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al]. Tsunekawa, Mao Ono, Haruki Konishi, Kyoji Tsuji, Keita Matsumura, Atsushi Uda, Norihiko Library Science. Information Science The paper aims to propose cooperative reading, which is a reading support technique that allows library users to help each other. To achieve cooperative reading, it is necessary for a user to discover others with similar interests. Therefore, this paper also aims to develop and evaluate a recommendation function that recommends similar users using Nippon Decimal Classification (NDC) Tree Profiling. Is the user recommendation using NDC Tree Profiling effective in finding similar users? Which parameter of NDC Tree Profiling method is the most effective expression of users‘ interests? We developed the Shizuku2.0 system to support the creation of a library user community in which users help each other efficiently and mutually. We also designed and developed NDC Tree Profiling, which enables the creation of library user profiles, for the purposes of the user recommendation mechanism. To verify the effect of the user recommendation mechanism, we performed an experiment with 37 student users to calculate recall and precision. We found that the recommendation using NDC Tree Profiling is more effective than a random recommendation. However, we also recognized that there is room for improvement relative to a past information recommendation technique. Moreover, we found the second level of the NDC code could be the most effective expression of users‘ interests. In the discussion of the optimization of parameters, we propose a new way of implementing the NDC Tree, based on the second division of NDC, which is expected to improve creation of user profiles. 2011 Conference or Workshop Item PeerReviewed text en http://ir.uitm.edu.my/id/eprint/3563/1/K_MAO%20TSUNEKAWA%20A-LIEP%20IM%2011.pdf Tsunekawa, Mao and Ono, Haruki and Konishi, Kyoji and Tsuji, Keita and Matsumura, Atsushi and Uda, Norihiko (2011) Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al]. In: Proceedings of the Asia-Pacific Conference On Library & Information Education & Practice 2011 (A-LIEP2011), 22-24 June 2011, Putrajaya, Malaysia.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Library Science. Information Science
spellingShingle Library Science. Information Science
Tsunekawa, Mao
Ono, Haruki
Konishi, Kyoji
Tsuji, Keita
Matsumura, Atsushi
Uda, Norihiko
Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
description The paper aims to propose cooperative reading, which is a reading support technique that allows library users to help each other. To achieve cooperative reading, it is necessary for a user to discover others with similar interests. Therefore, this paper also aims to develop and evaluate a recommendation function that recommends similar users using Nippon Decimal Classification (NDC) Tree Profiling. Is the user recommendation using NDC Tree Profiling effective in finding similar users? Which parameter of NDC Tree Profiling method is the most effective expression of users‘ interests? We developed the Shizuku2.0 system to support the creation of a library user community in which users help each other efficiently and mutually. We also designed and developed NDC Tree Profiling, which enables the creation of library user profiles, for the purposes of the user recommendation mechanism. To verify the effect of the user recommendation mechanism, we performed an experiment with 37 student users to calculate recall and precision. We found that the recommendation using NDC Tree Profiling is more effective than a random recommendation. However, we also recognized that there is room for improvement relative to a past information recommendation technique. Moreover, we found the second level of the NDC code could be the most effective expression of users‘ interests. In the discussion of the optimization of parameters, we propose a new way of implementing the NDC Tree, based on the second division of NDC, which is expected to improve creation of user profiles.
format Conference or Workshop Item
author Tsunekawa, Mao
Ono, Haruki
Konishi, Kyoji
Tsuji, Keita
Matsumura, Atsushi
Uda, Norihiko
author_facet Tsunekawa, Mao
Ono, Haruki
Konishi, Kyoji
Tsuji, Keita
Matsumura, Atsushi
Uda, Norihiko
author_sort Tsunekawa, Mao
title Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
title_short Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
title_full Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
title_fullStr Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
title_full_unstemmed Shizuku2.0: Cooperative reading support system / Mao Tsunekawa, Haruki Ono, Kyoji Konishi... [et.al].
title_sort shizuku2.0: cooperative reading support system / mao tsunekawa, haruki ono, kyoji konishi... [et.al].
publishDate 2011
url http://ir.uitm.edu.my/id/eprint/3563/
http://ir.uitm.edu.my/id/eprint/3563/1/K_MAO%20TSUNEKAWA%20A-LIEP%20IM%2011.pdf
first_indexed 2023-09-18T22:46:42Z
last_indexed 2023-09-18T22:46:42Z
_version_ 1777417273092341760

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