Utilizing  Wisdom of Crowds  for Handling Multimedia Contents

Koichiro ISHIKAWA; Yoshihisa SHINOZAWA; Akito SAKURAI

doi:10.1093/ietisy/e90-d.10.1657

Utilizing "Wisdom of Crowds" for Handling Multimedia Contents

Koichiro ISHIKAWA, Yoshihisa SHINOZAWA, Akito SAKURAI

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We propose in this paper a SOM-like algorithm that accepts online, as inputs, starts and ends of viewing of a multimedia content by many users; a one-dimensional map is then self-organized, providing an approximation of density distribution showing how many users see a part of a multimedia content. In this way "viewing behavior of crowds" information is accumulated as experience accumulates, summarized into one SOM-like network as knowledge is extracted, and is presented to new users as the knowledge is transmitted. Accumulation of multimedia contents on the Internet increases the need for time-efficient viewing of the contents and the possibility of compiling information on many users' viewing experiences. In the circumstances, a system has been proposed that presents, in the Internet environment, a kind of summary of viewing records of many viewers of a multimedia content. The summary is expected to show that some part is seen by many users but some part is rarely seen. The function is similar to websites utilizing "wisdom of crowds" and is facilitated by our proposed algorithm.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.10 pp.1657-1662

Publication Date: 2007/10/01

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Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.10.1657

Type of Manuscript: Special Section PAPER (Special Section on Knowledge, Information and Creativity Support System)

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Koichiro ISHIKAWA, Yoshihisa SHINOZAWA, Akito SAKURAI, "Utilizing "Wisdom of Crowds" for Handling Multimedia Contents" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 10, pp. 1657-1662, October 2007, doi: 10.1093/ietisy/e90-d.10.1657.
Abstract: We propose in this paper a SOM-like algorithm that accepts online, as inputs, starts and ends of viewing of a multimedia content by many users; a one-dimensional map is then self-organized, providing an approximation of density distribution showing how many users see a part of a multimedia content. In this way "viewing behavior of crowds" information is accumulated as experience accumulates, summarized into one SOM-like network as knowledge is extracted, and is presented to new users as the knowledge is transmitted. Accumulation of multimedia contents on the Internet increases the need for time-efficient viewing of the contents and the possibility of compiling information on many users' viewing experiences. In the circumstances, a system has been proposed that presents, in the Internet environment, a kind of summary of viewing records of many viewers of a multimedia content. The summary is expected to show that some part is seen by many users but some part is rarely seen. The function is similar to websites utilizing "wisdom of crowds" and is facilitated by our proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.10.1657/_p

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@ARTICLE{e90-d_10_1657,
author={Koichiro ISHIKAWA, Yoshihisa SHINOZAWA, Akito SAKURAI, },
journal={IEICE TRANSACTIONS on Information},
title={Utilizing "Wisdom of Crowds" for Handling Multimedia Contents},
year={2007},
volume={E90-D},
number={10},
pages={1657-1662},
abstract={We propose in this paper a SOM-like algorithm that accepts online, as inputs, starts and ends of viewing of a multimedia content by many users; a one-dimensional map is then self-organized, providing an approximation of density distribution showing how many users see a part of a multimedia content. In this way "viewing behavior of crowds" information is accumulated as experience accumulates, summarized into one SOM-like network as knowledge is extracted, and is presented to new users as the knowledge is transmitted. Accumulation of multimedia contents on the Internet increases the need for time-efficient viewing of the contents and the possibility of compiling information on many users' viewing experiences. In the circumstances, a system has been proposed that presents, in the Internet environment, a kind of summary of viewing records of many viewers of a multimedia content. The summary is expected to show that some part is seen by many users but some part is rarely seen. The function is similar to websites utilizing "wisdom of crowds" and is facilitated by our proposed algorithm.},
keywords={},
doi={10.1093/ietisy/e90-d.10.1657},
ISSN={1745-1361},
month={October},}

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TY - JOUR
TI - Utilizing "Wisdom of Crowds" for Handling Multimedia Contents
T2 - IEICE TRANSACTIONS on Information
SP - 1657
EP - 1662
AU - Koichiro ISHIKAWA
AU - Yoshihisa SHINOZAWA
AU - Akito SAKURAI
PY - 2007
DO - 10.1093/ietisy/e90-d.10.1657
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2007
AB - We propose in this paper a SOM-like algorithm that accepts online, as inputs, starts and ends of viewing of a multimedia content by many users; a one-dimensional map is then self-organized, providing an approximation of density distribution showing how many users see a part of a multimedia content. In this way "viewing behavior of crowds" information is accumulated as experience accumulates, summarized into one SOM-like network as knowledge is extracted, and is presented to new users as the knowledge is transmitted. Accumulation of multimedia contents on the Internet increases the need for time-efficient viewing of the contents and the possibility of compiling information on many users' viewing experiences. In the circumstances, a system has been proposed that presents, in the Internet environment, a kind of summary of viewing records of many viewers of a multimedia content. The summary is expected to show that some part is seen by many users but some part is rarely seen. The function is similar to websites utilizing "wisdom of crowds" and is facilitated by our proposed algorithm.
ER -