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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/94433


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/94433


    Title: 以Web2.0民眾分類法建置音樂推薦系統之研究
    A Music Recommendation System Based on the Web 2.0 Folksonomy Approach
    Authors: 鄭學侖
    Cheng, Allen
    Contributors: 楊建民
    鄭學侖
    Cheng,Allen
    Keywords: 數位音樂
    民眾分類法
    標籤系統
    推薦機制
    演算法
    Date: 2007
    Issue Date: 2016-05-06 16:37:17 (UTC+8)
    Abstract: 近年來，數位格式的音樂使得音樂市場活動逐漸由實體轉移到線上，消費者也開始會透過線上服務自己搜尋並取得在網路上大量的音樂。但是由於過量的音樂資訊，使得消費者在下載音樂試聽後，往往真正會去購買的比例是微乎極微，因此造成唱片業者對於音樂下載的觀點仍非常保守。因此，如何去提升在消費者下載之歌曲數量與真正消費之音樂的比例，將是線上音樂市場的一項發展重點。

    本研究希望透過近年在Web 2.0網站上常見之標籤系統，實作一個由群眾定義音樂分類的音樂資訊交流平台，並基於此標籤式的分類法，發展一套推薦系統，來提高消費者接觸到喜歡之音樂的比例，近一步解決上述之問題。在系統發展中，本研究提出一套用於推薦系統之演算法則，並在建置之實驗音樂資訊交流平台上驗證其可行性。最後，本研究亦針對未來研究議題方向，提出一些建議。
    Reference: 一、英文文獻
    1. P. Keagan (2004): Is the Music Store Over? Business 2.0 Online, March 2004

    2. Pew (Pew Internet and American Life Project) (2000): 13 million Americans “freeload” music on the Internet; 1 billion free music files now sit on Napster users’ computers. Internet Tracking Report, June 8, 2000, 2.

    3. R. D. Gopal, S. Bhattacharjee, G. L. Sanders (2006): Do Artists Benefit from Online Music Sharing? Journal of Business, 2006, vol. 79, no. 3.

    4. G. P. Premkumar (2003): Alternate Distribution Strategies for Digital Music. Communications of the ACM September 2003/Vol. 46, No. 9

    5. C. Anderson (2006): The Long Tail: Why The Future of Business Is Selling Less of More

    6. J. H. Lee, J. S. Downie (2004): Survey of Music Information Needs, Uses, and Seeking Behaviors: Preliminary Findings. Proceedings of the 5th International Conference on Music Information Retrieval.

    7. C. Marlow, M. Naaman, D. Boyd, M. Davis (2006): HT06, Tagging Paper, Taxonomy, Flickr, Academic Article, ToRead. Proceedings of the seventeenth conference on Hypertext and hypermedia

    8. L. Page, S. Brin, R. Motwani, T. Winograd (1998): The PageRank Citation Ranking: Bringing order to the web. Technical report, Stanford University.

    9. H. Zhu, M. D. Siegel, S. E. Madnick, P. Castells (2001): Information Aggregation– A Value-added E-Service. Proceedings of the International Conference on Technology, Policy, and Innovation: Critical Infrastructures, The Netherlands, June 26-29, 2001.

    二、線上資源

    1. T. O’Reilly (2005): What is Web 2.0? http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html

    2. T. O’Reilly (2006): Web 2.0 Compact Definition: Trying Again. http://radar.oreilly.com/archives/2006/12/web_20_compact.html

    3. B. Schauer (2005): Experience Attributes: Crucial DNA of Web 2.0 http://www.adaptivepath.com/publications/essays/archives/000547.php

    4. G. Smith (2004): Folksonomy: Social Classification. http://atomiq.org/archives/2004/08/folksonomy_social_classification.html

    5. R. Sinha (2005): Collaborative Filtering strikes back (this time with tags). http://www.rashmisinha.com/archives/05_10/tags collaborative filtering.html

    6. J. J. Garrett (2005): Ajax: A New Approach to Web Applications http://www.adaptivepath.com/publications/essays/archives/000385.php
    Description: 碩士
    國立政治大學
    資訊管理學系
    94356027
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0094356027
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

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