| dc.contributor.advisor | 胡毓忠 | zh_TW |
| dc.contributor.advisor | Hu,Yuh-Jong | en_US |
| dc.contributor.author (Authors) | 王奕淳 | zh_TW |
| dc.contributor.author (Authors) | Wang,Yi-Chun | en_US |
| dc.creator (作者) | 王奕淳 | zh_TW |
| dc.creator (作者) | Wang,Yi-Chun | en_US |
| dc.date (日期) | 2005 | en_US |
| dc.date.accessioned | 17-Sep-2009 14:08:39 (UTC+8) | - |
| dc.date.available | 17-Sep-2009 14:08:39 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Sep-2009 14:08:39 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0927530261 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/32726 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學學系 | zh_TW |
| dc.description (描述) | 92753026 | zh_TW |
| dc.description (描述) | 94 | zh_TW |
| dc.description.abstract (摘要) | 推薦系統目的在於收集大眾對於資源的評價，經過推薦機制的整理，呈現給符合偏好的使用者，但是Supernode架構與傳統主從架構的不同，增加推薦系統收集、統計推薦指標的困難。在本篇論文中，將利用RDF(S)建置與Supernode、Peer、MP3相關的本體論，同時，依據Supernode與Peer在推薦系統中所扮演的功能與角色的不同，將不同的結構藍圖分別放置在Supernode與Peer之中，並且藉由Supernode與Peer中所描述的資源、屬性以及資源和資源之間的關係來解決在Supernode架構中推薦指標的收集、統計與更新等問題，以及降低推薦系統中"Cold Start"與"Spamming"這兩個問題所產生的影響。 | zh_TW |
| dc.description.abstract (摘要) | The purpose of recommendation system is to collect public opinions and provide synthetic recommended result for users. Using our proposed recommended mechanism, the recommendation system presents personal music recommended list for each user in peer node to match his preference. Because the complexity difference of network structure, we found that the rating collection and computation process will be more complex in supernode P2P network than in client-server WWW network. In this thesis, firstly we use RDF(S) to construct associated ontology schema for supernode, peer node, and MP3 music. Then, we put respective ontology schema in the suprenode and peer node based on their roles and functions within the recommendation system. The resources and attributes relationships between supernode and peer nodes provide the capacity to solve the rating collection, analysis, and updating problems. We also propose possible solutions for reducing the side effects of cold start and spamming problems in the recommendation system. | en_US |
| dc.description.tableofcontents | 第一章 導論 11.1研究背景 11.2研究目的 41.3已完成項目 51.4各章節闡述 5第二章 相關研究 62.1推薦系統 62.2推薦系統與對等式網路 72.3語意網與推薦系統 82.4語意網與對等式網路 82.5語意網結合對等式網路的應用系統 9第三章 推薦系統本體論設計 113.1 主從架構下的推薦系統 113.2 Supernode架構中的推薦系統 123.3推薦系統本體論 163.3.1本體論設計 163.3.2本體論存放 21第四章 推薦機制的設計 244.1 Peer歸屬曲風的界定 244.2推薦指標的收集 254.3推薦指標的設計 264.3.1 Peer評分比重計算 264.3.2時間遞移變數 274.3.3推薦指標的計算 284.3.4 推薦指標的統計時機 314.3.5 Cold Start Problem 324.3.6 Spamming Problem 334.4推薦清單的個人化 344.5 MP3動向的掌握 35第五章 系統架構 365.1系統架構 365.2 推薦系統流程 375.3 Jena 385.4 SPARQL語法 405.4.1 SPARQL Use Case-獲得推薦清單 405.4.2 SPARQL Use Case-查詢特定歌曲 425.4.3 SPARQL Use Case-給予推薦指標 43第六章 系統實作與分析 476.1實驗場景 476.2實驗系統正確性 486.2.1推薦清單的正確性 486.2.2查詢歌曲的正確性 506.2.3給予推薦指標的正確性 526.3定量分析 54第七章 結論與未來展望 617.1結論 617.2未來展望 62參考文獻 64附錄一 67附錄二 67附錄三 68 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0927530261 | en_US |
| dc.subject (關鍵詞) | 語意網 | zh_TW |
| dc.subject (關鍵詞) | 本體論 | zh_TW |
| dc.subject (關鍵詞) | 對等式網路 | zh_TW |
| dc.subject (關鍵詞) | 推薦系統 | zh_TW |
| dc.subject (關鍵詞) | Semantic Web | en_US |
| dc.subject (關鍵詞) | Ontology | en_US |
| dc.subject (關鍵詞) | Peer-to-Peer Networks | en_US |
| dc.subject (關鍵詞) | Recommendation System | en_US |
| dc.title (題名) | 在對等式網路上以RDF(S)為基礎的MP3音樂推薦系統 | zh_TW |
| dc.title (題名) | An RDF(S)-Based Recommendation System for MP3 Music on the Peer-to-Peer Network | en_US |
| dc.type (資料類型) | thesis | en |
| dc.relation.reference (參考文獻) | 【1】 ARQ, http://jena.sourceforge.net/ARQ/ | zh_TW |
| dc.relation.reference (參考文獻) | 【2】 Avesani, P. and P. Massa. (2002). Recommendation and Personalization From Item to Collection, from Client-Server to Peer-to-peer New Frontiers for Case-based Personalization. 6th European Conference on Case Based Reasoning ECCBR. | zh_TW |
| dc.relation.reference (參考文獻) | 【3】 Broekstra, J., et al., A Metadata Model for Semantics-Based Peer-to-Peer Systems, http://www.cs.vu.nl/~frankh/postscript/P2P@WWW03.pdf. | zh_TW |
| dc.relation.reference (參考文獻) | 【4】 Cai, M., and M. Frank. ( 2004). RDFPeers: A Scalable Distributed RDF Repository based on A Structured PeertoPeer Network, WWW 2004. | zh_TW |
| dc.relation.reference (參考文獻) | 【5】 Chen, H. C. and A. L. P. Chen. (2001). A music recommendation system based on music data grouping and user interests. the tenth international conference on Information and knowledge management. | zh_TW |
| dc.relation.reference (參考文獻) | 【6】 Fang-Fei Kuo and Man-Kwan Shan. (2002). A Personalized Music Filtering System Based on Melody Style Classification. IEEE International Conference on Data Mining (ICDM’02). | zh_TW |
| dc.relation.reference (參考文獻) | 【7】 Georgios Pitsilis and Lindsay Marshall. (2005). Trust as a key to improving Recommendation System. Trust Management: Third International Conference, iTrust 2005. | zh_TW |
| dc.relation.reference (參考文獻) | 【8】 Jena, http://jena.sourceforge.net/ | zh_TW |
| dc.relation.reference (參考文獻) | 【9】 Khan, L. and D. McLeod. (2000) Audio Structuring and Personalized Retrieval Using Ontologies. IEEE Advances in Digital Libraries, Library of Congress. | zh_TW |
| dc.relation.reference (參考文獻) | 【10】 Mario, S., et al. (2002). HyperCuP - Hypercubes, Ontologies and Efficient Search on Peer-to-peer Networks. http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2002/hypercup-ap2pc02.pdf. | zh_TW |
| dc.relation.reference (參考文獻) | 【11】 Music Recommendation System for iTunes, http://music.cs.uiuc.edu/ | zh_TW |
| dc.relation.reference (參考文獻) | 【12】 Nejdl, W. , et al. (2002). Edutella: A P2P Networking Infrastructure Based on RDF. WWW 2002. | zh_TW |
| dc.relation.reference (參考文獻) | 【13】 Nejdl, W., et al. (2003). Super-Peer -Based Routing and Clustering Strategies for RDF-Based Peer-to-Peer Networks. Web Semantics 2003. | zh_TW |
| dc.relation.reference (參考文獻) | 【14】 Parkhomenko, O., Y. Lee, and E. K. Park. (2003). Ontology-Driven Peer Profiling in Peer-to-Peer Enabled Semantic Web. CIKM’03. | zh_TW |
| dc.relation.reference (參考文獻) | 【15】 Peter Haase1, et al. (2004). Bibster – A Semantics-Based Bibliographic Peer-to-Peer System. ISWC 2004. | zh_TW |
| dc.relation.reference (參考文獻) | 【16】 Planet-Lab, http://www.planet-lab.org/ | zh_TW |
| dc.relation.reference (參考文獻) | 【17】 Pouwelse, J., et al. (2005). P2Pbased PVR Recommendation using Friends, Taste Buddies and Superpeers. IUI’05. | zh_TW |
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