學術產出-學位論文

題名 個人化部落格搜尋
Personalized search from blog data
作者 黃翊書
貢獻者 陳良弼
Chen, Arbee L.P.
黃翊書
關鍵詞 個人化搜尋
部落格搜尋
社群網路
personalized search
blog search
social network
日期 2009
上傳時間 9-四月-2010 13:24:13 (UTC+8)
摘要 隨著部落格的文章越來多,如何在大量的部落格文章中有效的幫助使用者找到需要的文章就變成一個非常重要的問題。因此,本研究結合部落格搜尋和個人化搜尋的技術,提出針對搜尋部落格文章的個人化部落格搜尋。其中,主要包含了兩種個人化部落格搜尋的方法。首先,延伸一般個人化搜尋的方式針對部落格的環境加以修正,提出了內文個人化部落格搜尋。透過分析和搜尋系統使用者相關的部落格文章內文,讓使用者可以更快的在部落格中找到需要的文章。接著,我們提出創新的社交個人化部落格搜尋,藉由分析使用者和其他部落客之間的社交行為,來達到個人化的目的。最後,在實驗中可以發現,個人化部落格搜尋明顯的提升了部落格搜尋的準確度和滿意度。
As the quantity of articles increased rapidly, how to help the users to find the blog articles effectively becomes an important issue. Therefore, this study combines the traditional blog search and personalized search techniques, and proposes a way to search blog by personal information. This study mainly contains two methods of personalized blog search. First, the general way of personalized search environment for blogs to be amended, the content based personalized blog search. By analyzing and searching the system-related blog article text of the users, this study can make users quickly figure out the articles they need. We propose a social based personalized blog search, by analyzing the social behavior between users and other bloggers, to achieve personal goals. Finally, the result of the experiments has shown that both ways obviously improved search accuracy and satisfaction.
參考文獻 [1] P. A. Chirita, C. S. Firan, and W. Nejdl. Personalized query expansion for the web. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 7–14, 2007.
[2] P. A. Chirita, W. Nejdl, R. Paiu, and C. Kohlsch¨utter. Using odp metadata to personalize search. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 178–185, 2005.
[3] Z. Dou, R. Song, and J.-R. Wen. A large-scale evaluation and analysis of personalized search strategies. In Proc. of ACM Conf. on World Wide Web, pages 581–590, 2007.
[4] J. Elsas, J. Arguello, J. Callan, and J. Carbonell. Retrieval and feedback models for blog feed search. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 347-354,2008.
[5] J. Teevan, S. T. Dumais, and E. Horvitz. Beyond the commons: Investigating the value of personalizing web search. In Proc. of the Workshop on New Technologies for Personalized Information Access, pages 84-92, 2005.
[6] K. J¨arvelin and J. Kek¨al¨ainen. Ir evaluation methods for retrieving highly relevant documents. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 41–48, 2000.
[7] J. Kim, T. Yoon, K. Kim, and J. Lee. Trackback-rank: an effective ranking algorithm for the blog search. In Proc. of the IEEE International Symposium on Intelligent Information Technology Application, pages 503-507,2008.
[8] F. Liu, C. Yu, and W. Meng. Personalized web search by mapping user queries to categories. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 558–565, 2002.
[9] C. Macdonald and L. Ounis. Key blog distillation: ranking aggregates. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 1043-1052, 2008.
[10] J. Pitkow, H. Sch¨utze, T. Cass, R. Cooley, D. Turnbull, A. Edmonds, E. Adar, and T. Breuel. Personalized search. Commun. ACM, 45(9):50–55, 2002.
[11] J. Seo, and W. B. Croft. Blog site search using resource selection. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 1053-1062, 2008.
[12] K. Sugiyama, K. Hatano, and M. Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In Proc. of ACM Conf. on World Wide Web, pages 675–684, 2004.
[13] D. Shen, J. Sun, Q. Yang, and Z. Chen. Latent friend mining from blog data. In Proc. of the IEEE Conf. on Data Mining, pages 552-561,2006.
[14] J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 449–456,2005..
[15] W. Zhang, C. Yu, and W. Meng. Opinion Retrieval from blogs. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 831-840, 2007.
描述 碩士
國立政治大學
資訊科學學系
96753018
98
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0096753018
資料類型 thesis
dc.contributor.advisor 陳良弼zh_TW
dc.contributor.advisor Chen, Arbee L.P.en_US
dc.contributor.author (作者) 黃翊書zh_TW
dc.creator (作者) 黃翊書zh_TW
dc.date (日期) 2009en_US
dc.date.accessioned 9-四月-2010 13:24:13 (UTC+8)-
dc.date.available 9-四月-2010 13:24:13 (UTC+8)-
dc.date.issued (上傳時間) 9-四月-2010 13:24:13 (UTC+8)-
dc.identifier (其他 識別碼) G0096753018en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/38544-
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) 96753018zh_TW
dc.description (描述) 98zh_TW
dc.description.abstract (摘要) 隨著部落格的文章越來多,如何在大量的部落格文章中有效的幫助使用者找到需要的文章就變成一個非常重要的問題。因此,本研究結合部落格搜尋和個人化搜尋的技術,提出針對搜尋部落格文章的個人化部落格搜尋。其中,主要包含了兩種個人化部落格搜尋的方法。首先,延伸一般個人化搜尋的方式針對部落格的環境加以修正,提出了內文個人化部落格搜尋。透過分析和搜尋系統使用者相關的部落格文章內文,讓使用者可以更快的在部落格中找到需要的文章。接著,我們提出創新的社交個人化部落格搜尋,藉由分析使用者和其他部落客之間的社交行為,來達到個人化的目的。最後,在實驗中可以發現,個人化部落格搜尋明顯的提升了部落格搜尋的準確度和滿意度。zh_TW
dc.description.abstract (摘要) As the quantity of articles increased rapidly, how to help the users to find the blog articles effectively becomes an important issue. Therefore, this study combines the traditional blog search and personalized search techniques, and proposes a way to search blog by personal information. This study mainly contains two methods of personalized blog search. First, the general way of personalized search environment for blogs to be amended, the content based personalized blog search. By analyzing and searching the system-related blog article text of the users, this study can make users quickly figure out the articles they need. We propose a social based personalized blog search, by analyzing the social behavior between users and other bloggers, to achieve personal goals. Finally, the result of the experiments has shown that both ways obviously improved search accuracy and satisfaction.en_US
dc.description.tableofcontents 第一章 導論及研究機..........................................1
第二章 相關研究.............................................3
2.1部落格搜尋的相關研究......................3
2.2個人化搜尋的相關研究......................5
第三章 方法描述和實作........................................7
3.1內文個人化部落格搜尋......................7
3.2社交個人化部落格搜尋................................17
3.3結合內文與社交個人化部落格搜尋......................19
第四章 實驗方法與驗證.......................................21
4.1實驗設計................................21
4.2實驗結果................................26
4.3實驗討論................................30
第五章 結論................................................34
參考文獻...................................................35
zh_TW
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0096753018en_US
dc.subject (關鍵詞) 個人化搜尋zh_TW
dc.subject (關鍵詞) 部落格搜尋zh_TW
dc.subject (關鍵詞) 社群網路zh_TW
dc.subject (關鍵詞) personalized searchen_US
dc.subject (關鍵詞) blog searchen_US
dc.subject (關鍵詞) social networken_US
dc.title (題名) 個人化部落格搜尋zh_TW
dc.title (題名) Personalized search from blog dataen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] P. A. Chirita, C. S. Firan, and W. Nejdl. Personalized query expansion for the web. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 7–14, 2007.zh_TW
dc.relation.reference (參考文獻) [2] P. A. Chirita, W. Nejdl, R. Paiu, and C. Kohlsch¨utter. Using odp metadata to personalize search. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 178–185, 2005.zh_TW
dc.relation.reference (參考文獻) [3] Z. Dou, R. Song, and J.-R. Wen. A large-scale evaluation and analysis of personalized search strategies. In Proc. of ACM Conf. on World Wide Web, pages 581–590, 2007.zh_TW
dc.relation.reference (參考文獻) [4] J. Elsas, J. Arguello, J. Callan, and J. Carbonell. Retrieval and feedback models for blog feed search. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 347-354,2008.zh_TW
dc.relation.reference (參考文獻) [5] J. Teevan, S. T. Dumais, and E. Horvitz. Beyond the commons: Investigating the value of personalizing web search. In Proc. of the Workshop on New Technologies for Personalized Information Access, pages 84-92, 2005.zh_TW
dc.relation.reference (參考文獻) [6] K. J¨arvelin and J. Kek¨al¨ainen. Ir evaluation methods for retrieving highly relevant documents. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 41–48, 2000.zh_TW
dc.relation.reference (參考文獻) [7] J. Kim, T. Yoon, K. Kim, and J. Lee. Trackback-rank: an effective ranking algorithm for the blog search. In Proc. of the IEEE International Symposium on Intelligent Information Technology Application, pages 503-507,2008.zh_TW
dc.relation.reference (參考文獻) [8] F. Liu, C. Yu, and W. Meng. Personalized web search by mapping user queries to categories. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 558–565, 2002.zh_TW
dc.relation.reference (參考文獻) [9] C. Macdonald and L. Ounis. Key blog distillation: ranking aggregates. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 1043-1052, 2008.zh_TW
dc.relation.reference (參考文獻) [10] J. Pitkow, H. Sch¨utze, T. Cass, R. Cooley, D. Turnbull, A. Edmonds, E. Adar, and T. Breuel. Personalized search. Commun. ACM, 45(9):50–55, 2002.zh_TW
dc.relation.reference (參考文獻) [11] J. Seo, and W. B. Croft. Blog site search using resource selection. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 1053-1062, 2008.zh_TW
dc.relation.reference (參考文獻) [12] K. Sugiyama, K. Hatano, and M. Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In Proc. of ACM Conf. on World Wide Web, pages 675–684, 2004.zh_TW
dc.relation.reference (參考文獻) [13] D. Shen, J. Sun, Q. Yang, and Z. Chen. Latent friend mining from blog data. In Proc. of the IEEE Conf. on Data Mining, pages 552-561,2006.zh_TW
dc.relation.reference (參考文獻) [14] J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of the ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 449–456,2005..zh_TW
dc.relation.reference (參考文獻) [15] W. Zhang, C. Yu, and W. Meng. Opinion Retrieval from blogs. In Proc. of the ACM Conf. on Information and Knowledge Management, pages 831-840, 2007.zh_TW