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  • 學位論文

在社交網路服務平台上利用朋友關係增進社群搜尋的效率

Improve Community Search with Friend in Social Network Service

指導教授 : 楊鎮華
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摘要


社交網路服務在網路上提供一種社交平台讓使用者能結交朋友或獲得知識。使用者可以透過朋友的合作與活動的參與達到學習的目的。在社交網路服務的平台下,使用者通常利用關鍵字搜尋的方法來搜尋朋友或是社群。使用者透過關鍵字的輸入讓系統了解使用者需要哪類型的資訊。但是關鍵字有一字多義的問題。這問題會使系統帶給使用者不需要的資訊,使得使用者的搜尋效率下降。我們透過使用者的人際關係去分析使用者下關鍵字的適當語意來改善搜尋效率。

關鍵字

社交網路服務 社群 搜尋 朋友網

並列摘要


Social network service is a social environment that people get friends and knowledge in the internet. In social network service like Orkut, People use keyword search to search friends and communities. People use keyword to let system know what kind of information they want, but words have homonym problem. It causes keyword based retrieval method may retrieval information that users not really want. It will decrease the search efficiency. I propose a strategy to improve keyword based retrieval method. I use user’s friends to understand what the keyword which user query mean. This strategy can improve system get proper information to users.

參考文獻


[6] Zhang J., Yan Z.,(2006) Semantic-driven Management and Search for Resources in Research Community, Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (SKG’06)
[11] Huang J.W., Fox M.S.(2005), Trust Judgment in Knowledge Provenance, Proceeding of the 16th International Workshop on Database and Expert Systems Applications (DEXA’05)
[18] Ochoa-Zezzatti A., Martínez J., Hernández A., Muñoz J.(2007) Discover Behavior of Turkish People in Orkut, 17th International Conference on Electronics, Communications and Computers (CONIELECOMP''07)
[23] Balabanovi M., (1997) A Adaptive Web Page Recommendation Service, Proceedings of Autonomous Agents, 1997, 378-385
[24] Mobasher B., Cooley R., Srivastava, (2000) Automatic Personalization Based on Web Usage Mining, Communication of the ACM, vol. 43, no. 8, 142-151

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