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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15889

Title: 分析部落格社會網路及內容以進行部落格推薦之研究
An Analysis of Blog-Based Social Network and Post Content for a Blog Recommender System
Authors: 楊婉秀
Contributors: 資訊管理學系
Keywords: 推薦系統;社會網路;電子商務;資訊萃取
Recommender System;Social Network;E-Commerce;Information Retrieval 表
Date: 2010
Issue Date: 2013-03-27T06:48:50Z
Publisher: 行政院國家科學委員會
Abstract: 過去幾年來,部落格的使用呈現爆發性的成長。部落格提供了一個更為開放的溝通管道,人們在部落格中發表文章,也閱讀、評論他人的文章,透過彼此間的互動,甚至建立新的人際連結,形成社群。以部落格為基礎的社會網路因而成為有力且具有附加價值的平台。然而,大量的部落格也造成了資訊負載的問題,增加了人們尋找有興趣資訊的難度。因此,本研究研議發展一個部落格推薦系統。在我們所發展的部落格推薦系統中,文章內容的相似性、社會網路的重要性及彼此之間的信賴關係,將拌演重要的角色。本研究也將藉由所發展的部落格推薦系統,探討部落格中資訊搜尋與主題移轉等相關活動。
Over the past few years, the web has experienced an exponential growth in the use of weblogs. Weblog offers a more open channel of communication, people in the blogosphere read, commentate, cite, socialize and even reach out beyond their social networks, make new connections, and form communities. A blog-based social network thus emerges as a powerful and potentially services-valued form of communication. The acceleration of webblogs, however, has increased the perceived information overload for bloggers attempting to find interested or relevant information. Therefore, in this research, we suggest develop a weblog recommender system for making bloggers or blog posts (articles) recommendation. We consider that content similarity, social authority and trust relationship play important roles to help prepare the ground for the development of personalized and trustworthy weblog recommender system. With the conceived weblog recommender system, we then want to explore information seeking and topic drift activities in the blogosphere.
Relation: 國科會計劃, 計畫編號: NSC99-2410-H018-014; 研究期間: 9908-10007
Appears in Collections:[資訊管理學系所] 國科會計畫

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