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study:noll_m._g._yeung_a._2009_._telling_experts_from_spammers [2016/10/22 20:15]
127.0.0.1 external edit
study:noll_m._g._yeung_a._2009_._telling_experts_from_spammers [2018/08/26 18:22] (current)
Charles Chen [Telling experts from spammers: Expertise ranking in folksonomies / Noll & Yeung (2009)]
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 * 研究問題現況:​ 目前的排序只能根據數量與頻率,​ 無法區分專業性標記與大量灌水性標記行為 * 研究問題現況:​ 目前的排序只能根據數量與頻率,​ 無法區分專業性標記與大量灌水性標記行為
 * 研究目標:​ 設計新的演算法 SPEAR (SPamming-resistant Expertise Analysis and Ranking [防灌水專業性分析排序法]),​ 此方法區分專業家與灌水者,​ 進而改善搜尋的相關性。 * 研究目標:​ 設計新的演算法 SPEAR (SPamming-resistant Expertise Analysis and Ranking [防灌水專業性分析排序法]),​ 此方法區分專業家與灌水者,​ 進而改善搜尋的相關性。
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 * 設計原則(研究假定):​ 使用者在特定主題的專業性程度,​ 主要取決於: \\ We propose that the level of expertise of a user with respect to a particular topic is mainly determined by two factors: (1) there should be a relationship of mutual reinforcement between the expertise of a user and the quality of a resource; and (2) an expert should be one who tends to identify useful resources before other users discover them. * 設計原則(研究假定):​ 使用者在特定主題的專業性程度,​ 主要取決於: \\ We propose that the level of expertise of a user with respect to a particular topic is mainly determined by two factors: (1) there should be a relationship of mutual reinforcement between the expertise of a user and the quality of a resource; and (2) an expert should be one who tends to identify useful resources before other users discover them.
 ## (1)越專業的人與所分享資源的品質越好; ​ \\ **Mutual reinforcement of user expertise and document quality**: Expert users tend to have many high quality documents, and high quality documents are tagged by users of high expertise. ## (1)越專業的人與所分享資源的品質越好; ​ \\ **Mutual reinforcement of user expertise and document quality**: Expert users tend to have many high quality documents, and high quality documents are tagged by users of high expertise.
 ## (2)專家比其他人更早發現有用的資源 \\ **Discoverers vs. followers**:​ Expert users are discoverers – they tend to be the first to bookmark and tag high quality documents, thereby bringing them to the attention of the user community. Think: researchers in academia. ## (2)專家比其他人更早發現有用的資源 \\ **Discoverers vs. followers**:​ Expert users are discoverers – they tend to be the first to bookmark and tag high quality documents, thereby bringing them to the attention of the user community. Think: researchers in academia.
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 * (研究設計)演算法設計:​ graph-based algorithm (網絡關係為基礎的演算法) * (研究設計)演算法設計:​ graph-based algorithm (網絡關係為基礎的演算法)
 ** 根據在 IR 研究中, 以專家辨識作為改善檢索相關性的相關研究成果。這類似引文分析的作法。 ** 根據在 IR 研究中, 以專家辨識作為改善檢索相關性的相關研究成果。這類似引文分析的作法。
 * (研究檢驗分析) : We carry out experiments on both simulated and real-world data sets obtained from Delicious, and show that SPEAR is able to detect the difference between different types of experts, and is more resistant to spammers than other methods. * (研究檢驗分析) : We carry out experiments on both simulated and real-world data sets obtained from Delicious, and show that SPEAR is able to detect the difference between different types of experts, and is more resistant to spammers than other methods.
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 * SPEAR – SPamming-resistant Expertise Analysis and Ranking [防灌水專業性分析排序法] * SPEAR – SPamming-resistant Expertise Analysis and Ranking [防灌水專業性分析排序法]
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 *** 品質優良的頁面是權威 Pages are authorities – provide relevant information *** 品質優良的頁面是權威 Pages are authorities – provide relevant information
 ** 不同之處:​ 只有使用者(專家)可以指向文件(權威來源),而不能反轉這種關係。 ** 不同之處:​ 只有使用者(專家)可以指向文件(權威來源),而不能反轉這種關係。
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 * 演算法 * 演算法
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 * 實驗設計 Experimental * 實驗設計 Experimental
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 *** HIT  *** HIT 
 *** frequency count ranking algorithm, FREQ, *** frequency count ranking algorithm, FREQ,
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 * 研究結果 * 研究結果