基于FCA的Folksonomy用戶興趣研究述評(píng)
發(fā)布時(shí)間：2019-01-10 07:56
【摘要】：傳統(tǒng)的Folksonomy用戶興趣研究在相似性計(jì)算上更多考慮的是整體相似,不能突出用戶之間的差異,同時(shí)還存在興趣結(jié)構(gòu)不符合用戶自身認(rèn)知等問題。形式概念分析從用戶自身的認(rèn)知結(jié)構(gòu)出發(fā),不僅能表示標(biāo)簽間的語義信息,還能形式化標(biāo)簽的結(jié)構(gòu)關(guān)系,為用戶興趣的表征和挖掘提供了新的思路�；贔CA的用戶興趣研究較少,主要集中于單用戶和用戶群興趣識(shí)別兩個(gè)視角。本文在分析用戶興趣識(shí)別傳統(tǒng)方法及局限性基礎(chǔ)上,進(jìn)一步探討了基于FCA進(jìn)行Folksonomy用戶興趣識(shí)別的基礎(chǔ)以及現(xiàn)有的相關(guān)研究。
[Abstract]:In the traditional Folksonomy user interest study, the similarity calculation is more concerned with the global similarity, which can not highlight the differences between users, and there are also some problems such as the structure of interest does not accord with the user's own cognition and so on. Based on the cognitive structure of users, formal conceptual analysis can not only represent the semantic information among tags, but also formalize the structural relationships of tags, which provides a new way of thinking for the representation and mining of users' interests. There are few researches on user interest based on FCA, which mainly focus on single user and user group interest recognition. Based on the analysis of the traditional methods and limitations of user interest recognition, this paper further discusses the basis of Folksonomy user interest recognition based on FCA and the existing related research.
【作者單位】： 成都中醫(yī)藥大學(xué)圖書館;重慶工程職業(yè)技術(shù)學(xué)院圖書館;
【基金】：成都中醫(yī)藥大學(xué)科技基金“基于形式概念分析的社會(huì)化標(biāo)注系統(tǒng)用戶研究”(項(xiàng)目編號(hào):RWQN1625)
【分類號(hào)】：TP391.1
[Abstract]:In the traditional Folksonomy user interest study, the similarity calculation is more concerned with the global similarity, which can not highlight the differences between users, and there are also some problems such as the structure of interest does not accord with the user's own cognition and so on. Based on the cognitive structure of users, formal conceptual analysis can not only represent the semantic information among tags, but also formalize the structural relationships of tags, which provides a new way of thinking for the representation and mining of users' interests. There are few researches on user interest based on FCA, which mainly focus on single user and user group interest recognition. Based on the analysis of the traditional methods and limitations of user interest recognition, this paper further discusses the basis of Folksonomy user interest recognition based on FCA and the existing related research.
【作者單位】： 成都中醫(yī)藥大學(xué)圖書館;重慶工程職業(yè)技術(shù)學(xué)院圖書館;
【基金】：成都中醫(yī)藥大學(xué)科技基金“基于形式概念分析的社會(huì)化標(biāo)注系統(tǒng)用戶研究”(項(xiàng)目編號(hào):RWQN1625)
【分類號(hào)】：TP391.1
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