社會化推薦在圖書館知識服務(wù)中的應(yīng)用研究
發(fā)布時間：2018-09-12 11:31
【摘要】：在知識經(jīng)濟快速發(fā)展的當今時代，作為人類知識文明集散地的圖書館，要想順應(yīng)潮流，保持長足發(fā)展，就必須在其傳統(tǒng)知識服務(wù)的基礎(chǔ)上尋求更具競爭力的新方式，以滿足網(wǎng)絡(luò)環(huán)境下用戶日益增長的個性化知識需求。社會化推薦是在用戶關(guān)系網(wǎng)絡(luò)的基礎(chǔ)上，利用社會網(wǎng)絡(luò)或社交媒體，通過用戶的社會群體行為對知識內(nèi)容進行推薦或分享。它以信息推薦為基礎(chǔ)，嚴格融合以用戶為中心的理念，其初衷是采用一定的技術(shù)快速定位用戶所需，主動向用戶推薦其感興趣的信息或知識。作為web2.0時代的新寵，社會化推薦以其高度智能化、個性化與人性化的服務(wù)方式受到了多個領(lǐng)域用戶的青睞，如：電子商務(wù)、搜索引擎、e-learning系統(tǒng)等。將其引入圖書館知識服務(wù)中來研究也必然具有非常重要的學(xué)術(shù)價值和現(xiàn)實意義。 本文在知識經(jīng)濟和網(wǎng)絡(luò)環(huán)境的背景下，對國內(nèi)外圖書館知識服務(wù)和社會化推薦的研究現(xiàn)狀做了詳細的分析和闡述。在介紹圖書館知識服務(wù)的內(nèi)涵、特征和模式的同時，結(jié)合當下形勢，提出圖書館知識服務(wù)目前存在的幾點問題，以期可以通過社會化推薦的優(yōu)勢予以彌補和改進。另外，文章深入剖析了社會化推薦的內(nèi)涵、工作原理和應(yīng)用范疇，并且從用戶需求、經(jīng)濟、技術(shù)、操作和實踐五個方面對社會化推薦應(yīng)用于圖書館知識服務(wù)的可行性深刻論述，借助Web數(shù)據(jù)挖掘、 SNS、社會化標簽、推薦系統(tǒng)和異構(gòu)數(shù)據(jù)庫整合等相關(guān)技術(shù)，構(gòu)建了基于社會化推薦的圖書館知識服務(wù)平臺模型，并對模型做了系統(tǒng)化闡釋。從五個方面歸納了社會化推薦應(yīng)用于圖書館知識服務(wù)的重要價值，即知識服務(wù)主動性、知識資源體系結(jié)構(gòu)、隱性知識交流與共享、知識創(chuàng)新和終身學(xué)習(xí)。最后對選題的應(yīng)用前景進行了總結(jié)和展望。
[Abstract]:In the era of rapid development of knowledge economy, libraries, as the distributing center of human knowledge civilization, in order to keep pace with the trend and keep rapid development, must seek new and more competitive ways on the basis of their traditional knowledge services to meet the growing needs of users for personalized knowledge in the network environment. On the basis of user relationship network, recommend or share the knowledge content through the user's social group behavior through social network or social media. It is based on information recommendation and strictly integrates the user-centered concept. Its original intention is to use certain technology to quickly locate the user's needs and actively recommend the letter of interest to the user. As a new favorite of the Web 2.0 era, social recommendation is favored by users in many fields for its highly intelligent, personalized and humanized service mode, such as e-commerce, search engine, e-learning system, etc. It is also of great academic value and reality to introduce it into library knowledge service. Significance.
Under the background of knowledge economy and network environment, this paper makes a detailed analysis and elaboration on the research status quo of knowledge service and socialized recommendation in libraries at home and abroad. While introducing the connotation, characteristics and modes of library knowledge service, combining with the current situation, this paper puts forward some problems existing in library knowledge service in order to be able to do so. In addition, the paper deeply analyzes the connotation, working principle and application scope of social recommendation, and discusses the feasibility of applying social recommendation to library knowledge service from five aspects: user demand, economy, technology, operation and practice. With the help of Web data mining, SNS, Society This paper constructs a library knowledge service platform model based on Socialized recommendation and systematically explains the model. It summarizes the important value of socialized recommendation in library knowledge service from five aspects, that is, knowledge service initiative and knowledge resource system. Construction, tacit knowledge exchange and sharing, knowledge innovation and lifelong learning. Finally, the application prospects of topic selection are summarized and prospected.
【學(xué)位授予單位】：遼寧師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：G252
本文編號：2238871
[Abstract]:In the era of rapid development of knowledge economy, libraries, as the distributing center of human knowledge civilization, in order to keep pace with the trend and keep rapid development, must seek new and more competitive ways on the basis of their traditional knowledge services to meet the growing needs of users for personalized knowledge in the network environment. On the basis of user relationship network, recommend or share the knowledge content through the user's social group behavior through social network or social media. It is based on information recommendation and strictly integrates the user-centered concept. Its original intention is to use certain technology to quickly locate the user's needs and actively recommend the letter of interest to the user. As a new favorite of the Web 2.0 era, social recommendation is favored by users in many fields for its highly intelligent, personalized and humanized service mode, such as e-commerce, search engine, e-learning system, etc. It is also of great academic value and reality to introduce it into library knowledge service. Significance.
Under the background of knowledge economy and network environment, this paper makes a detailed analysis and elaboration on the research status quo of knowledge service and socialized recommendation in libraries at home and abroad. While introducing the connotation, characteristics and modes of library knowledge service, combining with the current situation, this paper puts forward some problems existing in library knowledge service in order to be able to do so. In addition, the paper deeply analyzes the connotation, working principle and application scope of social recommendation, and discusses the feasibility of applying social recommendation to library knowledge service from five aspects: user demand, economy, technology, operation and practice. With the help of Web data mining, SNS, Society This paper constructs a library knowledge service platform model based on Socialized recommendation and systematically explains the model. It summarizes the important value of socialized recommendation in library knowledge service from five aspects, that is, knowledge service initiative and knowledge resource system. Construction, tacit knowledge exchange and sharing, knowledge innovation and lifelong learning. Finally, the application prospects of topic selection are summarized and prospected.
【學(xué)位授予單位】：遼寧師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：G252
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，本文編號：2238871
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