【摘要】：現(xiàn)代通信技術(shù)、Internet技術(shù)和多媒體技術(shù)的快速發(fā)展,在使用戶能夠快捷獲取形式多樣信息資源的同時(shí),也不可避免的帶來(lái)了“信息過(guò)載”( Information Overload)的問(wèn)題。Internet媒體的使用或傳遞者,通過(guò)他們對(duì)資源的偏好、社會(huì)關(guān)系、任務(wù)協(xié)作等關(guān)聯(lián)起來(lái),形成了一種新型的推薦關(guān)系網(wǎng)絡(luò)。為這種推薦關(guān)系網(wǎng)絡(luò)提供感興趣的信息,是減少信息過(guò)載和實(shí)現(xiàn)應(yīng)用系統(tǒng)個(gè)性化的主要途徑。實(shí)現(xiàn)上述推薦關(guān)系網(wǎng)絡(luò)的基礎(chǔ)是個(gè)性化推薦技術(shù),它的研究涉及信息檢索、數(shù)據(jù)挖掘、人工智能、社會(huì)學(xué)等眾多領(lǐng)域。 “電子警務(wù)”是改變傳統(tǒng)警務(wù)方式、提高警務(wù)工作水平的重要措施。電子警務(wù)的個(gè)性化是指以網(wǎng)絡(luò)方式進(jìn)行的警務(wù)活動(dòng)個(gè)性化,就是公安部門(mén)如何利用電子警務(wù)平臺(tái),對(duì)警務(wù)活動(dòng)進(jìn)行再造,通過(guò)開(kāi)放式網(wǎng)絡(luò)環(huán)境向警員提供個(gè)性化的辦公流程和服務(wù)。在電子警務(wù)的個(gè)性化實(shí)現(xiàn)中,個(gè)性化推薦技術(shù)是基本的關(guān)鍵技術(shù)之一。本論文圍繞開(kāi)放式環(huán)境下的個(gè)性化推薦技術(shù)、模型及算法展開(kāi)調(diào)研,對(duì)個(gè)性化推薦技術(shù)、特別是現(xiàn)有推薦系統(tǒng)的社區(qū)結(jié)構(gòu)發(fā)現(xiàn)技術(shù)進(jìn)行了系統(tǒng)的分析和比較。針對(duì)用戶行為的刻畫(huà)與興趣獲取、相似用戶查找、個(gè)性化推薦策略、和社區(qū)自組織等問(wèn)題,進(jìn)行了分析和研究。在此基礎(chǔ)上,基于協(xié)同過(guò)濾技術(shù),提出了一種基于多級(jí)智能代理的自組織互惠社區(qū)構(gòu)建及推薦算法,來(lái)完成動(dòng)態(tài)個(gè)性化推薦,并對(duì)該算法的有效性和魯棒性進(jìn)行了驗(yàn)證。 最后,結(jié)合公安數(shù)據(jù)種類繁多,各警種對(duì)公安數(shù)據(jù)的興趣參差不齊的特點(diǎn),將上述個(gè)性化動(dòng)態(tài)推薦技術(shù)的研究結(jié)果應(yīng)用于電子警務(wù)領(lǐng)域,以減少警務(wù)人員信息過(guò)載的問(wèn)題。并且針對(duì)某市電子警務(wù)現(xiàn)狀,開(kāi)發(fā)了基于學(xué)習(xí)社區(qū)監(jiān)控和動(dòng)態(tài)個(gè)性化數(shù)據(jù)資源推薦的電子警務(wù)查詢系統(tǒng),實(shí)現(xiàn)相同興趣警員的自組織,并提供資源推薦、資源共享、協(xié)同交流等功能,幫助警員有效共享資源和經(jīng)驗(yàn)。
[Abstract]:With the rapid development of modern communication technology, Internet technology and multimedia technology, users can quickly obtain various forms of information resources. It is also inevitable to bring about the problem of "information overload" (Information Overload). Internet media users or communicators have formed a new type of recommendation relationship network through their preference for resources, social relations, task cooperation and so on. Providing interested information for this kind of recommendation relation network is the main way to reduce information overload and realize the individualization of application system. The implementation of the recommendation relationship network is based on personalized recommendation technology, which involves many fields, such as information retrieval, data mining, artificial intelligence, sociology and so on. Electronic policing is an important measure to change the traditional policing mode and improve the police work level. The individualization of electronic policing refers to the individualization of police activities carried out by the network, that is, how the public security departments make use of the electronic policing platform to reconstruct the police activities. Through the open network environment to provide police officers with personalized office processes and services. In the personalized implementation of electronic policing, personalized recommendation technology is one of the basic key technologies. In this paper, the personalized recommendation technology, model and algorithm in open environment are investigated, and the personalized recommendation technology, especially the community structure discovery technology of the existing recommendation system, is systematically analyzed and compared. This paper analyzes and studies the characterization and interest acquisition of user behavior, similar user search, personalized recommendation strategy, and community self-organization. On this basis, based on collaborative filtering technology, a self-organizing mutually beneficial community construction and recommendation algorithm based on multi-level intelligent agent is proposed to complete the dynamic personalized recommendation, and the effectiveness and robustness of the algorithm are verified. Finally, combined with the characteristics of various kinds of public security data and uneven interest in public security data, the research results of the above personalized dynamic recommendation technology are applied to the field of electronic policing in order to reduce the problem of police personnel information overload. According to the present situation of electronic policing in a city, an electronic policing query system based on learning community monitoring and dynamic personalized data resource recommendation is developed to realize the self-organization of police officers of the same interest, and to provide resource recommendation and resource sharing. Collaborative communication and other functions to help police officers effectively share resources and experience.
【學(xué)位授予單位】：解放軍信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2008
【分類號(hào)】：D631.1

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