發(fā)布時(shí)間：2018-09-09 12:54

【摘要】：近年來，互聯(lián)網(wǎng)行業(yè)不斷取得實(shí)質(zhì)性進(jìn)展，各種新的網(wǎng)絡(luò)應(yīng)用隨著網(wǎng)絡(luò)用戶的膨脹正不斷涌現(xiàn)，有效地把握大眾偏好及用戶個(gè)性化需求，及時(shí)推出的相關(guān)網(wǎng)絡(luò)服務(wù)產(chǎn)品促進(jìn)了網(wǎng)絡(luò)服務(wù)載體的持續(xù)發(fā)展。隨著用戶群體的多元化及偏好多樣化，我國關(guān)系型虛擬社區(qū)也不斷朝向綜合性社區(qū)轉(zhuǎn)變。但與2010年之前相比，我國關(guān)系型社區(qū)正呈現(xiàn)出發(fā)展增速減緩及新增用戶飽和的跡象，這在互聯(lián)網(wǎng)用戶數(shù)量持續(xù)高速增長的背景下反映出關(guān)系型社區(qū)在會員需求方面重視不足或者對會員需求的把握存在偏差，最終反映出我國關(guān)系型社區(qū)在新時(shí)期的會員管理及服務(wù)創(chuàng)新方面的滯后而導(dǎo)致吸引力的趨弱，在一定程度上也歸因于關(guān)系型虛擬社區(qū)仍沒有形成清晰的商業(yè)模式，會員群體沒有給社區(qū)網(wǎng)站帶來盈利，，還沒有實(shí)現(xiàn)商業(yè)化，進(jìn)而發(fā)展動力不足。 在互聯(lián)網(wǎng)行業(yè)，關(guān)系型社區(qū)針對用戶價(jià)值及需求的重視相對欠缺，或運(yùn)營機(jī)制只是簡單的會員基于地域關(guān)系的擴(kuò)展，后來嵌入單一的網(wǎng)絡(luò)小游戲，而會員間、會員與其潛在偏好間、會員與相關(guān)服務(wù)載體間的數(shù)據(jù)因潛在語義的缺乏或埋沒而導(dǎo)致無法建立進(jìn)一步的關(guān)聯(lián)，也就無法進(jìn)行會員潛在語義信息的挖掘和深層次的服務(wù)產(chǎn)品開發(fā)。 本文通過分析關(guān)系型虛擬社區(qū)的運(yùn)營特征，抽取會員數(shù)據(jù)，分析會員及其偏好間的關(guān)系，并結(jié)合前人關(guān)于用戶管理及服務(wù)發(fā)現(xiàn)的成果，建立會員偏好主題下的語義會員管理系統(tǒng)模型，進(jìn)而為模型建立會員信息的RDF(S)數(shù)據(jù)模型。借助Jena對興趣本體和規(guī)則進(jìn)行解析，圍繞本研究模型，建立推理引擎，對會員語義模型進(jìn)行了系統(tǒng)仿真。仿真結(jié)果顯示，引入語義Web技術(shù)能夠解決會員信息表示缺乏語義的現(xiàn)狀，并能借助語義推理進(jìn)行涉及會員隱含信息的發(fā)現(xiàn)，有助于會員偏好的準(zhǔn)確把握及會員與相關(guān)服務(wù)的組合，推動相關(guān)服務(wù)項(xiàng)目的開發(fā)。在RDF(S)模型語義關(guān)聯(lián)機(jī)制的作用下，關(guān)系型社區(qū)能夠建立偏好主題下的會員群、服務(wù)集、興趣主題服務(wù)組合，最終使會員與其偏好相關(guān)的服務(wù)信息相匹配。本文最終目的是在互聯(lián)網(wǎng)行業(yè)內(nèi)引起人們對關(guān)系型虛擬社區(qū)用戶偏好及用戶價(jià)值的重視，使針對社會化網(wǎng)絡(luò)用戶這個(gè)龐大網(wǎng)絡(luò)群體的研究不僅限于社會學(xué)群體事件及社交的角度，而去發(fā)掘網(wǎng)絡(luò)用戶的巨大商業(yè)潛力，在增強(qiáng)社區(qū)吸引力和凝聚力方面為關(guān)系型虛擬社區(qū)進(jìn)行緊隨會員偏好的相關(guān)服務(wù)的開發(fā)提供借鑒，為新時(shí)期我國關(guān)系型虛擬社區(qū)的持續(xù)發(fā)展提供策略支持。
[Abstract]:In recent years, the Internet industry has made substantial progress, various new network applications are emerging with the expansion of network users, effectively grasp the public preferences and personalized needs of users. Timely launch of related network service products to promote the continuous development of network service carrier. With the diversity of user groups and preferences, the relationship-based virtual community in China is also changing to a comprehensive community. But compared with before 2010, our country's relational community is showing signs of slow growth and new user saturation. This reflects the lack of attention to the needs of the members of the relational community or the deviation in the grasp of the demand for the members in the context of the sustained and rapid growth of the number of Internet users. Finally, it reflects the lag of member management and service innovation in the new era, which leads to the weakening of attractiveness. To some extent, it is also attributed to the lack of a clear business model in the relational virtual community. The member group has not brought profit to the community website, has not realized the commercialization, then develops the motive power insufficiency. In the Internet industry, relational communities are less focused on user values and needs, or simply operate as members expand based on geographical relationships, then embed in a single network of Mini Game, and between members, Between the member and its potential preference, the data between the member and the related service carrier can not establish further association because of the lack of the latent semantics, so it is impossible to mine the potential semantic information of the member and develop the deep service product. This paper analyzes the operation characteristics of relational virtual community, extracts membership data, analyzes the relationship between members and their preferences, and combines the previous achievements on user management and service discovery. The semantic membership management system model under the membership preference topic is established, and then the RDF (S) data model of membership information is established for the model. With the help of Jena, the interest ontology and rules are analyzed, and the inference engine is built around the research model, and the member semantic model is simulated systematically. Simulation results show that the introduction of semantic Web technology can solve the current situation of the lack of semantic representation of member information, and can use semantic reasoning to discover the implied information of members. Help to accurately grasp the preferences of members and the combination of member and related services, promote the development of related services. Under the function of semantic association mechanism of RDF (S) model, relational community can establish membership group, service set, interest topic service composition under preference topic, and finally make members match their preference related service information. The ultimate purpose of this paper is to arouse people's attention to user preference and user value of relational virtual community in the Internet industry. So that the study of social network users, a huge network group, is not limited to sociological group events and social perspectives, but to explore the huge commercial potential of network users. In the aspect of enhancing community attractiveness and cohesion, it provides reference for relational virtual community to develop related services which follow the preference of members, and provides strategic support for the sustainable development of relational virtual community in China in the new period.
【學(xué)位授予單位】：江蘇科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP391.1;TP393.09

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