本文選題：網(wǎng)絡(luò)行為特征　切入點：興趣感知　出處：《華南理工大學(xué)》2013年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展，互聯(lián)網(wǎng)資源成為人們獲取資源的重要手段。為了降低搜索成本，先后出現(xiàn)了分類網(wǎng)站、搜索引擎等提高資源搜索效率的技術(shù)，這些技術(shù)在一定程度上緩解了互聯(lián)網(wǎng)海量信息與用戶獲取互聯(lián)網(wǎng)信息手段單一、簡單的矛盾，但由于互聯(lián)網(wǎng)資源以指數(shù)級速度增長，用戶從海量信息中獲取自己所需的仍需花費較大的代價。基于用戶興趣感知的互聯(lián)網(wǎng)資源個性化推送技術(shù)和搜索技術(shù)是互聯(lián)網(wǎng)資源有效獲取的新方法，而如何通過對用戶行為的分析挖掘用戶興趣，則是實現(xiàn)互聯(lián)網(wǎng)資源個性化推送和搜索的關(guān)鍵。 本文提出了一種基于網(wǎng)絡(luò)行為特征模型的Web個性化服務(wù)系統(tǒng)，該系統(tǒng)以網(wǎng)絡(luò)行為特征模型為基礎(chǔ)，根據(jù)用戶興趣有針對性的推送給用戶不同的網(wǎng)頁。 本文首先對用戶行為進行收集、分析，對現(xiàn)有一些網(wǎng)絡(luò)行為模型進行研究，針對它們的不足，提出首先對用戶網(wǎng)絡(luò)行為特征進行分類，然后根據(jù)不同類型的用戶行為建立其網(wǎng)絡(luò)行為特征模型，，以此預(yù)測用戶單頁面興趣度，并對模型進行檢驗，說明本文所選模型的合理性。文章將該網(wǎng)絡(luò)行為特征模型應(yīng)用到個性化服務(wù)當(dāng)中，根據(jù)網(wǎng)絡(luò)行為特征模型得到用戶感興趣的文檔集，通過對該文檔集進行挖掘形成樹狀結(jié)構(gòu)的用戶興趣集。最后本文在Android平臺上設(shè)計了一個基于網(wǎng)絡(luò)行為特征模型的個性化服務(wù)應(yīng)用系統(tǒng)，該系統(tǒng)結(jié)合用戶興趣集與用戶地理位置，提供個性化服務(wù)。 本論文提出的個性化服務(wù)系統(tǒng)可為以后Web個性化服務(wù)提供一定的參考，并且可以應(yīng)用于如電子商務(wù)、個性化瀏覽器等其他領(lǐng)域。
[Abstract]:With the development of Internet technology, Internet resources become an important means for people to obtain resources.In order to reduce the search cost, several technologies such as classified websites and search engines have emerged to improve the efficiency of resource search. To some extent, these technologies have alleviated the contradiction between the huge amount of information on the Internet and the simple and simple means for users to obtain Internet information.However, due to the exponential growth of Internet resources, it is still costly for users to obtain what they need from mass information.Personalized push and search technology of Internet resources based on user interest perception is a new method to obtain Internet resources effectively.It is the key to realize personalized push and search of Internet resources.In this paper, a Web personalized service system based on network behavior feature model is proposed. The system is based on the network behavior feature model and can be pushed to different web pages according to users' interests.In this paper, the user behavior is collected, analyzed, and some existing network behavior models are studied. In view of their shortcomings, this paper proposes a classification of user network behavior characteristics.Then, according to different types of user behavior, the network behavior characteristic model is established to predict the single page interest of users, and the model is tested to illustrate the rationality of the model selected in this paper.In this paper, the network behavior feature model is applied to the personalized service. According to the network behavior feature model, the document set of user interest is obtained, and the user interest set with tree structure is formed by mining the document set.Finally, this paper designs a personalized service application system based on network behavior feature model on Android platform, which combines user interest set and user geographical location to provide personalized service.The personalized service system proposed in this paper can provide some reference for the future Web personalized service, and can be applied to other fields such as e-commerce, personalized browser and so on.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP391.3

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