【摘要】：隨著經(jīng)濟(jì)的發(fā)展,我們逐漸步入了信息時(shí)代�？梢哉f(shuō)信息無(wú)時(shí)無(wú)刻不在影響著我們的生活,互聯(lián)網(wǎng)更是我們生活各個(gè)方面都需要的工具。然而它們?cè)诮o我們的生活注入新鮮和活力的同時(shí),也帶來(lái)了許多負(fù)面的東西。這就要求相關(guān)部門(mén)做好信息監(jiān)測(cè)工作,對(duì)網(wǎng)絡(luò)信息進(jìn)行嚴(yán)格篩選,這樣一來(lái),既保護(hù)了互聯(lián)網(wǎng)群眾的隱私,又凈化了網(wǎng)絡(luò)環(huán)境,讓人們能做到開(kāi)心上網(wǎng)。但如何才能做到這點(diǎn)呢?本文根據(jù)網(wǎng)絡(luò)監(jiān)測(cè)方法的原理,然后通過(guò)分析非法網(wǎng)絡(luò)信息的特征,結(jié)合移動(dòng)網(wǎng)絡(luò)中增量式信息的分類(lèi)和統(tǒng)計(jì)方法,提出一種基于文本內(nèi)容的混合過(guò)濾模型和算法。同時(shí),把信息過(guò)濾系統(tǒng)和信息推送技術(shù)聯(lián)合起來(lái),進(jìn)而提高信息過(guò)濾的效果以及相應(yīng)的價(jià)值。本文的主要技術(shù)路線是依據(jù)對(duì)移動(dòng)網(wǎng)絡(luò)中信息安全的分類(lèi)分析,結(jié)合對(duì)基于網(wǎng)絡(luò)信息文本內(nèi)容分析的混合過(guò)濾模型的研究,提出相應(yīng)的解決算法,從而實(shí)現(xiàn)預(yù)先設(shè)定的研究目的。對(duì)傳統(tǒng)的過(guò)濾模型布爾模型、概率推理模型和向量空間模型以及信息過(guò)濾方法做了分類(lèi)比較。在此基礎(chǔ)上開(kāi)發(fā)出一個(gè)以向量空間模型為基礎(chǔ)的移動(dòng)網(wǎng)絡(luò)內(nèi)容過(guò)濾系統(tǒng)模型。接著對(duì)此過(guò)濾系統(tǒng)從系統(tǒng)框架做了原理分析,隨后詳細(xì)介紹了中文分詞、特征提取與權(quán)值計(jì)算、用戶(hù)需求與閾值初始化、過(guò)濾匹配和用戶(hù)反饋模塊的原理和實(shí)現(xiàn)過(guò)程。最后生成空間向量模型以及完成過(guò)濾算法的設(shè)計(jì)。以查全率、查準(zhǔn)率和正確率為指標(biāo)通過(guò)實(shí)驗(yàn)證明本系統(tǒng)在文本過(guò)濾方面有很好的效果。最后簡(jiǎn)單介紹了移動(dòng)網(wǎng)絡(luò)的推送技術(shù),并對(duì)全文作了總結(jié)和展望。
[Abstract]:With the development of economy, we have gradually stepped into the information age. It can be said that information affects our lives all the time, and the Internet is a tool we need in all aspects of our lives. However, they bring a lot of negative things to our life while infusing them with freshness and vitality. This requires relevant departments to do a good job of information monitoring, the strict screening of network information, which not only protects the privacy of the Internet masses, but also purifies the network environment, so that people can be happy to surf the Internet. But how can this be done? According to the principle of network monitoring method and by analyzing the characteristics of illegal network information and combining the classification and statistics of incremental information in mobile network, a mixed filtering model and algorithm based on text content is proposed in this paper. At the same time, the information filtering system and information push technology are combined to improve the effect and value of information filtering. The main technical route of this paper is based on the classification and analysis of information security in mobile network, combined with the research of hybrid filtering model based on network information text content analysis, the corresponding solution algorithm is put forward. In order to achieve the predefined research purpose. The traditional Boolean model, probabilistic reasoning model, vector space model and information filtering method are classified and compared. On this basis, a mobile network content filtering system model based on vector space model is developed. Then the principle of the filtering system is analyzed from the system framework, and then the principle and implementation process of Chinese word segmentation, feature extraction and weight calculation, user requirement and threshold initialization, filter matching and user feedback module are introduced in detail. Finally, the space vector model is generated and the filtering algorithm is designed. With recall, precision and accuracy as indicators, the system is proved to be effective in text filtering through experiments. Finally, the push technology of mobile network is briefly introduced, and the full text is summarized and prospected.
【學(xué)位授予單位】：華東理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN915.08

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 林鴻飛,馬雅彬;基于聚類(lèi)的文本過(guò)濾模型[J];大連理工大學(xué)學(xué)報(bào);2002年02期

2 蘇云,馬慧芳;基于Web的信息過(guò)濾技術(shù)[J];情報(bào)雜志;2005年05期

3 蔡偉琨;聶銳;;低碳供應(yīng)鏈發(fā)展的制度安排——基于對(duì)政府和企業(yè)的博弈均衡分析[J];商業(yè)時(shí)代;2012年03期

4 馮登國(guó) ,張陽(yáng) ,張玉清;信息安全風(fēng)險(xiǎn)評(píng)估綜述[J];通信學(xué)報(bào);2004年07期

相關(guān)碩士學(xué)位論文 前1條

1 林冬雪;基于改進(jìn)向量空間模型的網(wǎng)絡(luò)信息檢索技術(shù)研究[D];重慶大學(xué);2005年

，

本文編號(hào)：2384298