本文選題：Web服務(wù)推薦 + 協(xié)同過濾��； 參考：《計(jì)算機(jī)工程與科學(xué)》2013年09期

【摘要】：隨著Web服務(wù)的廣泛使用和互聯(lián)網(wǎng)上服務(wù)數(shù)量的增加,如何向用戶提供最佳的服務(wù)選擇列表成為了新的挑戰(zhàn)。Web服務(wù)個(gè)性化推薦實(shí)現(xiàn)了由被動(dòng)接受用戶請(qǐng)求向主動(dòng)感知用戶需求的轉(zhuǎn)變。個(gè)性化的Web服務(wù)推薦方法已經(jīng)成為Web服務(wù)發(fā)現(xiàn)和選擇的有效輔助手段。Web服務(wù)的個(gè)性化推薦技術(shù)也成為了近年來服務(wù)計(jì)算領(lǐng)域的研究熱點(diǎn)。對(duì)當(dāng)前Web服務(wù)個(gè)性化推薦的文獻(xiàn)進(jìn)行了歸類分析,總結(jié)了當(dāng)前Web服務(wù)個(gè)性化推薦的技術(shù)現(xiàn)狀、研究方法和實(shí)驗(yàn)的數(shù)據(jù)集,列出了未來Web服務(wù)個(gè)性化推薦研究熱點(diǎn)和挑戰(zhàn)。
[Abstract]:With the extensive use of Web services and the increase in the number of services on the Internet, how to provide the best service selection list to users has become a new challenge for the personalized recommendation of.Web services to change from passive acceptance to user requests to active user requirements. Personalized Web service recommendation method has become a Web service discovery and The personalized recommendation technology of.Web services has also become a hot topic in the field of service computing in recent years. The literature of personalized recommendation of Web services is classified and analyzed. The current technology status, research methods and experimental data sets of personalized recommendation of Web services are summarized, and the personality of Web service is listed in the future. It recommends research hot spots and challenges.
【作者單位】： 武漢大學(xué)計(jì)算機(jī)學(xué)院軟件工程國(guó)家重點(diǎn)實(shí)驗(yàn)室;中國(guó)人民解放軍94005部隊(duì);華中農(nóng)業(yè)大學(xué)理學(xué)院;
【基金】：國(guó)家973計(jì)劃資助項(xiàng)目(2014CB340401,2014CB340404) 國(guó)家自然科學(xué)基金資助項(xiàng)目(61373037,61202031,61100017) 國(guó)家科技支撐計(jì)劃項(xiàng)目(2012BAH07B01) 國(guó)家云計(jì)算示范工程“中小企業(yè)管理云應(yīng)用研發(fā)與產(chǎn)業(yè)化”項(xiàng)目
【分類號(hào)】：TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 劉建國(guó);周濤;郭強(qiáng);汪秉宏;;個(gè)性化推薦系統(tǒng)評(píng)價(jià)方法綜述[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2009年03期

2 楊楠,弓丹志,李_，

本文編號(hào)：1984827