天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁 > 科技論文 > 軟件論文 >

協(xié)同過濾技術(shù)在高校選課推薦系統(tǒng)中的應(yīng)用研究

發(fā)布時間:2018-12-19 20:03
【摘要】:目前信息化的高校選課系統(tǒng)在高校選課中的應(yīng)用非常普遍,幾乎所有高校都采用了教務(wù)網(wǎng)絡(luò)管理信息系統(tǒng)來為學(xué)生提供各種服務(wù)。學(xué)生使用選課系統(tǒng)在網(wǎng)上進行選課時,可以根據(jù)系統(tǒng)中提供的各種選修課,選擇自己感興趣的課程,修滿學(xué)分完成學(xué)業(yè)。盡管目前絕大多數(shù)的高校選課系統(tǒng)可以實現(xiàn)為學(xué)生提供基本的選課功能,但是選課系統(tǒng)的智能化程度不夠,不能為學(xué)生選課提供推薦功能。學(xué)生在選課的時候都存在很大的盲目性,對自己所學(xué)專業(yè)了解不夠,沒有方向性。很多同學(xué)通常都是為了修滿學(xué)分,選課的目的性不明確,所選課程是否對自己的專業(yè)發(fā)展有幫助也不會去考慮。導(dǎo)致所選課程對他們的整個學(xué)業(yè)規(guī)劃幫助不大,所以高校教務(wù)系統(tǒng)迫切需要有更加智能化的選課系統(tǒng),系統(tǒng)可以通過智能推薦來解決學(xué)生選課時存在的盲目性的問題,方便學(xué)生選課,為學(xué)生提供更便利的服務(wù)。本文主要研究將協(xié)同過濾技術(shù)融合到高校選課系統(tǒng)中,通過課程之間的相關(guān)性,學(xué)生之間的相關(guān)性,根據(jù)學(xué)生對所學(xué)課程的評分,構(gòu)建評分矩陣。根據(jù)協(xié)同過濾算法產(chǎn)生預(yù)測評分矩陣,產(chǎn)生推薦列表,實現(xiàn)智能化的為學(xué)生推薦他可能喜愛的課程。學(xué)生通過系統(tǒng)提供的推薦課程進行選課,所推薦課程往往是學(xué)生更感興趣的,有一定的專業(yè)導(dǎo)向性,目的性更明確。學(xué)生通過學(xué)習(xí)選修課程對學(xué)生的整個學(xué)習(xí)體系更加有幫助,達到了通過選修課程來幫助學(xué)生擴展知識面,完善專業(yè)知識體系的目的。實驗結(jié)果表明,在傳統(tǒng)協(xié)同過濾推薦技術(shù)的基礎(chǔ)上,采用改進的基于項目和用戶同時加權(quán)的用戶協(xié)同過濾算法實現(xiàn)課程推薦,推薦精度更高。本文所實現(xiàn)的改進的協(xié)同過濾技術(shù)在高校選課推薦系統(tǒng)中的應(yīng)用很好的為學(xué)生智能推薦選修課程,為學(xué)生所推薦的課程具有很好的合理性和準(zhǔn)確性,實現(xiàn)了更加智能化的為學(xué)生選課,具有很大的實用性和現(xiàn)實意義。
[Abstract]:At present, the application of the information-based course selection system in colleges and universities is very common. Almost all colleges and universities use the educational administration network management information system to provide various services for students. Students can choose the courses they are interested in according to the various elective courses offered by the system, and complete their studies with credit. Although most of the courses selection systems in colleges and universities can provide students with basic course selection functions, the intelligent degree of the course selection system is not enough to provide the recommended function for students to choose courses. Students in the selection of courses are very blind, their own professional understanding is not enough, there is no direction. Many students are usually to complete the credit, the purpose of the course is not clear, whether the course is helpful to their professional development and will not be considered. As a result, the selected courses are of little help to their entire academic planning. Therefore, the educational administration system in colleges and universities urgently needs a more intelligent course selection system. The system can solve the blindness problems existing in the course selection of students through intelligent recommendation. It is convenient for students to choose classes and provide more convenient service for students. This paper mainly studies the integration of collaborative filtering technology into the course selection system of colleges and universities. Through the correlation between courses and the correlation between students, the scoring matrix is constructed according to the students' scores on the courses they have learned. According to the collaborative filtering algorithm, the prediction score matrix is generated, the recommendation list is generated, and the course that he may like to be recommended to the student is intelligently recommended. Students choose courses through the recommended courses provided by the system. The recommended courses are often more interesting, professional oriented and more purposeful. Through the study of elective courses, students are more helpful to the whole learning system of students, and achieve the goal of helping students expand their knowledge and improve their professional knowledge system through elective courses. The experimental results show that, based on the traditional collaborative filtering recommendation technology, the improved user collaborative filtering algorithm based on item and user weights is used to realize the course recommendation, and the recommendation accuracy is higher. The application of the improved collaborative filtering technology in the course selection recommendation system of colleges and universities is very good for the students to recommend intelligent elective courses, the recommended courses for students have good rationality and accuracy. It realizes more intelligent course selection for students, which has great practicability and practical significance.
【學(xué)位授予單位】:華僑大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP391.3

【參考文獻】

相關(guān)期刊論文 前8條

1 羅麗霞;;基于用戶協(xié)同過濾的圖書推薦系統(tǒng)的設(shè)計與實現(xiàn)[J];新余學(xué)院學(xué)報;2014年06期

2 高繼勛;張黎爍;;基于協(xié)同過濾算法的智能教學(xué)系統(tǒng)研究[J];信陽師范學(xué)院學(xué)報(自然科學(xué)版);2013年04期

3 黃創(chuàng)光;印鑒;汪靜;劉玉葆;王甲海;;不確定近鄰的協(xié)同過濾推薦算法[J];計算機學(xué)報;2010年08期

4 劉旭東;;B2C網(wǎng)上購物推薦系統(tǒng)的設(shè)計與實現(xiàn)[J];計算機應(yīng)用與軟件;2009年09期

5 馬宏偉;張光衛(wèi);李鵬;;協(xié)同過濾推薦算法綜述[J];小型微型計算機系統(tǒng);2009年07期

6 王炎;;高校選課系統(tǒng)的設(shè)計與實踐[J];貴陽學(xué)院學(xué)報(自然科學(xué)版);2009年01期

7 徐蘭芳;胡懷飛;桑子夏;徐鳳鳴;鄒德清;;基于灰色系統(tǒng)理論的信譽報告機制[J];軟件學(xué)報;2007年07期

8 鄧愛林,朱揚勇,施伯樂;基于項目評分預(yù)測的協(xié)同過濾推薦算法[J];軟件學(xué)報;2003年09期

相關(guān)碩士學(xué)位論文 前6條

1 何佳知;基于內(nèi)容和協(xié)同過濾的混合算法在推薦系統(tǒng)中的應(yīng)用研究[D];東華大學(xué);2016年

2 郭清菊;推薦系統(tǒng)算法在學(xué)生個性化選課中的應(yīng)用研究[D];中山大學(xué);2013年

3 李娜;基于混合協(xié)同過濾的高校選課推薦方法研究[D];中南大學(xué);2013年

4 郝立燕;協(xié)同過濾技術(shù)中若干問題的研究[D];華僑大學(xué);2013年

5 吳步祺;電子商務(wù)推薦系統(tǒng)中協(xié)同過濾技術(shù)的研究[D];南昌大學(xué);2010年

6 張雪文;智能推薦系統(tǒng)中協(xié)同過濾算法的研究[D];上海交通大學(xué);2008年

,

本文編號:2387381

資料下載
論文發(fā)表

本文鏈接:http://sikaile.net/kejilunwen/ruanjiangongchenglunwen/2387381.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶8aa38***提供,本站僅收錄摘要或目錄,作者需要刪除請E-mail郵箱bigeng88@qq.com