發(fā)布時間：2018-01-24 08:21

  本文關鍵詞： 電子商務推薦 粗糙集理論 可用性評估 可用性測試　出處：《北京郵電大學》2010年碩士論文　論文類型：學位論文

【摘要】： 隨著計算機的普及和互聯網的發(fā)展,電子商務逐漸興起并已經在當今社會零售業(yè)中占有較多的比重。圍繞電子商務進行的各種研究方興未艾,推薦系統(tǒng)便是其中一個重要的研究方向,對于電子商務的發(fā)展具有很大的現實意義。 目前,幾乎所有大型的電子商務網站,如Amazon,eBay,當當，，卓越,京東商城等,都不同程度的使用了各種形式的推薦系統(tǒng)。但當前對電子商務系統(tǒng)的研究主要側重在各種推薦技術上面。對于電子商務網站推薦的可視化并沒有太多的研究。 本文首先研究了電子商務網站推薦技術的現狀。對當前的推薦技術做了分析比較,同時提出一種基于粗糙集的用戶購買傾向推薦機制,對推薦機制及算法做了研究和設計。通過對用戶瀏覽行為記錄的數據經過粗糙集理論中的約簡,得出了用戶行為與購買傾向之間的聯系算法。 其次本文通過對現有研究現狀的分析,對當前主流電子商務網站做了以可用性測試技術為基礎的分析和測試。得出了當前網站推薦可視化系統(tǒng)的不足之處。并設計了一個新的電子商務網站推薦系統(tǒng)。同時做了系統(tǒng)的高保真原型并進行了可用性評估測試,對新設計的推薦系統(tǒng)進行了驗證。 論文中做了大量的可用性測試,為系統(tǒng)的設計提供了從用戶那里得到的許多建議和方法,最后的驗證也說明了新系統(tǒng)的可用性更加出色,但論文中對于算法的驗證沒有進行過多的研究,也是后續(xù)需要進行改進的工作。
[Abstract]:With the popularity of computers and the development of the Internet, electronic commerce is gradually rising and has already occupied a large proportion in the retail trade in today's society. A variety of research on e-commerce is in the ascendant. Recommendation system is one of the important research directions, which has great practical significance for the development of e-commerce. At present, almost all large e-commerce sites, such as Amazon Bay, Dangdang, Excellence, JingDong Mall and so on. At present, the research of E-commerce system is mainly focused on various recommendation technology. There is not much research on the visualization of E-commerce website recommendation. Firstly, this paper studies the status quo of e-commerce website recommendation technology, analyzes and compares the current recommendation technology, and puts forward a recommendation mechanism based on rough set. The recommendation mechanism and algorithm are studied and designed, and the link algorithm between user behavior and purchase intention is obtained by reducing the data of user browsing behavior record through rough set theory. Secondly, this paper analyzes the current research situation. This paper analyzes and tests the current mainstream e-commerce websites based on usability testing technology, and concludes the shortcomings of the current website recommendation visualization system, and designs a new E-commerce website recommendation system. At the same time, the high fidelity prototype of the system is made and the usability evaluation test is carried out. The newly designed recommendation system is verified. In this paper, a large number of usability tests have been done, which provide many suggestions and methods from users for the design of the system. Finally, the verification also shows that the new system has better usability. However, there is not much research on the verification of the algorithm in this paper, and it is also the work that needs to be improved in the future.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2010
【分類號】：J524

【參考文獻】

相關期刊論文 前5條

1 張海昕;郭丹;劉正捷;陳軍亮;;中國C2C電子商務網站的用戶體驗[J];大連海事大學學報(社會科學版);2007年03期

2 余力,劉魯;電子商務個性化推薦研究[J];計算機集成制造系統(tǒng);2004年10期

3 鄧曉輝;漆強;;淺析電子商務推薦系統(tǒng)[J];企業(yè)經濟;2007年08期

4 李洛;黃達峰;;網站可用性的可測性原則與測試方法[J];微計算機信息;2007年15期

5 魏博;;淺談互聯網中的用戶體驗[J];藝術與設計(理論);2008年02期

本文編號：1459592