現在市面上有關消費者相關物品包括科技技術、生活用品等,都在強調個性化根據每一個使用者的不同,規畫出符合各個使用者所使用的東西及模式,所以我們在這裡導入商業智慧的概念,讓不同的使用者可以依據自己平時習慣以及愛好來瀏覽網頁地圖。在本研究中我們利用灰色預測理論去產生一個預測值,將所預測出來的數值,利用霍夫曼編碼演算法建構出霍夫曼樹,經由霍夫曼樹可以排列出相對應的霍夫曼編碼值,接著利用霍夫曼編碼架構出一個動態的網站瀏覽地圖。在本文中我們將每個會員所瀏覽過的網頁及次數加以統計,與一般使用者所瀏覽的網頁次數,以一定權重來變更會員所專屬的網站的地圖。
Now available in the market for consumer-related goods, including technology, household items, etc., have emphasized personalized , according to the different preferences of each user, planning to conform individual user of different preferences and patterns, so here we import the concept of business intelligence, so that different users according to their usual habits and preferences to browse the Site Map. In this study, we use gray prediction theory to generate a predicted value and the predicted values, using Huffman coding algorithms construct a Huffman tree, using Huffman tree can be ordered out by the Huffman code corresponding, then the use Huffman coding construct of a dynamic website map. In this article we will count the number of times each member browse the Web, and the general number of users browsing the web, a certain weight to change the membership of the exclusive site map.