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Bad Data 技術手冊
book

Bad Data 技術手冊

by Q. Ethan McCallum
September 2013
Intermediate to advanced
264 pages
5h
Chinese
GoTop Information, Inc.
Content preview from Bad Data 技術手冊
22
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第二章:是只有我這樣,還是這個資料本身令人感到有趣?
站,對於大量的關鍵字來說,並不會有那麼多的頁面都被排在第一頁的頂端,但它擁有
許多網頁都被排在第二名或是第三名,所以就算在第一位置的 CTR 是最高的(如在其
他頁面上所顯示的),也不會在第一頁上顯示。當排名越往後時,流量會越來越小,所
以導致網頁瀏覽次數開始看起來像是 CTR 一樣。
推薦分析
到目前為止,我已經談論了基於每列在單一欄位中擁有相同值的數量,所繪出的統計直
方圖。我們也看到,這的確在許多狀況中都是個有用的東西,但對於某些使用狀況來
說,這個方法提供了太詳細的細節,比較難以發現一些有用的模式。舉例來說,讓我們
來看看分析推薦模式的問題。這可能是對使用者推薦電影、為某個產品推薦產品或是許
多其他的可能,但對這個範例來說,我會使用文章推薦來當作例子。試想一個包含豐富
內容的網站,裡面包含上百萬篇在極廣泛主題上的文章。為了要將讀者從現在正在閱讀
的文章導引到他會感興趣或是覺得有用的文章,該網站會基於編輯人員手動挑選、語意
相似度以及∕或過往的瀏覽模式,提供一個推薦的短清單。
我們將會從一個由推薦對所組成的資料集合開始:每列就是一個推薦,第一個欄位包含
來源文章的 URL,第二個欄位則是目的文章的 URL
範例
2-3 
範例推薦檔案
http://example.com/fry_an_egg.html http://example.com/boil_an_egg.html
http://example.com/fry_an_egg.html http://example.com/fry_bacon.html ...
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Publisher Resources

ISBN: 9789862768952