用戶數對推薦系統的影響

雖然東半球的我們在過春節,但是世界還是照常運轉的,Daniel Lemire 剛剛在他的部落格寫了一篇隨筆 - 需要多少用戶才能建構一個有效率的 collaborative filtering 系統

大過年的,沒有太多心思想嚴肅的事情,所以隨手把「沒有深思熟慮」的想法加在Daniel 的想法後面:
  • You can build an effective recommender system with as little as two people.
    • 兩個用戶何必要什麼推薦系統?拳頭就是推薦系統
  • As you have more users, you tend to have more training data. Hence, you may have more accurate recommendations.
  • More accurate recommendations may not be important to your users.
  • The exact count of your users may not matter as much as the diversity of your users.
    • 我完全同意, diversity 是影響推薦系統更關鍵的因素
  • A good rule of thumb is that you should have many more users than you have items to recommend.
  • Given the right algorithms, your accuracy will improve monotonically with the number of users and the amount of training data.
  • The users may enter feedback data to correct the assumptions of your recommender system and thus, improve it over time.
    • Ya! 用戶的回饋是 CF 最重要的"資產"了
最後還是要加個 Disclaimer 比較保險,還是請諸君看原文,而且不要忘了看精彩的讀者回應喔!

All in all, ,今日是戊子年大年初一,小弟在此向所有相識或不相識的拜年,戊子大吉,新年快樂!

Comments

  1. 請問一下版大一個版模問題

    這個是外國人寫的DEMO

    http://newzen-for-blogger.blogspot.com/

    下載位置

    http://www.bloggertemplates.org/review/newzen-for-blogger#myreview

    請問這個下載回來的檔案要如何使用?

    ReplyDelete
  2. 在下載網址 http://www.bloggertemplates.org/review/newzen-for-blogger#myreview 的最下方,有安裝指引,比較麻煩的地方是你要找個可以放圖形檔(作者建議用 imageshack,我想用 google page 或 photo bucket 也不錯)的地方,把版模用到的圖形上傳到伺服器。

    不過我看了theme.txt 的原始碼,這是舊版的 template ,我不確定能不能裝起來。

    ReplyDelete

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