讀Extracting Urban Patterns from Location-based Social Networks
轉自http://longriver.me/?p=320spa
這篇文章主要使用LDA topic model 對大衆軌跡的pattern(topics)進行挖掘，讀了以後，對LDA這種模型的認識又有了些新的認識：
1，是其在處理大量的稀疏數據時表現出來的好的效果
2，對這種機率分佈的結果，可操做空間比較大，相比於使用社區發現（community-detection）來講,社區發現發覺話題和社區結構的方法過硬，缺乏量化的指標
3，對於軌跡挖掘的一些思考，軌跡挖掘，之前使用較多的是頻繁模式，順序頻繁模式等，如今用機率的方法，得出的pattern解析性也不錯，效果也很好。get
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