未來研究方向

個人化文件推薦為知識分享的重要一環。個人化文件推薦協助使用者有效地 找尋所需文件，大幅減少搜尋成本，以增加個人工作效率。在未來整合標籤標記 於推薦的研究中可分成幾點作為努力方向，分述如下。

„ 使用者標籤分群

研究中將標籤視為一個興趣，許多興趣可能相似，若將標籤分群可以有效地 區分使用者的興趣，不僅從標籤特徵檔瞭解興趣，也可以從一組相似的標籤 文字說明興趣。

„ 文件之標籤結構

一份文件被許多人用許多標籤標記，從使用者需求分析這些記錄再轉換成標 籤結構，得知文件會滿足何種需求。

„ 即時推薦

本研究中以模擬方式進行實驗，意即把資料切割成訓練資料與測試資料，若 能採取真實使用者進行實驗，以即時性方式推薦文章會更具實務上效益。

„ 興趣標籤結構

未來的研究中可以對標籤資料進行統計分析，瞭解使用者的長期與短期興趣 標籤穩定性。依據穩定性將資料區開來，再分別以常騎與短期進行探討。

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