研究生: |
李颼菲 Shofy - Amalia |
---|---|
論文名稱: |
基於趨勢變化與社群影響之使用者喜好探勘機制 Discovering User Preference based on Topical Trends and Social Influences |
指導教授: |
李漢銘
Hahn-Ming Lee 何建明 Jan-Ming Ho |
口試委員: |
毛敬豪
Ching-Hao Mao 陳培德 Pei-Te Chen 鄧惟中 Wei-Chung Teng |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 英文 |
論文頁數: | 40 |
中文關鍵詞: | 推薦系統 、使用者喜好 、社群影響力 、時間分配 、潛藏狄利克里分配 |
外文關鍵詞: | Recommendation System, User Preference, Social Influence, Time Distribution, Latent Dirichlet Allocation |
相關次數: | 點閱:381 下載:12 |
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社群媒體現存兩個大問題,分別是資訊過多以及如何了解使用者的興趣。依據使用者喜好所建立的推薦系統可同時解決這兩個問題。因此發掘言在喜好資訊將成為了解社群媒體用戶的關鍵。所以我們提出結合時間與社群資訊的推薦系統用於探尋使用者的潛在喜好。
Social media is facing two big problems in their whole history, which are the information overload and how good they understand the interest of their users. One way to cope with those two problems all at once is applying a recommendation system that fits with user interest. Regarding all that matter, finding latent information has become crucial for better understanding of the user of social media.
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