加入外部觀點協助之影片搜尋引擎

Video search engine with the help of external viewpoint

邱浩榕(Hao-Jung Chiu)

指導教授 ： 吳帆

國立中正大學/管理學院/資訊管理學系/碩士(2013年)

摘要

由於網路頻寬及儲存設備技術快速發展，越來越多使用者在網路與他人分享影片。因為影片數量快數的增加，使用者要找到想要的影片越來越耗時間，雖然一般常見的影片搜尋引擎都會提供一些過濾機制及推薦功能，然而這些機制都太過於簡單，以至於常會將一些品質不好，甚至是垃圾影片放至高推薦區域，這讓使用者需要花很多時間去過濾篩選。幸運的，我們發現一些使用者會在自己的網路空間嵌入影片來加強描述，這些網站外部的影片相關資訊可能有助於我們來排序影片。我們進一步調查發現，網路上現有的影片搜尋引擎均無考慮網站外部的影片相關資訊，因此我們發展一套考慮外部觀點的影片搜尋引擎來幫助使用者快速找到想要的影片。

關鍵字

垃圾偵測 ； 影片搜尋 ； 推薦系統

並列摘要

Due to the improvement of network bandwidth and storage devices, sharing videos with others on the Internet becomes popular. Since the number of videos increase rapidly, users find the required videos become hard. Although there video search engines providing the ranking mechanisms, these mechanisms is too simple that usually rank the low-quality or even spam videos on the top region of a ranking that cost users’ much time to browse. Since there are many people embedding the videos on their space, the external information of the actions between videos and users on the Internet can help rank videos. We investigate and find that there is no video search engine taking the external viewpoint into consideration on the Internet. Thus, we propose a search engine with the help of external viewpoint to find the required videos for users rapidly.

並列關鍵字

Recommendation system ； Spam detect ； Video search engine

參考文獻

[1] Abu-Nimeh, S. (2010). Proliferation and Detection of Blog Spam. Security & Privacy, 8(5), 42-47.

[2] Adomavicius, G., & Kwon, Y. (2012). Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques. IEEE Transactions on Knowledge and Data Engineering, 24(5), 896- 911

[3] Araujo, L., & Martinez-Romo, J. (2010). Web Spam Detection: New Classification Features Based on Qualified Link Analysis and Language Models. IEEE Transactions on Information Forensics and Security, 5(3), 581- 590

[6] Cailan, Z., Kai, C., & Shasha, L. (2011). Improved PageRank algorithm based on feedback of user clicks. Paper presented at the 2011 International Conference on Computer Science and Service System (CSSS).

[7] Caruana, G., & Li, M. (2012). A survey of emerging approaches to spam filtering. ACM Computing Surveys (CSUR), 44(2).