臺灣博碩士論文加值系統

近年來在網路上，影片(video)已經變成非常熱門的資料型態。越來越多使用者會自己製作影片，並透過網路來分享。因此，提供一個可以在網路上分享和搜尋影片的平台變成一個很重要的議題。在本篇論文中，我們實作一個影片分享與搜尋系統。在影片搜尋引擎部分我們藉由分析使用者對搜尋結果的行為來優化排序的效果，並設計了一個多重排序的機制，讓使用者可以選擇不同的條件組合來調整搜尋結果的排序，以便找到更符合個人需求的搜尋結果。我們考慮的排序參數主要有：「查詢詞與影片資料相關度」、「點閱次數」、「推薦次數」、「有否暫存檔」等。在此排序機制中我們提供一個類似音樂播放等化器的使用介面讓使用者可以輕鬆直覺的調整排序條件的權重組合。另外我們還提供搜尋結果分類群組的功能，讓搜尋結果更有組織的呈現。為了提升影片觀看的效能，我們也加入了影片暫存(Caching)的機制。

Recently, video has become a popular data type. More and more users make their own video and share it on the internet. Therefore, to provide a system for users to share and search video is important. In this thesis, we designed and implemented a new video sharing and searching system. Our search engine uses user behavior data to optimize the ranking effect and provides a new ranking mechanism that allows users to control the ranking of the results through a combination of sorting criteria such that the user can adjust the ranking effect to fit his/her personal preference. The ranking criteria includes "keyword matching degree", "click count", "like count", and "whether cached". A user interface similar to an audio equalizer is provided for the user to control the ranking parameters in an easy and intuitive way. In addition, we provide a search result classification mechanism to group search results by their categories. We also provide video caching to improve the efficiency in viewing videos.

摘　要 i
ABSTRACT ii
謝　誌 iii
Table of Contents v
List of Figures vii
List of Tables viii
Chapter 1. Introduction 1
Chapter 2. Background 6
2.1 Data Collection 6
2.1.1 GAIS Record Format 6
2.1.2 Data Set 7
2.2 Programs & Tools 9
2.2.1 Video Search Kernel 9
2.2.2 Video Cache Tool 9
2.3 Database - RDB 11
Chapter 3. System Design & Architecture 14
3.1 System Architecture 14
3.2 Video Search 16
3.2.1 Rank by User Behavior 17
3.2.2 List search results 19
3.3 Share Video 20
3.3.1 Watch Video 20
3.3.2 Cache Video 21
Chapter 4. System Implementation & Demonstration 23
4.1 Video Search 23
4.1.1 Polyrank 25
4.1.2 Category Filter 26
4.2 Share Video 26
4.2.1 Watch Video 26
4.2.2 Cache Video 27
Chapter 5. Conclusion & Future Work 29
Reference 30

[1] FLV Player, http://flv-player.net/
[2] jQuery API, http://api.jquery.com/
[3] jQuery UI, http://jqueryui.com/
[4] YouTube Data API, http://code.google.com/apis/youtube/getting_started.html#data_api
[5] 黃柏雄, RDB
[6] 許峻漢, 2011YouTube Data Crawler
[7] 楊秉諺, YouTube Video Fetch
[8] 吳昇, Search kernel