Video search in video sharing site based on public video lists

A large number of video files are shared in video sharing sites in the internet. In this paper, we propose video community extracting methods based on web community extracting method, which consist of Fan pages and Center pages, tf-idf, and Zipf's low. With our proposed methods, a video and a video list are considered as a Center page and a Fan page in web community extraction, respectively. For evaluation, we executed video search using the proposed methods and compared the search results with those of other methods. Our experiments demonstrated that the proposed methods could provide better search results than other methods, such as web search engines.