摘要
In this paper, we explore a new paradigm to enable Web search at image level reflecting the most relevant results to the users. So we introduce a new concept of Popularity-based Rank (PR), a content-level ranking and searching model for image retrieval. Specifically, we establish a PR Operation which is combined with new link structure analysis. The strategy to decide searching order by taking similarity into consideration is also proposed and proved to be effective and efficient. Experimental results show that the combined analysis can achieve significantly better ranking results than naively applying page-level ranking on the image model Which is usually used in the current search engines.
- 出版日期2009-11