Combined ranking for multi-media web search engine

  • Authors:

  • HeeJoong Noh;YoungHyun Kwon;ChengLong Xu;Sung-Ryul Kim

  • Affiliations:

  • Fusion Konkuk University, Seoul, South Korea;Fusion Konkuk University, Seoul, South Korea;Fusion Konkuk University, Seoul, South Korea;Fusion Konkuk University, Seoul, South Korea

  • Venue:
  • Proceedings of the 2009 International Conference on Hybrid Information Technology
  • Year:
  • 2009

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Abstract

In this paper and we propose a new system structure for multi-media data search engine where the ranking for non-text data can be vastly improved. We first discuss why current search engines are not enough to search for multi-media data, and then introduce the new form of a database, called Mixed Database. Then we explain how our ranking system will work and how it works on our search engine.