Conference proceeding
Retrieving multimedia web objects based on PageRank algorithm
Special interest tracks and posters of the 14th international conference on World Wide Web, pp 906-907
10 May 2005
Abstract
Hyperlink analysis has been widely investigated to support the retrieval of Web documents in Internet search engines. It has been proven that the hyperlink analysis significantly improves the relevance of the search results and these techniques have been adopted in many commercial search engines, e.g. Google. However, hyperlink analysis is mostly utilized in the ranking mechanism of Web pages only but not including other multimedia objects, such as images and video. In this project, we propose a modified Multimedia PageRank algorithm to support the searching of multimedia objects in the Web.
Metrics
10 Record Views
11 citations in Scopus
Details
- Title
- Retrieving multimedia web objects based on PageRank algorithm
- Creators
- Christopher C. Yang - Chinese University of Hong KongK. Y. Chan - Chinese University of Hong Kong
- Publication Details
- Special interest tracks and posters of the 14th international conference on World Wide Web, pp 906-907
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-77953072456
- Other Identifier
- 991021855282404721