Research Article
Fusion Based Linked Object Web Ranking for Social Networks
@INPROCEEDINGS{10.1007/978-3-642-27317-9_9, author={Pushpa Suri and Harmunish Taneja}, title={Fusion Based Linked Object Web Ranking for Social Networks}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III}, proceedings_a={CCSIT PART III}, year={2012}, month={11}, keywords={Web objects Ranking Fusion Based Rank (FBR) Linked Object Web Ranking Social Networks Music search}, doi={10.1007/978-3-642-27317-9_9} }- Pushpa Suri
Harmunish Taneja
Year: 2012
Fusion Based Linked Object Web Ranking for Social Networks
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_9
Abstract
Search is no doubt the most critical aspect of information computing over web. Ranking is pivotal for efficient web search as the search performance mainly depends upon the ranking results. The trade-off between the systems costs of extracting a single right web object and a set of potential results continues to be major design issue. Social networks have ensured the expanding disproportion between the face of World Wide Web stored traditionally in search engine repositories and the actual ever changing face of Web. As definition of search is changing, socially-enhanced interactive search methodologies are the need of the hour. In this paper new integrated ranking model based on page rank paradigm for sorting web objects from multiple social forums is proposed. This model identifies relationships between web objects in separate social networks particularly in the light of music search. It can be extended to video and other multimedia forms.