Rank Aggregation to Combine QoS in Web Search

Authors:
Xiangyi Chen;Chen Ding
Affiliations:
Department of Computer Science, Ryerson University, Canada;Department of Computer Science, Ryerson University, Canada
Venue:
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Year:
2009

Citing 8
Cited 0

Rank aggregation methods for the Web

Proceedings of the 10th international conference on World Wide Web
Models for metasearch

Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Condorcet fusion for improved retrieval

Proceedings of the eleventh international conference on Information and knowledge management
Soft Computing Techniques for Rank Aggregation on the World Wide Web

World Wide Web
Quality driven web services composition

WWW '03 Proceedings of the 12th international conference on World Wide Web
A model for web services discovery with QoS

ACM SIGecom Exchanges
Efficient similarity search and classification via rank aggregation

Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Supervised rank aggregation

Proceedings of the 16th international conference on World Wide Web

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we consider the quality of the page delivery as an important factor in the page ranking process. So if two pages have the same level of relevancy to a query, the one with a higher delivery quality (e.g. faster response) should be ranked higher. We define several important quality attributes and explain how we rank the web page based on these attributes. The experiment result shows that our proposed algorithm can promote the pages with a higher delivery quality to higher positions in the result list. We also compare several rank aggregation algorithms trying to find out the best performing one.