Experimental Results on the Aggregation Methods in Blog Distillation

Authors:
Mostafa Keikha;Fabio Crestani
Affiliations:
-;-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2009

Citing 2
Cited 0

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Retrieval and feedback models for blog feed search

Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the blog distillation problem, that is, given a user query find the blogs that are most related to the query topic. We model each post as evidence about relevance of a blog to the query, and use aggregation methods like Ordered Weighted Averaging operators to combine the evidence. Our experiments on the TREC'07 data set show 42% improvement in Mean Average Precision and 21% improvement in Precision at 10 over a baseline based on the Language Model.