Experimental Results on the Aggregation Methods in Blog Distillation

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.