作者
Mostafa Keikha, Mark James Carman, Fabio Crestani
发表日期
2009/7/19
研讨会论文
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
页码范围
638-639
出版商
ACM
简介
This paper addresses the blog distillation problem. That is, given a user query find the blogs most related to the query topic. We model the blogosphere as a single graph that includes extra information besides the content of the posts. By performing a random walk on this graph we extract most relevant blogs for each query. Our experiments on the TREC'07 data set show 15% improvement in MAP and 8% improvement in Precision@10 over the Language Modeling baseline.
学术搜索中的文章
M Keikha, MJ Carman, F Crestani - Proceedings of the 32nd international ACM SIGIR …, 2009