Sciweavers

Share
SIGIR
2008
ACM

Retrieval and feedback models for blog feed search

8 years 5 months ago
Retrieval and feedback models for blog feed search
Blog feed search poses different and interesting challenges from traditional ad hoc document retrieval. The units of retrieval, the blogs, are collections of documents, the blog posts. In this work we adapt a state-of-the-art federated search model to the feed retrieval task, showing a significant improvement over algorithms based on the best performing submissions in the TREC 2007 Blog Distillation task[12]. We also show that typical query expansion techniques such as pseudo-relevance feedback using the blog corpus do not provide any significant performance improvement and in many cases dramatically hurt performance. We perform an in-depth analysis of the behavior of pseudorelevance feedback for this task and develop a novel query expansion technique using the link structure in Wikipedia. This query expansion technique provides significant and consistent performance improvements for this task, yielding a 22% and 14% improvement in MAP over the unexpanded query for our baseline and fe...
Jonathan L. Elsas, Jaime Arguello, Jamie Callan, J
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where SIGIR
Authors Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell
Comments (0)
books