Please use this identifier to cite or link to this item:
|Title:||An improved feedback approach using relevant local posts for blog feed retrieval|
|Citation:||Lee, Y.,Na, S.-H.,Lee, J.-H. (2009). An improved feedback approach using relevant local posts for blog feed retrieval. International Conference on Information and Knowledge Management, Proceedings : 1971-1974. ScholarBank@NUS Repository. https://doi.org/10.1145/1645953.1646278|
|Abstract:||Blog feed search aims to identify a blog feed with a recurring interest in a given topic. In this paper, we investigate the "pseudo-relevance feedback" for blog feed search task, where its unit of relevance judgment is not based on a blog post but a blog feed (the collection of all its constituent posts). This paper focuses on two characteristics of feed search task, blog feed's topical diversity and multifaceted property of query. We propose a novel feed-level selection of local posts which uses only highly relevant local posts in each top-ranked feed, in order to capture the correct and diverse relevant information to a given topic. Experimental results show that the proposed approach outperforms traditional feedback approaches. Especially, the proposed approach gives 2% further increase of nDCG over the best performing result of TREC '08 Blog Distillation Task. Copyright 2009 ACM.|
|Source Title:||International Conference on Information and Knowledge Management, Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 17, 2018
checked on Dec 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.