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|Title:||An improved feedback approach using relevant local posts for blog feed retrieval||Authors:||Lee, Y.
|Issue Date:||2009||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/41948||ISBN:||9781605585123||DOI:||10.1145/1645953.1646278|
|Appears in Collections:||Staff Publications|
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