Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-00958-7_87
Title: DiffPost: Filtering non-relevant content based on content difference between two consecutive blog posts
Authors: Nam, S.-H.
Na, S.-H. 
Lee, Y.
Lee, J.-H.
Issue Date: 2009
Source: Nam, S.-H.,Na, S.-H.,Lee, Y.,Lee, J.-H. (2009). DiffPost: Filtering non-relevant content based on content difference between two consecutive blog posts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5478 LNCS : 791-795. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-00958-7_87
Abstract: One of the important issues in blog search engines is to extract the cleaned text from blog post. In practice, this extraction process is confronted with many non-relevant contents in the original blog post, such as menu, banner, site description, etc, causing the ranking be less-effective. The problem is that these non-relevant contents are not encoded in a unified way but encoded in many different ways between blog sites. Thus, the commercial vendor of blog sites should consider tuning works such as making human-driven rules for eliminating these non-relevant contents for all blog sites. However, such tuning is a very inefficient process. Rather than this labor-intensive method, this paper first recognizes that many of these non-relevant contents are not changed between several consequent blog posts, and then proposes a simple and effective DiffPost algorithm to eliminate them based on content difference between two consequent blog posts in the same blog site. Experimental result in TREC blog track is remarkable, showing that the retrieval system using DiffPost makes an important performance improvement of about 10% MAP (Mean Average Precision) increase over that without DiffPost. © Springer-Verlag Berlin Heidelberg 2009.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41947
ISBN: 3642009573
ISSN: 03029743
DOI: 10.1007/978-3-642-00958-7_87
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