ICTNET at Blog Track TREC 2009
CHINESE ACADEMY OF SCIENCES BEIJING INST OF COMPUTING TECHNOLOGY
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This paper describes our participation in blog track of TREC2009. All runs are submitted for both two task, namely Top stories identification task and faceted blog distillation task. The FirteX platform was used to index and retrieval posts. As for top stories identification task, to identify important headlines, we measure the importance of headline by accumulating the BM25 relevance score with posts on the query day. We propose a graph-based iterative approach and a sub-topic detecting based approach respectively to identify diverse blog posts. As for faceted blog distillation task we adopt a very straightforward approach and measure the topical relevance by only exploiting top ad-hoc 10000 posts. To identify facet inclination, we either train centroid classifier or compute facet inclination weights of terms to compute facet inclination score and rerank feed by combining relevance score and facet inclination score.
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