摘要
This Paper presents the work done for the TREC 2009 faceted blog distillation task of blog track. In our approach, we use a mixture of language models based on global representation. Our model can be regarded as a combination of topic relevance model and faceted relevance model. By pseudo-relevance feedback method, we can estimate the above two models from topic relevance feedback documents and facet relevance feedback documents respectively. Experimental results on TREC blogs08 collection show the effectiveness of our proposed approach.
| 源语言 | 英语 |
|---|---|
| 期刊 | NIST Special Publication |
| 出版状态 | 已出版 - 2009 |
| 已对外发布 | 是 |
| 活动 | 18th Text REtrieval Conference, TREC 2009 - Gaithersburg, MD, 美国 期限: 17 11月 2009 → 20 11月 2009 |
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