BIT at TREC 2010 blog track: Faceted blog distillation

Peng Jiang; Qing Yang; Chunxia Zhang; Zhendong Niu

BIT at TREC 2010 blog track: Faceted blog distillation

Peng Jiang^*, Qing Yang, Chunxia Zhang, Zhendong Niu

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

This paper presents the work done for the TREC 2010 faceted blog distillation task. As the approach used in TREC 2009, a mixture of language models based on global representation is employed to rank the entire blogs by relevance and facets. The parameters in our approach are adjusted according to the experimental results in TREC 2009. In addition, we make use of the results evaluated in TREC 2009 to train a SVM classifier. This classifier is used to filter and re-rank the results obtained by the mixture model.

源语言	英语
期刊	NIST Special Publication
出版状态	已出版 - 2010
活动	19th Text REtrieval Conference, TREC 2010 - Gaithersburg, MD, 美国期限: 16 11月 2010 → 19 11月 2010

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Jiang, P., Yang, Q., Zhang, C., & Niu, Z. (2010). BIT at TREC 2010 blog track: Faceted blog distillation. NIST Special Publication.

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title = "BIT at TREC 2010 blog track: Faceted blog distillation",

abstract = "This paper presents the work done for the TREC 2010 faceted blog distillation task. As the approach used in TREC 2009, a mixture of language models based on global representation is employed to rank the entire blogs by relevance and facets. The parameters in our approach are adjusted according to the experimental results in TREC 2009. In addition, we make use of the results evaluated in TREC 2009 to train a SVM classifier. This classifier is used to filter and re-rank the results obtained by the mixture model.",

author = "Peng Jiang and Qing Yang and Chunxia Zhang and Zhendong Niu",

year = "2010",

language = "English",

journal = "NIST Special Publication",

issn = "1048-776X",

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T1 - BIT at TREC 2010 blog track

T2 - 19th Text REtrieval Conference, TREC 2010

AU - Jiang, Peng

AU - Yang, Qing

AU - Zhang, Chunxia

AU - Niu, Zhendong

PY - 2010

Y1 - 2010

N2 - This paper presents the work done for the TREC 2010 faceted blog distillation task. As the approach used in TREC 2009, a mixture of language models based on global representation is employed to rank the entire blogs by relevance and facets. The parameters in our approach are adjusted according to the experimental results in TREC 2009. In addition, we make use of the results evaluated in TREC 2009 to train a SVM classifier. This classifier is used to filter and re-rank the results obtained by the mixture model.

AB - This paper presents the work done for the TREC 2010 faceted blog distillation task. As the approach used in TREC 2009, a mixture of language models based on global representation is employed to rank the entire blogs by relevance and facets. The parameters in our approach are adjusted according to the experimental results in TREC 2009. In addition, we make use of the results evaluated in TREC 2009 to train a SVM classifier. This classifier is used to filter and re-rank the results obtained by the mixture model.

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M3 - Conference article

AN - SCOPUS:84873442260

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

Y2 - 16 November 2010 through 19 November 2010

ER -

BIT at TREC 2010 blog track: Faceted blog distillation

摘要

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