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

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2010
Event	19th Text REtrieval Conference, TREC 2010 - Gaithersburg, MD, United States Duration: 16 Nov 2010 → 19 Nov 2010

Cite this

@article{6847cfc90c7546088af5c0b781022cd1,

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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "19th Text REtrieval Conference, TREC 2010 ; Conference date: 16-11-2010 Through 19-11-2010",

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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.

UR - http://www.scopus.com/inward/record.url?scp=84873442260&partnerID=8YFLogxK

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

Abstract

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