BIT at TREC 2009 faceted blog distillation task

Peng Jiang; Qing Yang; Chunxia Zhang; Zhendong Niu

BIT at TREC 2009 faceted blog distillation task

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

2 Citations (Scopus)

Abstract

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.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2009
Externally published	Yes
Event	18th Text REtrieval Conference, TREC 2009 - Gaithersburg, MD, United States Duration: 17 Nov 2009 → 20 Nov 2009

Cite this

@article{29d502b3fcd849c599fc3045d609eb98,

title = "BIT at TREC 2009 faceted blog distillation task",

abstract = "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.",

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

year = "2009",

language = "English",

journal = "NIST Special Publication",

issn = "1048-776X",

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

note = "18th Text REtrieval Conference, TREC 2009 ; Conference date: 17-11-2009 Through 20-11-2009",

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TY - JOUR

T1 - BIT at TREC 2009 faceted blog distillation task

AU - Jiang, Peng

AU - Yang, Qing

AU - Zhang, Chunxia

AU - Niu, Zhendong

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84873436115

M3 - Conference article

AN - SCOPUS:84873436115

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 18th Text REtrieval Conference, TREC 2009

Y2 - 17 November 2009 through 20 November 2009

ER -

BIT at TREC 2009 faceted blog distillation task

Abstract

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