QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track

Walid Magdy; Wei Gao; Tarek El-Ganainy; Zhongyu Wei

QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track

Walid Magdy, Wei Gao, Tarek El-Ganainy, Zhongyu Wei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

In this paper we present our work on the ad-hoc search and the tweet timeline generation (TTG) tasks of TREC-2014 Microblog track. Regarding the ad-hoc search task, we used our best developed system over the last year, which include hyperlink based query expansion and re-ranking models fusion. For the new tweet timeline generation task, we applied a straightforward and simple approach, which depends on clustering retrieval results based on Jaccard similarities between tweets. Our best adhoc results achieved the fifth rank and seventh rank among 21 participating groups when evaluated using P@30 and MAP respectively. However, our best TTG run achieved the second rank among participants, which shows that our simple TTG approach was more effective than most of the used TTG systems in TREC.

Original language	English
Title of host publication	Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014
Number of pages	4
Publication status	Published - 2014

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http://trec.nist.gov/pubs/trec23/papers/pro-QCRI_microblog.pdf

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@inproceedings{58f03ea792cc432cb9b753647367fd81,

title = "QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track",

abstract = "In this paper we present our work on the ad-hoc search and the tweet timeline generation (TTG) tasks of TREC-2014 Microblog track. Regarding the ad-hoc search task, we used our best developed system over the last year, which include hyperlink based query expansion and re-ranking models fusion. For the new tweet timeline generation task, we applied a straightforward and simple approach, which depends on clustering retrieval results based on Jaccard similarities between tweets. Our best adhoc results achieved the fifth rank and seventh rank among 21 participating groups when evaluated using P@30 and MAP respectively. However, our best TTG run achieved the second rank among participants, which shows that our simple TTG approach was more effective than most of the used TTG systems in TREC.",

author = "Walid Magdy and Wei Gao and Tarek El-Ganainy and Zhongyu Wei",

year = "2014",

language = "English",

booktitle = "Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014",

}

TY - GEN

T1 - QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track

AU - Magdy, Walid

AU - Gao, Wei

AU - El-Ganainy, Tarek

AU - Wei, Zhongyu

PY - 2014

Y1 - 2014

N2 - In this paper we present our work on the ad-hoc search and the tweet timeline generation (TTG) tasks of TREC-2014 Microblog track. Regarding the ad-hoc search task, we used our best developed system over the last year, which include hyperlink based query expansion and re-ranking models fusion. For the new tweet timeline generation task, we applied a straightforward and simple approach, which depends on clustering retrieval results based on Jaccard similarities between tweets. Our best adhoc results achieved the fifth rank and seventh rank among 21 participating groups when evaluated using P@30 and MAP respectively. However, our best TTG run achieved the second rank among participants, which shows that our simple TTG approach was more effective than most of the used TTG systems in TREC.

AB - In this paper we present our work on the ad-hoc search and the tweet timeline generation (TTG) tasks of TREC-2014 Microblog track. Regarding the ad-hoc search task, we used our best developed system over the last year, which include hyperlink based query expansion and re-ranking models fusion. For the new tweet timeline generation task, we applied a straightforward and simple approach, which depends on clustering retrieval results based on Jaccard similarities between tweets. Our best adhoc results achieved the fifth rank and seventh rank among 21 participating groups when evaluated using P@30 and MAP respectively. However, our best TTG run achieved the second rank among participants, which shows that our simple TTG approach was more effective than most of the used TTG systems in TREC.

M3 - Conference contribution

BT - Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014

ER -

QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track

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