Lexical analysis for modeling web query reformulation

Alessandro Bozzon; Paul Alexandru Chirita; Claudiu S. Firan; Wolfgang Nejdl

doi:10.1145/1277741.1277885

Lexical analysis for modeling web query reformulation

Alessandro Bozzon^*, Paul Alexandru Chirita, Claudiu S. Firan, Wolfgang Nejdl

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

Abstract

Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.

Original language	English
Title of host publication	SIGIR'07
Subtitle of host publication	Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages	739-740
Number of pages	2
DOIs	https://doi.org/10.1145/1277741.1277885
Publication status	Published - 2007
Externally published	Yes
Event	30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands Duration: 23 Jul 2007 → 27 Jul 2007

Conference

Conference	30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Country/Territory	Netherlands
City	Amsterdam
Period	23/07/07 → 27/07/07

Keywords

Lexical log analysis
Query reformulation model

Access to Document

10.1145/1277741.1277885

Cite this

@inproceedings{db5525d6a2b6464f850d80b1ae3ef610,

title = "Lexical analysis for modeling web query reformulation",

abstract = "Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.",

keywords = "Lexical log analysis, Query reformulation model",

author = "Alessandro Bozzon and Chirita, {Paul Alexandru} and Firan, {Claudiu S.} and Wolfgang Nejdl",

year = "2007",

doi = "10.1145/1277741.1277885",

language = "English",

isbn = "1595935975",

pages = "739--740",

booktitle = "SIGIR'07",

note = "30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 ; Conference date: 23-07-2007 Through 27-07-2007",

}

Bozzon, A, Chirita, PA, Firan, CS & Nejdl, W 2007, Lexical analysis for modeling web query reformulation. in SIGIR'07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 739-740, 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, Amsterdam, Netherlands, 23/07/07. https://doi.org/10.1145/1277741.1277885

Lexical analysis for modeling web query reformulation. / Bozzon, Alessandro; Chirita, Paul Alexandru; Firan, Claudiu S. et al.
SIGIR'07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2007. p. 739-740.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Lexical analysis for modeling web query reformulation

AU - Bozzon, Alessandro

AU - Chirita, Paul Alexandru

AU - Firan, Claudiu S.

AU - Nejdl, Wolfgang

PY - 2007

Y1 - 2007

N2 - Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.

AB - Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.

KW - Lexical log analysis

KW - Query reformulation model

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U2 - 10.1145/1277741.1277885

DO - 10.1145/1277741.1277885

M3 - Conference contribution

AN - SCOPUS:36448941166

SN - 1595935975

SN - 9781595935977

SP - 739

EP - 740

BT - SIGIR'07

T2 - 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Y2 - 23 July 2007 through 27 July 2007

ER -

Lexical analysis for modeling web query reformulation

Abstract

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Keywords

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