Analysis of query reformulations in a search engine of a local web site

M. Dyaa Albakour; Udo Kruschwitz; Nikolaos Nanas; Ibrahim Adeyanju; Dawei Song; Maria Fasli; Anne De Roeck

doi:10.1007/978-3-642-28997-2_54

Analysis of query reformulations in a search engine of a local web site

M. Dyaa Albakour^*, Udo Kruschwitz, Nikolaos Nanas, Ibrahim Adeyanju, Dawei Song, Maria Fasli, Anne De Roeck

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.

Original language	English
Title of host publication	Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings
Pages	517-521
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-642-28997-2_54
Publication status	Published - 2012
Externally published	Yes
Event	34th European Conference on Information Retrieval, ECIR 2012 - Barcelona, Spain Duration: 1 Apr 2012 → 5 Apr 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7224 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	34th European Conference on Information Retrieval, ECIR 2012
Country/Territory	Spain
City	Barcelona
Period	1/04/12 → 5/04/12

Access to Document

10.1007/978-3-642-28997-2_54

Cite this

Albakour, M. D., Kruschwitz, U., Nanas, N., Adeyanju, I., Song, D., Fasli, M., & De Roeck, A. (2012). Analysis of query reformulations in a search engine of a local web site. In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings (pp. 517-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7224 LNCS). https://doi.org/10.1007/978-3-642-28997-2_54

Albakour, M. Dyaa ; Kruschwitz, Udo ; Nanas, Nikolaos et al. / Analysis of query reformulations in a search engine of a local web site. Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. 2012. pp. 517-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{df516a48766245e7a8b00fda51dd76f6,

title = "Analysis of query reformulations in a search engine of a local web site",

abstract = "This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.",

author = "Albakour, {M. Dyaa} and Udo Kruschwitz and Nikolaos Nanas and Ibrahim Adeyanju and Dawei Song and Maria Fasli and {De Roeck}, Anne",

year = "2012",

doi = "10.1007/978-3-642-28997-2_54",

language = "English",

isbn = "9783642289965",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "517--521",

booktitle = "Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings",

note = "34th European Conference on Information Retrieval, ECIR 2012 ; Conference date: 01-04-2012 Through 05-04-2012",

}

Albakour, MD, Kruschwitz, U, Nanas, N, Adeyanju, I, Song, D, Fasli, M & De Roeck, A 2012, Analysis of query reformulations in a search engine of a local web site. in Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7224 LNCS, pp. 517-521, 34th European Conference on Information Retrieval, ECIR 2012, Barcelona, Spain, 1/04/12. https://doi.org/10.1007/978-3-642-28997-2_54

Analysis of query reformulations in a search engine of a local web site. / Albakour, M. Dyaa; Kruschwitz, Udo; Nanas, Nikolaos et al.
Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. 2012. p. 517-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7224 LNCS).

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

TY - GEN

T1 - Analysis of query reformulations in a search engine of a local web site

AU - Albakour, M. Dyaa

AU - Kruschwitz, Udo

AU - Nanas, Nikolaos

AU - Adeyanju, Ibrahim

AU - Song, Dawei

AU - Fasli, Maria

AU - De Roeck, Anne

PY - 2012

Y1 - 2012

N2 - This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.

AB - This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.

UR - http://www.scopus.com/inward/record.url?scp=84860175377&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-28997-2_54

DO - 10.1007/978-3-642-28997-2_54

M3 - Conference contribution

AN - SCOPUS:84860175377

SN - 9783642289965

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 517

EP - 521

BT - Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings

T2 - 34th European Conference on Information Retrieval, ECIR 2012

Y2 - 1 April 2012 through 5 April 2012

ER -

Albakour MD, Kruschwitz U, Nanas N, Adeyanju I, Song D, Fasli M et al. Analysis of query reformulations in a search engine of a local web site. In Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Proceedings. 2012. p. 517-521. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28997-2_54

Analysis of query reformulations in a search engine of a local web site

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this