Using query reformulation to compare learning behaviors in web search engines

Marcelo Tibau; Sean W.M. Siqueira; Bernardo Pereira Nunes; Terhi Nurmikko-Fuller; Ruben Francisco Manrique

doi:10.1109/ICALT.2019.00054

Using query reformulation to compare learning behaviors in web search engines

Marcelo Tibau, Sean W.M. Siqueira, Bernardo Pereira Nunes, Terhi Nurmikko-Fuller, Ruben Francisco Manrique

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

3 Citations (Scopus)

Abstract

Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines' results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of Query States, a classification framework validated in an experiment involving two different query log datasets. It enables the comparison between the behaviors of users in search for knowledge (learners) and users performing transactional or factual searches in Web search engines.

Original language	English
Title of host publication	Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019
Editors	Maiga Chang, Demetrios G Sampson, Ronghuai Huang, Alex Sandro Gomes, Nian-Shing Chen, Ig Ibert Bittencourt, Kinshuk Kinshuk, Diego Dermeval, Ibsen Mateus Bittencourt
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	219-223
Number of pages	5
ISBN (Electronic)	9781728134857
DOIs	https://doi.org/10.1109/ICALT.2019.00054
Publication status	Published - Jul 2019
Event	19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019 - Maceio, Brazil Duration: 15 Jul 2019 → 18 Jul 2019

Publication series

Name	Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019

Conference

Conference	19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019
Country/Territory	Brazil
City	Maceio
Period	15/07/19 → 18/07/19

Access to Document

10.1109/ICALT.2019.00054

Cite this

Tibau, M., Siqueira, S. W. M., Pereira Nunes, B., Nurmikko-Fuller, T., & Manrique, R. F. (2019). Using query reformulation to compare learning behaviors in web search engines. In M. Chang, D. G. Sampson, R. Huang, A. S. Gomes, N.-S. Chen, I. I. Bittencourt, K. Kinshuk, D. Dermeval, & I. M. Bittencourt (Eds.), Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019 (pp. 219-223). Article 8820932 (Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2019.00054

Tibau, Marcelo ; Siqueira, Sean W.M. ; Pereira Nunes, Bernardo et al. / Using query reformulation to compare learning behaviors in web search engines. Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019. editor / Maiga Chang ; Demetrios G Sampson ; Ronghuai Huang ; Alex Sandro Gomes ; Nian-Shing Chen ; Ig Ibert Bittencourt ; Kinshuk Kinshuk ; Diego Dermeval ; Ibsen Mateus Bittencourt. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 219-223 (Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019).

@inproceedings{b926d169980f407ea31bc2277e39e4af,

title = "Using query reformulation to compare learning behaviors in web search engines",

abstract = "Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines' results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of Query States, a classification framework validated in an experiment involving two different query log datasets. It enables the comparison between the behaviors of users in search for knowledge (learners) and users performing transactional or factual searches in Web search engines.",

keywords = "Exploratory search, Knowledge-intensive process, Query reformulation, Query states, Searching as learning, Web search engine",

author = "Marcelo Tibau and Siqueira, \{Sean W.M.\} and \{Pereira Nunes\}, Bernardo and Terhi Nurmikko-Fuller and Manrique, \{Ruben Francisco\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019 ; Conference date: 15-07-2019 Through 18-07-2019",

year = "2019",

month = jul,

doi = "10.1109/ICALT.2019.00054",

language = "English",

series = "Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019",

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

pages = "219--223",

editor = "Maiga Chang and Sampson, \{Demetrios G\} and Ronghuai Huang and Gomes, \{Alex Sandro\} and Nian-Shing Chen and Bittencourt, \{Ig Ibert\} and Kinshuk Kinshuk and Diego Dermeval and Bittencourt, \{Ibsen Mateus\}",

booktitle = "Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019",

address = "United States",

}

Tibau, M, Siqueira, SWM, Pereira Nunes, B , Nurmikko-Fuller, T & Manrique, RF 2019, Using query reformulation to compare learning behaviors in web search engines. in M Chang, DG Sampson, R Huang, AS Gomes, N-S Chen, II Bittencourt, K Kinshuk, D Dermeval & IM Bittencourt (eds), Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019., 8820932, Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 219-223, 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019, Maceio, Brazil, 15/07/19. https://doi.org/10.1109/ICALT.2019.00054

Using query reformulation to compare learning behaviors in web search engines. / Tibau, Marcelo; Siqueira, Sean W.M.; Pereira Nunes, Bernardo et al.
Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019. ed. / Maiga Chang; Demetrios G Sampson; Ronghuai Huang; Alex Sandro Gomes; Nian-Shing Chen; Ig Ibert Bittencourt; Kinshuk Kinshuk; Diego Dermeval; Ibsen Mateus Bittencourt. Institute of Electrical and Electronics Engineers Inc., 2019. p. 219-223 8820932 (Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019).

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

TY - GEN

T1 - Using query reformulation to compare learning behaviors in web search engines

AU - Tibau, Marcelo

AU - Siqueira, Sean W.M.

AU - Pereira Nunes, Bernardo

AU - Nurmikko-Fuller, Terhi

AU - Manrique, Ruben Francisco

PY - 2019/7

Y1 - 2019/7

N2 - Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines' results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of Query States, a classification framework validated in an experiment involving two different query log datasets. It enables the comparison between the behaviors of users in search for knowledge (learners) and users performing transactional or factual searches in Web search engines.

AB - Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines' results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of Query States, a classification framework validated in an experiment involving two different query log datasets. It enables the comparison between the behaviors of users in search for knowledge (learners) and users performing transactional or factual searches in Web search engines.

KW - Exploratory search

KW - Knowledge-intensive process

KW - Query reformulation

KW - Query states

KW - Searching as learning

KW - Web search engine

UR - https://www.scopus.com/pages/publications/85072918819

U2 - 10.1109/ICALT.2019.00054

DO - 10.1109/ICALT.2019.00054

M3 - Conference Paper

T3 - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019

SP - 219

EP - 223

BT - Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019

A2 - Chang, Maiga

A2 - Sampson, Demetrios G

A2 - Huang, Ronghuai

A2 - Gomes, Alex Sandro

A2 - Chen, Nian-Shing

A2 - Bittencourt, Ig Ibert

A2 - Kinshuk, Kinshuk

A2 - Dermeval, Diego

A2 - Bittencourt, Ibsen Mateus

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019

Y2 - 15 July 2019 through 18 July 2019

ER -

Tibau M, Siqueira SWM, Pereira Nunes B , Nurmikko-Fuller T, Manrique RF. Using query reformulation to compare learning behaviors in web search engines. In Chang M, Sampson DG, Huang R, Gomes AS, Chen NS, Bittencourt II, Kinshuk K, Dermeval D, Bittencourt IM, editors, Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 219-223. 8820932. (Proceedings - IEEE 19th International Conference on Advanced Learning Technologies, ICALT 2019). doi: 10.1109/ICALT.2019.00054

Using query reformulation to compare learning behaviors in web search engines

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