Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

Garrett Allen; Katherine Landau Wright; Jerry Alan Fails; Casey Kennington; Maria Soledad Pera

doi:10.1109/WI-IAT59888.2023.00050

Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera

Web Information Systems

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

Abstract

We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment, appropriateness, and adequate readability by analyzing the URLs, snippets, and page titles of Web resources retrieved by a mainstream search engine. Experimental results demonstrate the value of considering multiple perspectives inherent to the classroom when designing algorithms that can better support children's information discovery.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Editors	Javier Gurrola
Place of Publication	Piscataway
Publisher	IEEE
Pages	311-317
Number of pages	7
ISBN (Electronic)	979-8-3503-0918-8
ISBN (Print)	979-8-3503-0919-5
DOIs	https://doi.org/10.1109/WI-IAT59888.2023.00050
Publication status	Published - 2023
Event	2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) - Venice, Italy Duration: 26 Oct 2023 → 29 Oct 2023

Conference

Conference	2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Country/Territory	Italy
City	Venice
Period	26/10/23 → 29/10/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

children’s web search
ranking

Access to Document

10.1109/WI-IAT59888.2023.00050

Cite this

Allen, G., Wright, K. L., Fails, J. A., Kennington, C., & Pera, M. S. (2023). Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom. In J. Gurrola (Ed.), Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 311-317). IEEE. https://doi.org/10.1109/WI-IAT59888.2023.00050

@inproceedings{2bcc46379a684528a2fa79916eb3881a,

title = "Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom",

abstract = "We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment, appropriateness, and adequate readability by analyzing the URLs, snippets, and page titles of Web resources retrieved by a mainstream search engine. Experimental results demonstrate the value of considering multiple perspectives inherent to the classroom when designing algorithms that can better support children's information discovery.",

keywords = "children{\textquoteright}s web search, ranking",

author = "Garrett Allen and Wright, {Katherine Landau} and Fails, {Jerry Alan} and Casey Kennington and Pera, {Maria Soledad}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) ; Conference date: 26-10-2023 Through 29-10-2023",

year = "2023",

doi = "10.1109/WI-IAT59888.2023.00050",

language = "English",

isbn = "979-8-3503-0919-5",

pages = "311--317",

editor = "{Gurrola }, Javier",

booktitle = "Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)",

publisher = "IEEE",

address = "United States",

}

Allen, G, Wright, KL, Fails, JA, Kennington, C & Pera, MS 2023, Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom. in J Gurrola (ed.), Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, Piscataway, pp. 311-317, 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Venice, Italy, 26/10/23. https://doi.org/10.1109/WI-IAT59888.2023.00050

Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom. / Allen, Garrett; Wright, Katherine Landau; Fails, Jerry Alan et al.
Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). ed. / Javier Gurrola . Piscataway: IEEE, 2023. p. 311-317.

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

TY - GEN

T1 - Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

AU - Allen, Garrett

AU - Wright, Katherine Landau

AU - Fails, Jerry Alan

AU - Kennington, Casey

AU - Pera, Maria Soledad

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment, appropriateness, and adequate readability by analyzing the URLs, snippets, and page titles of Web resources retrieved by a mainstream search engine. Experimental results demonstrate the value of considering multiple perspectives inherent to the classroom when designing algorithms that can better support children's information discovery.

AB - We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment, appropriateness, and adequate readability by analyzing the URLs, snippets, and page titles of Web resources retrieved by a mainstream search engine. Experimental results demonstrate the value of considering multiple perspectives inherent to the classroom when designing algorithms that can better support children's information discovery.

KW - children’s web search

KW - ranking

UR - http://www.scopus.com/inward/record.url?scp=85182525335&partnerID=8YFLogxK

U2 - 10.1109/WI-IAT59888.2023.00050

DO - 10.1109/WI-IAT59888.2023.00050

M3 - Conference contribution

SN - 979-8-3503-0919-5

SP - 311

EP - 317

BT - Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

A2 - Gurrola , Javier

PB - IEEE

CY - Piscataway

T2 - 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

Y2 - 26 October 2023 through 29 October 2023

ER -

Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Embargoed Document

Fingerprint

Cite this