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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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 languageEnglish
Title of host publicationProceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
EditorsJavier Gurrola
Place of PublicationPiscataway
PublisherIEEE
Pages311-317
Number of pages7
ISBN (Electronic)979-8-3503-0918-8
ISBN (Print)979-8-3503-0919-5
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) - Venice, Italy
Duration: 26 Oct 202329 Oct 2023

Conference

Conference2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Country/TerritoryItaly
CityVenice
Period26/10/2329/10/23

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

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