StoryTime

Eliciting preferences from children for book recommendations

Conference Paper (2019)
Author(s)

Ashlee Milton (People and Information Research Team)

Michael Green (People and Information Research Team)

Adam Keener (People and Information Research Team)

Joshua Ames (People and Information Research Team)

Michael Ekstrand (People and Information Research Team)

Maria Soledad Pera (People and Information Research Team)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1145/3298689.3347048
More Info
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Publication Year
2019
Language
English
Affiliation
External organisation
Pages (from-to)
544-545
ISBN (electronic)
9781450362436

Abstract

We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefts of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.

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