Conference proceeding
StoryTime: Eliciting Preferences from Children for Book Recommendations
RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, pp 544-545
01 Jan 2019
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 benefits 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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Details
- Title
- StoryTime: Eliciting Preferences from Children for Book Recommendations
- Creators
- Ashlee Milton - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAMichael Green - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAAdam Keener - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAJoshua Ames - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAMichael D. Ekstrand - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAMaria Soledad Pera - Dept Comp Sci, People & Informat Res Team, Boise, ID 83725 USAAssoc Comp Machinery
- Publication Details
- RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, pp 544-545
- Publisher
- Assoc Computing Machinery
- Number of pages
- 2
- Grant note
- 1565937; 1751278; 1763649 / NSF; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000557263400096
- Scopus ID
- 2-s2.0-85073341684
- Other Identifier
- 991021818497504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Operations Research & Management Science