Abstract
We present the preliminary exploration we conducted to identify traits that can influence children's preferences in books. Findings offer insights for the design of recommender algorithms that would look beyond patterns inferred from traditional user-system interactions (e.g., ratings) for recommendation purposes, since when it comes to children such data is rarely, if at all, available.
Original language | English |
---|---|
Title of host publication | RecSys 2020 - 14th ACM Conference on Recommender Systems |
Publisher | Association for Computing Machinery (ACM) |
Pages | 669-674 |
Number of pages | 6 |
ISBN (Electronic) | 9781450375832 |
DOIs | |
Publication status | Published - 22 Sept 2020 |
Externally published | Yes |
Event | 14th ACM Conference on Recommender Systems, RecSys 2020 - Virtual, Online, Brazil Duration: 22 Sept 2020 → 26 Sept 2020 |
Conference
Conference | 14th ACM Conference on Recommender Systems, RecSys 2020 |
---|---|
Country/Territory | Brazil |
City | Virtual, Online |
Period | 22/09/20 → 26/09/20 |
Keywords
- books
- children
- metadata
- preferences
- recommender systems