Abstract
‘Recommender systems’ are algorithms aimed at supporting users in their online decision making. More specifically, in the computer science literature, a recommender system is defined as:
a specific type of advice-giving or decision support system that guides users in a personalized way to interesting or useful objects in a large space of possible options or that produces such objects as output (Felfernig et al., 2018).
Examples of such systems are the Amazon recommender tool for products, the Netflix algorithm that suggests movies, the Facebook software that finds ‘friends’ we might know.
a specific type of advice-giving or decision support system that guides users in a personalized way to interesting or useful objects in a large space of possible options or that produces such objects as output (Felfernig et al., 2018).
Examples of such systems are the Amazon recommender tool for products, the Netflix algorithm that suggests movies, the Facebook software that finds ‘friends’ we might know.
| Original language | English |
|---|---|
| Title of host publication | Glossary of Platform Law and Policy Terms |
| Editors | Luca Belli, Nicolò Zingales, Yasmin Curzi |
| Place of Publication | Rio de janeiro |
| Publisher | IGF |
| Chapter | 74 |
| Pages | 257-261 |
| Number of pages | 5 |
| ISBN (Print) | 978-65-86060-31-7 |
| Publication status | Published - 1 Dec 2021 |
| Event | 16th Annual Internet Governance Forum Meeting - Katowice, Poland Duration: 6 Dec 2021 → 10 Dec 2021 https://www.gov.pl/web/igf2021-en |
Conference
| Conference | 16th Annual Internet Governance Forum Meeting |
|---|---|
| Abbreviated title | IGF 2021 |
| Country/Territory | Poland |
| City | Katowice |
| Period | 6/12/21 → 10/12/21 |
| Internet address |