Design of a Knowledge-Based Recommender System for Recipes from an End-User Perspective
| dc.contributor.author | Niessner, Julia | |
| dc.contributor.author | Ludwig, Thomas | |
| dc.contributor.editor | Schneegass, Stefan | |
| dc.contributor.editor | Pfleging, Bastian | |
| dc.contributor.editor | Kern, Dagmar | |
| dc.date.accessioned | 2021-09-03T19:10:19Z | |
| dc.date.available | 2021-09-03T19:10:19Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Nowadays, recommender systems are a fundamental part of several online services. However, most of these systems rely on collective user data and ratings or a preselection of parameters to derive appropriate recommendations. Within this paper, we examine recommendations without previous user data. We therefore designed and evaluated a knowledge-based recommender system by turning to recipe recommendations that offer alternatives for favorite recipes. We introduce and compare three versions of a given algorithm. Our evaluation shows that the knowledge-based approach may serve as a good start for deriving appropriate recommendations without prior user data. Moreover, we show that end-users’ assumptions about decisive criteria of a recommender system do not necessarily match the later actual decisive criteria. | en |
| dc.description.uri | https://dl.acm.org/doi/10.1145/3473856.3473888 | en |
| dc.identifier.doi | 10.1145/3473856.3473888 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37264 | |
| dc.language.iso | en | |
| dc.publisher | ACM | |
| dc.relation.ispartof | Mensch und Computer 2021 - Tagungsband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.subject | Recommender System | |
| dc.subject | User Study | |
| dc.subject | Similarity Metrics | |
| dc.subject | Recipes | |
| dc.subject | Knowledge-based Filtering | |
| dc.title | Design of a Knowledge-Based Recommender System for Recipes from an End-User Perspective | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 552 | |
| gi.citation.publisherPlace | New York | |
| gi.citation.startPage | 545 | |
| gi.conference.date | 5.-8.. September 2021 | |
| gi.conference.location | Ingolstadt | |
| gi.conference.sessiontitle | MCI-SE08 | |
| gi.document.quality | digidoc |