| dc.date | 2015-08-01 | |
| dc.date.accessioned | 2023-09-25T18:35:22Z | |
| dc.date.available | 2023-09-25T18:35:22Z | |
| dc.identifier | http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002015000200008 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8838511 | |
| dc.description | Going to the cinema or watching television are social activities that generally take place in groups. In these cases, a recommender system for ephemeral groups of users is more suitable than (well-studied) recommender systems for individuals. In this paper we present a recommendation system for groups of users that go to the cinema. The system uses the Slope One algorithm for computing individual predictions and the Multiplicative Utilitarian Strategy as a model to make a recommendation to an entire group. We show how we solved all practical aspects of the system; including its architecture and a mobile application for the service, the lack of user data (ramp-up and cold-start problems), the scaling fit of the group model strategy, and other improvements in order to reduce the response time. Finally, we validate the performance of the system with a set of experiments with 57 ephemeral groups. | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Centro Latinoamericano de Estudios en Informática | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | CLEI Electronic Journal v.18 n.2 2015 | |
| dc.subject | recommender systems | |
| dc.subject | ephemeral group recommendation | |
| dc.subject | collaborative filtering | |
| dc.subject | Slope One | |
| dc.subject | utilitarian strategy | |
| dc.title | Let s go to the cinema!: A movie recommender system for ephemeral groups of users | |
| dc.type | info:eu-repo/semantics/article | |
