User-item reciprocity in recommender systems: incentivizing the crowd
| dc.contributor.author | Said, Alan | |
| dc.contributor.author | Larson, Martha | |
| dc.contributor.author | Tikk, Domonkos | |
| dc.contributor.author | Cremonesi, Paolo | |
| dc.contributor.author | Karatzoglou, Alexandros | |
| dc.contributor.author | Hopfgartner, Frank | |
| dc.contributor.author | Turrin, Roberto | |
| dc.contributor.author | Geurts, Joost | |
| dc.date.accessioned | 2018-07-04T12:13:35Z | |
| dc.date.available | 2018-07-04T12:13:35Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Data consumption has changed significantly in the last 10 years. The digital revolution and the Internet has brought an abundance of information to users. Recommender systems are a popular means of finding content that is both relevant and personalized. However, today's users require better recommender systems, able of producing continuous data feeds keeping up with their instantaneous and mobile needs. The CrowdRec project addresses this demand by providing context-aware, resource-combining, socially-informed, interactive and scalable recommendations. The key insight of CrowdRec is that, in order to achieve the dense, high-quality, timely information required for such systems, it is necessary to move from passive user data collection, to more active techniques fostering user engagement. For this purpose, CrowdRec activates the crowd, soliciting input and feedback from the wider community. | en |
| dc.description.sponsorship | EC/FP7/610594/EU/Crowd-powered recommendation for continuous digital media access and exchange in social networks/CrowdRec | en |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/7995 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-7158 | |
| dc.identifier.urn | urn:nbn:de:0074-1181-4 | |
| dc.language.iso | en | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.ddc | 004 Datenverarbeitung; Informatik | de |
| dc.subject.other | recommender system | en |
| dc.subject.other | user-item reciprocity | en |
| dc.subject.other | mobile need | en |
| dc.subject.other | popular mean | en |
| dc.subject.other | timely information | en |
| dc.subject.other | digital revolution | en |
| dc.title | User-item reciprocity in recommender systems: incentivizing the crowd | en |
| dc.type | Conference Object | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.editor | Thakkar, Dhaval | |
| dcterms.bibliographicCitation.editor | Brdiczka, Oliver | |
| dcterms.bibliographicCitation.editor | Trattner, Christoph | |
| dcterms.bibliographicCitation.originalpublishername | RWTH | en |
| dcterms.bibliographicCitation.originalpublisherplace | Aachen | en |
| dcterms.bibliographicCitation.pageend | 26 | en |
| dcterms.bibliographicCitation.pagestart | 23 | en |
| dcterms.bibliographicCitation.proceedingstitle | UMAP 2014 extended proceedings : posters, demos, late-breaking results and workshop proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization, Aalborg, Denmark, July 7-11, 2014 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Wirtschaftsinformatik und Quantitative Methoden::FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) | de |
| tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
| tub.affiliation.group | FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) | de |
| tub.affiliation.institute | Inst. Wirtschaftsinformatik und Quantitative Methoden | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |
| tub.series.issuenumber | 1181 | en |
| tub.series.name | CEUR workshop proceedings | en |