DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | von Luck, Kai | - |
dc.contributor.author | Soltani, Ali | - |
dc.date.accessioned | 2022-03-01T12:11:17Z | - |
dc.date.available | 2022-03-01T12:11:17Z | - |
dc.date.created | 2020-01-17 | - |
dc.date.issued | 2022-03-01 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12738/12549 | - |
dc.description.abstract | Diese Arbeit beschäftigt sich mit Recommender Systeme für Online-Nachrichtenplattformen. Hierfür werden Data-Mining-Techniken untersucht und eine prototypische Implementierung eines Recommender Systems, für eine deutschsprachige Online-Nachrichtenplattform entwickelt und evaluiert. Für die prototypische Entwicklung wird das weit verbreitete Collaborative-Filtering Verfahren verwendet. Als Datenquelle dienen hier reale Cookies der Plattform. | de |
dc.description.abstract | This thesis deals with recommender systems for online news platforms. Data mining techniques are analyzed and a prototypical implementation of a recommender system for a German online news platform is developed and evaluated. For the prototypical development is the widely used collaborative filtering method used. Real cookies of the platform serve as data source. | en_US |
dc.language.iso | de | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | - |
dc.subject | Recommender System | en_US |
dc.subject | Collaborative Filtering | en_US |
dc.subject | Nachrichten | en_US |
dc.subject | Personalisierung | en_US |
dc.subject | Data Mining | en_US |
dc.subject.ddc | 004: Informatik | en_US |
dc.title | Konzept und Implementierung eines Nachrichten Recommender Systems | de |
dc.type | Thesis | en_US |
openaire.rights | info:eu-repo/semantics/openAccess | en_US |
thesis.grantor.department | Fakultät Technik und Informatik | en_US |
thesis.grantor.department | Department Informatik | en_US |
thesis.grantor.universityOrInstitution | Hochschule für Angewandte Wissenschaften Hamburg | en_US |
tuhh.contributor.referee | Sudeikat, Jan | - |
tuhh.identifier.urn | urn:nbn:de:gbv:18302-reposit-141589 | - |
tuhh.oai.show | true | en_US |
tuhh.publication.institute | Fakultät Technik und Informatik | en_US |
tuhh.publication.institute | Department Informatik | en_US |
tuhh.type.opus | Bachelor Thesis | - |
dc.type.casrai | Supervised Student Publication | - |
dc.type.dini | bachelorThesis | - |
dc.type.driver | bachelorThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | en_US |
dc.type.thesis | bachelorThesis | en_US |
dcterms.DCMIType | Text | - |
tuhh.dnb.status | domain | - |
item.creatorGND | Soltani, Ali | - |
item.fulltext | With Fulltext | - |
item.creatorOrcid | Soltani, Ali | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.advisorGND | von Luck, Kai | - |
item.languageiso639-1 | de | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.openairetype | Thesis | - |
Appears in Collections: | Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
thesis_soltani.pdf.pdf | 1.83 MB | Adobe PDF | View/Open |
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