Improving recommender system navigability through diversification: A case study of IMDb

DOI:	https://doi.org/10.1145/2809563.2809603
URL:	https://dl.acm.org/doi/abs/10.1145/2809563.2809603
Additional URL:	https://www.researchgate.net/publication/301444781...
Document Type:	Conference or workshop publication
Year of publication:	2015
Book title:	Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, i-KNOW 2015 : 21 – 22 October 2015, Graz, Austria
Volume:	Article 21
Page range:	1-8
Conference title:	i-KNOW 2015
Location of the conference venue:	Graz, Austria
Date of the conference:	21.-22.10.2015
Publisher:	Lindstaedt, Stefanie ; Ley, Tobias ; Sack, Harald
Place of publication:	New York, NY
Publishing house:	ACM
ISBN:	978-1-4503-3721-2
Related URLs:	https://dl.acm.org/action/showFmPdf?doi=...
Publication language:	English
Institution:	Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Subject:	004 Computer science, internet 330 Economics
Keywords (English):	recommender systems , IMDb , navigation , diversification

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

BASE: Lamprecht, Daniel ; Geigl, Florian ; Karas, Tomas ; Walk, Simon ; Helic, Denis ; Strohmaier, Markus

Google Scholar: Lamprecht, Daniel ; Geigl, Florian ; Karas, Tomas ; Walk, Simon ; Helic, Denis ; Strohmaier, Markus

ORCID: Lamprecht, Daniel, Geigl, Florian, Karas, Tomas, Walk, Simon, Helic, Denis and Strohmaier, Markus

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