Title: Designing and evaluating a board game recommender system
Language: English
Authors: Ion, Michael Antonius 
Qualification level: Diploma
Advisor: Werthner, Hannes 
Assisting Advisor: Sacharidis, Dimitrios  
Issue Date: 2018
Citation: 
Ion, M. A. (2018). Designing and evaluating a board game recommender system [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.55721
Number of Pages: 97
Qualification level: Diploma
Abstract: 
Board games have gained an unbelievable traction over the last few years. The number of board game releases grows exponentially and customers have a variety of choice like never before. This increases decision paralysis and makes it harder to decide what game to buy next. Consequently, recommendation systems were applied in various domains over the last decade to relieve this issue for customers. In this thesis, we will investigate and create various recommendation systems for this specific use case. We apply both collaborative as well as content-based approaches. We conclude the thesis with a thorough evaluation of the different recommender systems.
Keywords: Information systems; Recommender systems; Collaborative Filtering; Novelty; Diversity
Information systems; Recommender systems; Collaborative Filtering; Novelty; Diversity
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-136624
http://hdl.handle.net/20.500.12708/1444
DOI: 10.34726/hss.2018.55721
Library ID: AC15629888
Organisation: E194 - Institut für Information Systems Engineering 
Publication Type: Thesis
Hochschulschrift
Appears in Collections:Thesis

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