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
E194 - Institut für Information Systems Engineering
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Date (published):
2018
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Number of Pages:
97
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Keywords:
Information systems; Recommender systems; Collaborative Filtering; Novelty; Diversity
de
Information systems; Recommender systems; Collaborative Filtering; Novelty; Diversity
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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.