Titlebook: Smart Information Systems; Computational Intell Frank Hopfgartner Book 2015 Springer International Publishing Switzerland 2015 Data Analysi

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Personalized Fashion Adviceevaluate and compare our case-based approach with standard recommendation approaches. The evaluation shows that even with little knowledge, a suitable user model can be learned and used for computing recommendations. The evaluation bases on real data of customers of an online shop. Based on the resu

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Gamification of Workplace Activitiese design element that maximizes their expected contribution to achieve these goals. We show that this problem can be reduced to a statistical learning problem and suggest matrix factorization as one solution when user interaction data is given. The hypothesis is that predictive models as intelligent

Albumin

Detecting Violent Content in Hollywood Movies and User-Generated Videosused to predict the violence level of videos by employing two-class support vector machines (SVMs). The experimental results in Hollywood movies and short web videos show that mid-level audio features are more discriminative than the visual features, and that the performance is further enhanced by f

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Intermodal Mobility Assistance for Megacitiesng a special purpose computer. In addition, a routing system based on a dynamically changing map has been developed in order to provide fast and reliable routing solutions. It integrates the information from all channels into one world view and takes these into account when searching for routes thro

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Dedication

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https://doi.org/10.1007/978-3-319-14178-7Data Analysis; Information Retrieval; Knowledge Extraction; Machine Learning; NLP; Recommender Systems; Ti

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refraction

Smart Information Systems978-3-319-14178-7Series ISSN 2191-6586 Series E-ISSN 2191-6594