Social networks and news outlets use recommender systems to distribute information and suggest news to their users. These algorithms are an attractive solution to deal with the massive amount of content on the web [6]. However, some organisations prioritise retention and maximisation of the number of …

Algorithmic curation is a helpful solution for the massive amount of content on the web. The term is used to describe how platforms automate the recommendation of content to users. News outlets, social networks and search engines widely use recommendation systems. Such automation has led to worries about …

This report described the whole process of designing an EC meter system in a continuous project: MFM EC meter. From the designing until the testing, detailed explanation about every part will be mentioned. From a view of engineering student, the report starting from introduction of the assignment and …

Social networks and news outlets entrust content curation to specialised algorithms from the broad family of recommender systems. Companies attempt to increase engagement by connecting users with ideas they are more likely to agree with. Eli Pariser, the author of the term filter bubble, suggested that …

Data, the raw material from which information is derived, is stored, copied, moved and modified more easily than ever. This quantum leap reaches levels outside our imagination. Surrounded by sensors, recommendation systems, invisible algorithms, spreadsheets and blockchains, the ‘difference that makes …

The user experience of our daily interactions is increasingly shaped with the aid of AI, mostly as the output of recommendation engines. However, it is less common to present users with possibilities to navigate or adapt such output. In this paper we argue that adding such algorithmic controls can be …

This research paper was done as part of the final asignment of the Water Management/Delta Management bachelor program of the HZ University of Applied Sciences in Middelburg in the Netherlands. The research was conducted at N.V. G.E.B.E. in St. Maarten, the only water and electricity company on the Dutch …

The aim of this thesis is to identify and implement the best personalized recommendation system that will increase the engagement of Fitenium users. Based on the research, it was determined that the best personalized recommendation system for this use case is Amazon Personalize. Amazon Personalize …

Recommendation systems, recommenders in short, selecting and filtering content are widely used by companies in order to provide suggestions for items to users. These ‘items’ range from songs (e.g., Spotify), series (e.g., Netflix), and movies (e.g., YouTube) to messages (e.g., Facebook), job vacancies …

With climate change and urban development, water systems are changing faster than ever. Currently, the ecological status of water systems is still judged based on single point measurements, without taking into account the spatial and temporal variability of water quality and ecology. There is a need …