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Showing result 1 - 5 of 8 essays matching the above criteria.
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1. Ingredient-based Group Recommender for Recipes (IGR2)
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. READ MORE
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2. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. READ MORE
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3. Evaluating the personalisation potential in local news
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Personalisation of content is a frequently used technique intended to improve user engagement and provide more value to users. Systems designed to provide recommendations to users are called recommender systems and are used in many different industries. READ MORE
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4. The Hidden Side Effects of Recommendation Systems : A study from user perspective to explore the ethical aspects of Recommender systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study analyzes the recommendation systems from a user’s perspective and identifies five areas of concern in developing and using a recommendation system. The study’s methods are focus group discussions with Data scientists and Full-stack developers working in the industry. READ MORE
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5. Understanding the Challenges and Needs of Requirements Engineering for Data-centric Systems
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background: As technology is advancing day by day, people tend to produce enormous volumes of data. This exceptional growth in data is leading to an increase in the development of intelligent systems that make use of this huge data available. READ MORE