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Harte, Jesse (author)In this thesis we aim to research and design different neural models for session recommendation. We investigate the fundamental neural models for session recommendation, namely BERT4Rec, SASRec and GRU4Rec and subsequently use our findings to design a simpler but performant neural model. <br/><br/>Firstly, we address methodological errors made...master thesis 2023
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Al Nahadi, Murtadha (author)"Girls are bad at math, but are better than boys in linguistic subjects!" Such stereotypes, potentially manifesting through various sources, can impact children's development and negatively affect their academic performance. In this work, we study the presence of stereotypes among the Top-10 suggestions of Recommender Algorithms. In particular,...master thesis 2023
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Klomp, Danielle (author)Recommender systems have become a core strategy of countless online sites and platforms including music streaming services like Spotify. These recommender systems are associated with limiting our exposure to a narrower range of content, this is even the case for features designed to promote discovery like Spotify’s Discover Weekly. Discover...master thesis 2023
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Lodha, Sneha (author)<br/>One of the contributing factors to climate change is the release of gases, particularly carbon dioxide (CO2), which is amplified by the expanding E-commerce industry. E-commerce enterprises heavily depend on recommender systems as a means to incentivize consumers towards making product purchases. This master's thesis investigates the...master thesis 2023
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Madhwal, Rohan (author)Web3Recommend is a decentralized Social Recommender System implementation that enables Web3 Platforms on Android to generate recommendations that balance trust and relevance. Generating recommendations in decentralized networks is a non-trivial problem because these networks lack a global perspective due to the absence of a central authority....master thesis 2023
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- van de Vorstenbosch, Larissa (author) master thesis 2023
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STAVROU, SOFIA (author)Maintaining a healthy eating behavior can be challenging, especially under stressful situations. Self-control plays a pivotal role in this struggle, since it allows one to resist immediate desires in pursuit of higher-level goals. The level of self-control can differ among individuals, with varying degrees of “strength”. This strength can be...master thesis 2023
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Bruyn, Tim (author)This research is a case study investigating the effect of participation in the development process of a network-based scientist-journalist recommender system on the mental model of digital innovation of a team of communication professionals from Delft University of Technology and Naturalis Biodiversity Center.<br/> <br/>Communication...master thesis 2023
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Chandrashekar, Rohan (author)Humans make decisions when presented with choices based on influences. The Internet today presents people with abundant choices to choose from. Recommending choices with an emphasis on people's preferences has become increasingly sought. Grundy (1979), the first computer librarian Recommender System (RS), provided users with book recommendations...master thesis 2022
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de With, Wim (author)Recommender systems usually base their predictions on user-item interaction, a technique known as collaborative filtering. Vendors that utilize collaborative filtering generally exclusively use their own user-item interactions, but the accuracy of the recommendations may improve if several vendors share their data. Since user-item interaction...master thesis 2022
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Jongerius, Ricardo (author)Online dating has become the most popular method of finding potential romantic partners. At the core of these platforms, there is a reciprocal recommender system which recommends users to other users on the platform. Breeze is an example of such a dating app, serving its users potential romantic partners every day in the hopes of sending them on...master thesis 2022
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Kalisvaart, Raoul (author)We all know the possible consequences of global warming, rising temperatures, flooded cities and destroyed ecosystems. One of the causes is the emission of gases, predominantly CO2, which is increased by the growing E-commerce market. E-commerce companies rely on recommender systems to stimulate users to purchase products. We are convinced that...master thesis 2022
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Jung, Ji Youn (author)Research has shown how people anthropomorphize conversational agents (CA) and unconsciously bring their gender stereotypes into human-agent interaction. For this reason, there has been a long lasted dilemma on whether designers should design CAs that conform to or violate stereotypical expectations. Despite the urgency and importance of...master thesis 2022
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Karahan, Asli (author)Healthcare recommender systems emerged to help patients make better decisions for their health, leveraging the vast amount of data and patient experience. One type of this system focuses on recommending the most appropriate physician based on previous patient feedback in the form of ratings. Such advice can be challenging to generate for new...master thesis 2022
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Muetzel, Hannah (author)When discussing media, parasocial phenomena is mentioned. Audience members naturally partake in parasocial phenomena when consuming media and empathizing with media figures. Viewers who form relationships with a media figure despite never meeting them are said to be in a parasocial relationship. On YouTube, examples of parasocial interactions...master thesis 2021
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Bánsági, Aurél (author)In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...master thesis 2021
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van Ramshorst, Arjo (author)In recent years, recommender systems have become a fundamental part of our online experience. Users rely on such systems in situations with many potential choices, such as watching a movie on a streaming service, reading a blog post, or listening to a song. Traditionally, these systems use techniques such as collaborative filtering and content...master thesis 2021
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Bobde, Sharwin (author)Using Recommender Systems with Evolutionary Algorithms is an extremely niche domain. It holds the key to enabling new user interaction designs, where users can effectively configure their experience with a Recommender System. This thesis answers important questions about the scientific aspects of its application to large-scale data through a...master thesis 2021
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Mulder, Mats (author)Previous research on diversity in recommender systems define diversity as the opposite of similarity and propose methods that are based on topic diversity. Diversity in news media, however, is understood as multiperspectivity and scholars generally agree that fostering diversity is the key responsibility of the press in a democratic society....master thesis 2020
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Gong, B. (author)With advancements in Internet and technology, it has become increasingly easy for people to enjoy music. Users are able to access millions of songs through music streaming services like Spotify, Pandora, and Deezer. Access to such large catalogs created a need for relevant song recommendations. Music recommender systems assist users in finding...master thesis 2020