Searched for: subject%3A%22Recommender%255C+Systems%22
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Buzcu, Berk (author), Tessa, Melissa (author), Tchappi, Igor (author), Najjar, Amro (author), Hulstijn, Joris (author), Calvaresi, Davide (author), Aydoğan, Reyhan (author)
The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition virtual coaching systems (NVC) as a bridge between human–machine interaction and recommender, informative, persuasive,...
journal article 2024
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Musick, Geoff (author), Duan, Wen (author), Najafian, S. (author), Sengupta, Subhasree (author), Flathmann, Christopher (author), Knijnenburg, Bart (author), McNeese, Nathan (author)
Newly-formed teams often encounter the challenge of members coming together to collaborate on a project without prior knowledge of each other’s working and communication styles. This lack of familiarity can lead to conflicts and misunderstandings, hindering effective teamwork. Derived from research in social recommender systems, team...
journal article 2024
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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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Li, Roger Zhe (author)
doctoral 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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Sav, Andra (author)
Machine Learning models are nowadays infused into all aspects of our lives. Perhaps one of its most common applications regards recommender systems, as they facilitate users' decision-making processes in various scenarios (e.g., e-commerce, social media, news, online learning, etc.). Training performed on large volumes of data is what ultimately...
bachelor 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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van Smaalen, Mees (author)
Reading is an essential skill for any child to learn, and finding enjoyment in it can greatly contribute to developing proper reading comprehension. Finding the books they like could prove to be difficult. Utilizing collaborative filtering recommender systems to recommend books to children is a tricky task, the lack of user feedback makes it...
bachelor thesis 2023
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Qiu, Ziang (author)
Recently, a few children-centered recommendation systems have been created and evaluated. How- ever, these systems required user interaction to cre- ate ground truth to evaluate the result. This research aims to compare some of the traditional recommen- dation models and explore which trait could impact the recommendation process most for...
bachelor thesis 2023
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Swart, Stijn (author)
Recommender systems are a useful tool for match- ing readers with books. However, the lack of user data from children, both due to privacy concerns as well as a low incentive to leave reviews, results in existing systems proving inadequate at recom- mending to the youth. It has been shown that chil- dren have a different relation regarding...
bachelor thesis 2023
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Alkhiami, Mohamad awab (author)
This study examines traits that may be derived from book metadata and identifies statistically signifi- cant patterns and trends in order to assist recom- mender system designers for children’s books in selecting the most important traits to take into ac- count. This research focuses on descriptive such as publish year and structural metadata...
bachelor thesis 2023
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Beyhan, Yessin (author)
The cover of a children's book could play a crucial role in attracting the attention of young readers and influencing their decision to pick up and read the book. In this study, we aim to identify the factors that contribute to the appeal of children's book covers. Given that the target audience for children's books changes as children grow...
bachelor thesis 2023
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Magnini, Matteo (author), Ciatto, Giovanni (author), Cantürk, Furkan (author), Aydoğan, Reyhan (author), Omicini, Andrea (author)
Background and objective:This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must be taken into account when designing these kinds of systems, there...
journal article 2023
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Sav, Andra Georgiana (author), Demetriou, A.M. (author), Liem, C.C.S. (author)
Machine Learning (ML) models influence all aspects of our lives. They also commonly are integrated in recommender systems, which facilitate users’ decision-making processes in various scenarios, such as e-commerce, social media, news and online learning. Training performed on large volumes of data is what ultimately drives such systems to...
journal article 2023
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Garrido, Ángel Luis (author), Pera, M.S. (author), Bobed, Carlos (author)
Recommender Systems support a broad range of domains, each with peculiarities that recommendation algorithms must consider to produce appropriate suggestions. In the paper, we bring attention to a little-studied scenario related to the news domain: recommendations catering to media journalists. Based on the particular needs inherent to a...
journal article 2023
Searched for: subject%3A%22Recommender%255C+Systems%22
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