Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 197 for “"Recommender"”.
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Modelling Group Recommender Systems
… to systematically study how to model group for recommender systems with different kinds of auxiliary group information. 1) Social-aware recommendation approaches assume that the knowledge in social user-user connections can be shared and transferred to the domain of user-item interactions, …
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Smart Travel Recommender System
… for city residents, we contribute smart travel recommender system, which uses a recommendation engine to suggest the optimum commute mode based on variables such as air quality, distance, weather, and users’ preferences. To make it more realistic and adaptive, our algorithm gives more weight to …
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Towards decentralized recommender systems
Automated recommender systems make product suggestions that are tailored <br>to the human user's individual needs and represent powerful means to combat <br>information glut. However, their practical applicability has been largely confined to scenarios where all information relevant for …
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Uncertainty in Recommender Systems
Recommender Systems have emerged as a powerful tool in the information era. Due to the overwhelming number of items (products and services) currently offered on digital platforms, it is often necessary to use a system capable of ranking the items and offering those that are most relevant to each …
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Designing Sustainable Recommender Systems
Recommender systems are widely deployed to serve users with content they like. However, content must be created and insufficient demand dampens a creator’s production incentive. We argue that the canonical recommender system may not be sustainable if, by promoting the content each user likes the …
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ACM Venue Recommender System
… to address this issue and have developed journal recommenders. In this thesis, our goal is to design and develop a similar recommendation system for the ACM dataset. We view this recommendation problem from a classification perspective. With the success of deep learning classifiers in recent times …
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Personalized News Recommender using Twitter
… by information of little interest to them. News recommender systems are one approach to help users find interesting articles to read. News recommender systems present the articles to individual users based on their interests rather than presenting articles in order of their occurrence. In this …
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Towards an Informative Recommender System
Recommender systems play a critical role in modern digital platforms, yet their effectiveness depends on how well they extract and utilize implicit information from available data. This dissertation explores informative learning—a paradigm that enhances recommendation quality by extracting, …
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A Layered Conversational Recommender System
In this thesis a new approach to building product recommender systems is introduced. By using a customer-centric dialogue, the customers' preferences are elicited. These are the basis for inferring utility estimations about the desired technical properties of the products in question. Systems built …
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Active caching for recommender systems
… while carrying out browsing and searching tasks. Recommender systems substantially reduce the information overload by suggesting a list of similar documents that users might find interesting. However, generating these ranked lists requires an enormous amount of resources that often results in …
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Trust networks for recommender systems
Recommender systems use information about their user’s profiles and relationships to suggest items that might be of interest to them. Recommenders that incorporate a social trust network among their users have the potential to make more personalized recommendations compared to traditional systems, …
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Recommender System for Audio Recordings
… websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending commercial or noncommercial product items to users according to the users’ tastes. In this project, we develop a recommender system for a private multimedia web service …
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Recommender systems for manual testing
A atividade de teste de software pode ser bastante árdua e custosa. No contexto de testes manuais, todo o esforço com o objetivo de reduzir o tempo de execução dos testes e aumentar a contenção de defeitos é bem-vindo. Uma possível estratégia é alocar os casos de teste de acordo com o perfil do …
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Enhanced Recommender Systems by Biclustering
Recommender systems play a very important role to explore and suggest personalized recommendations to users from a huge number of choices. In this thesis, we propose a new class of enhanced recommender systems, called BiRDS (meaning Biclustering Recommendation Systems) and develop three different …
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TaskDo: A Daily Task Recommender System
… This problem has driven us to contribute a task recommender system which suggests a specific type of tasks to users based on their history of tasks and various factors at that specific time. This system not only suggests a specific type of task for the user but also collects feedback from the …
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A recommender system for e-retail
… the customer. In this dissertation, we develop a recommender system (RS), whose purpose is to provide suggestions for products that are most likely of interest to a particular customer. There are two primary contributions of this dissertation. First, we describe a set of six characteristics that …
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Demystifying graph neural networks in recommender systems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Cross-cultural recommender system use and design
… component of consumers’ everyday life. These recommender systems are employed on e-commerce sites across the world. However, despite their pervasive presence, the user interface design, and the way in which products are recommended, these systems are relatively similar across cultures. Across …
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soMLier: A South African Wine Recommender System
Though several commercial wine recommender systems exist, they are largely tailored to consumers outside of South Africa (SA). Consequently, these systems are of limited use to novice wine consumers in SA. To address this, the aim of this research is to develop a system for South African consumers …
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Kibitz : a framework for creating recommender systems
Recommender systems are one of the most vital and ubiquitous parts of the modern web. They are used by many major internet services such as Facebook, Google, and Amazon. However, there is a wealth of content and data that remains untapped by mainstream commercial recommender systems. We have …
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