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 23 for “"preference elicitation"”.
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Coactive Learning Algorithms for Constructive Preference Elicitation
Preference-based decision problems often involve choosing one among a large set of options, making common tasks like buying a car or a domestic appliance very challenging for a customer to handle on her own. This is especially true when buying online, where the amount of available options is …
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Consumer Responses to Preference Elicitation Processes in Destination Recommendation Systems
… of the questions asked during the course of the preference elicitation process does not matter much. In contrast, form of measurement---and to some extent the number of questions asked---have small but significant direct effects on the evaluation of the recommendation provided by the system. …
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Image content-based user preference elicitation for personalised mobile recommendation of shopping items
Submitted in fulfillment of the requirements of the Degree of Doctor of Philosophy (Ph.D.) in Information Technology in the Department of Information Technology Faculty of Accounting and Informatics at the Durban University of Technology Durban, South Africa, 2021.
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DalSegno: User-centric preference elicitation strategies for mitigating cold start in music recommender systems
… learn about and fine-tune their inferred music preferences through interactive visualizations of song characteristics. Throughout three rounds of user testing, DalSegno demonstrated promising results. Participants appreciated the system's ability to incorporate user feedback to provide more …
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The choice-theoretic characterizations of risk changes and risk attitudes in cumulative prospect theory : a stochastic dominance approach
… risk seeking and downside risk aversion preferences in the CPT paradigm. This study further investigates risk measures implied by risky choice behaviour of CPT decision makers. This thesis also extends the analyses to general reference point and inverse S-shaped value functions. The …
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Considering User Preferences In Autonomous Agent Tasks
… changes. Human users have a variety of needs and preferences, and agents should be able to follow those preferences across a wide range of users. This thesis advances human-robot interaction by adapting autonomous agent tasks to user preferences from feedback. Our existing task architecture is …
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Developing and Coordinating Autonomous Agents for Efficient Electricity Markets
… of learning, optimization, mechanism design, and preference elicitation methods to coordinate electricity demand and supply while respecting the incentives of market participants. Specifically, we propose an approach where an autonomous agent acts on behalf of each household, coordinating with …
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Multi-objective optimization of next-generation aircraft collision avoidance software
… metric. We introduce an algorithm for preference elicitation that allows the designer to meaningfully define a utility function. We also discuss and implement a genetic algorithm that can perform multi-objective optimization directly. By appropriately applying these two methods, we show …
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Mitigating airport congestion : market mechanisms and airline response models
… iterative combinatorial auction, also called the preference elicitation problem, is a particularly hard problem, even more in the case of airlines in a slot auction. We propose a valuation model, called the Aggregated Integrated Airline Scheduling and Fleet Assignment Model, to help airlines …
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The Dyslexic User's Interface Support Tool (DUIST) - a framework for performance enhancing interface adaptation strategies for dyslexic computer users
… components and a dynamically adaptable interface preference elicitation mechanism. These models provide the foundation for the design of the Dyslexic User’s Interface Support Tool (DUIST) framework. Using a user centred design approach, the support framework is developed, tested and subsequently …
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Contributions to risk-informed decision making
… the ADP to an engineering scale. Rigorous preference elicitation using pairwise comparisons is addressed. A new method for judging numerical scales used in these comparisons is presented along with a new type of scale. This theory is tested by an experiment involving 64 individuals and it …
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Advanced Ordered Weighted Averaging Methods in Robust Optimization
… aggregating outcomes according to varying risk preferences, from risk-averse to risk-neutral, encompassing traditional robust approaches as special cases. This work is organized around three primary contributions that expand the application and understanding of OWA in robust optimization. The …
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Drift Diffusion Analyses Of Preferential Choice
… products of stochastic accumulation of noisy preferences in favor of different options. In a collection of three essays, we use sequential sampling models to formally describe preference accumulation processes underlying various choice problems. The models we propose are based on the drift …
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Personalized Algorithmic Recourse: Towards a human-centric approach for algorithmic contestability
… benefits, existing methods often neglect user preferences, personal constraints, and the dynamic nature of real-world environments, limiting their effectiveness and accessibility. This dissertation advances the field by introducing a human-centric framework for algorithmic contestability that …
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The Importance of Water-Based Ecosystem Services Derived from the Shoshone National Forest
… from the SNF. An understanding of stakeholder preference for those 34 ecosystem services was obtained through the use of a preference elicitation method called Q-methodology, which was administered to 96 stakeholders covering a broad range of interests. Factor analysis of the 96 surveys yielded …
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The Importance of Water-Based Ecosystem Services Derived from the Shoshone National Forest
… from the SNF. An understanding of stakeholder preference for those 34 ecosystem services was obtained through the use of a preference elicitation method called Q-methodology, which was administered to 96 stakeholders covering a broad range of interests. Factor analysis of the 96 surveys yielded …
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Knowledge and Ignorance in Reinforcement Learning
… the expert. It has been applied successfully to preference elicitation problem for computer games and robot manipulation. In a recent comparison of IRL approaches, BIRL was the best performing general IRL algorithm. I also extend this model to do a related task, Reward Shaping. In reward shaping, …
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Soil fertility management and economics of soybean in Ghana
… to pay for improved varieties and demand-side preferences of soybean traders in Ghana. The study specifically tests the following research hypotheses: (1) there is heterogeneity in the adoption of integrated soil fertility management (ISFM) packages for farmers who have experienced …
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Two Issues in Premise Plumbing: Contamination Intrusion at Service Line and Choosing Alternative Plumbing Material
… are formalized within the framework of the preference elicitation tools namely AHP (Analytical Hierarchical Process). Surveys are conducted with selected homeowners in pinhole leak prone area in Southeastern US Community to observe their revealed and stated preferences. Participants' overall …
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Utilising structured information for the representation and elicitation of user preferences
We make use of preferences every day. When we shop for a book or choose a meal; when we select music to listen to or which vacation destination to travel to on our summer holiday. Preferences are the key element in reasoning about these decisions. Therefore, the modeling and handling of preferences …
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