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 47 for “"user preference"”.
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Customized ranking by user preference using LRR model
… that can rank all the entities given a specific user preference. Rank entities by user’s preference is an inevitable strategy of saving user’s time browsing and extracting useful information from Internet. Modern websites always rank these entities by a single numeric value computed by averaging …
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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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Leveraging multi-dimensional, multi-source knowledge for user preference modeling and event summarization in social media
This Dissertation was approved for publication on 2016-07-08 at 10:07.
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An architecture for user preference-based IoT service selection in cloud computing using mobile devices for smart campus
… and communicate within social environments and user context. Interconnected devices communicating to each other or to other machines on the network have increased the number of services. The concepts of discovery, brokerage, selection and reliability are important in dynamic environments. These …
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What are the factors associated with sanitation and hygiene behaviours, an investigation in Giong Trom district, Ben Tre province in the Mekong river Delta region of Vietnam?
… hygienic latrine ownership): Location, disgust, user preference, personal norm. • Hygienic latrine regular use: Gender, vulnerability perception, Instrumental beliefs, user preference, descriptive norm. • Handwashing with soap: Knowledge, user preference, disgust, volitional self-efficacy. • …
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Performance Enhancement of Unified Recommendation and Knowledge Graph Completion Learning by Relation Rotation
… rotational knowledge-enhanced translation-based user preference (RKTUP). RKTUP enhances the KGC task by incorporating rotational-based KGE techniques (RotatE or HRotatE) to model and infer diverse relation patterns. These relation patterns include symmetry/asymmetry, composition, and inversion. …
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Effects of voice coding and speech rate on a synthetic speech display in a telephone information system
… systems as defined by task performance and user ratings. Previous research used nonintegrated tasks such as transcription of phonetic syllables, words, or sentences to assess task performance or user preference differences. This study used a computer-driven telephone information system as a …
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A context-aware notification framework for developers of computer supported collaborative environments
Researchers have identified user presence, awareness, and a sense of community as important components of Computer Supported Collaborative Environments (CSCE) (Dourish & Bellotti, 1992; Erickson & Kellogg, 2003; Moody, 2000; Prinz, 1999). To support user actions and interactions sufficient to …
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Adaptive user interfaces for the Semantic Web
… schema. we believe that approaches for building user interfaces for data with a known structure are inadequate for the Semantic Web. In this thesis, we propose an adaptive user interface that categorises the Semantic Web data into groups and orders data according to user preference. Placing …
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Competitive Usability Studies of Virtual Environments for Shipbuilding
… environments to establish usability features and preferences provides a new tool to the interface designer. Benchmark scenarios were designed and executed to measure navigation, fault identification/repair, and spatial awareness through a sequence of choices and to provide user preference of one …
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Regularized algorithms for ranking, and manifold learning for related tasks
… regularized algorithms for ranking problems for user preferences and information retrieval problems. We utilize regularized manifold algorithms to appropriately incorporate data from related tasks. This investigation was inspired by personalization challenges in both user preference and …
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A Deep Learning-based Dynamic Demand Response Framework
… optimal and does not take into consideration any user preference. Furthermore, this does not provide any information related to demand flexibility beforehand. Under the broad concept of grid modernization, the focus is now on the applications of data analytics in grid operation to ensure an …
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Recommender System for Audio Recordings
… 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 company. In particular, we devise three recommendation engines using different data filtering methods – named …
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Location Aware Multi-criteria Recommender System for Intelligent Data Mining
… us today is to personalize services based on user preferences. In order to achieve this objective, the design of Recommender Systems (RSs), which are systems designed to aid the users through different decision-making processes by providing recommendations to them, have been an active area of …
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Axiomatic design of customizable automotive suspension systems
… providing the desired performance depending on user preference, vehicle speed, road conditions and maneuvering inputs. The design, fabrication and control of the customizable suspension prototype are discussed. The application of variable stiffness and variable ride-height suspension system to …
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Dynamic multi-target user interface design for grid based M-Services
Device heterogeneity and the diversity in user preferences are challenges, which must be addressed in order to achieve effective information communication in a mobile computing environment. Many model based approaches for the generation of user interfaces have been proposed. These approaches were …
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Evolutionary Search Techniques with Strong Heuristics for Multi-Objective Feature Selection in Software Product Lines
… of trading off competing objectives. If the user objective space is rich, then we should use optimizers that can fully exploit that richness. For example, this study configures software product lines (expressed as feature models) using various search-based software engineering methods. Our …
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Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network
… phones should be intelligent enough to match user’s unique needs and preferences to provide a truly personalised service tailored for the individual user. In the first part of this thesis, the importance and role of personalisation in future mobile networks is studied. This is followed, by an …
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The New Generation of Recommendation Agents (RAs 2.0): An Affordance Perspective
… (IS) research has predominantly focused on user perceptions and evaluations of traditional non-intelligent product-brokering recommendation agents (PRAs), supported by empirical studies on custom-built experimental RAs that heavily rely on explicit user preference elicitations. To address …
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MusiKeys: Exploring Auditory-Physical Feedback Replacement for Mid-Air Text-Entry
… since it received the highest levels of user preference among keyboards tested.
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