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Constructing Frameworks For Task-Optimized Visualizations, Ghulam Jilani Abdul Rahim Quadri
Constructing Frameworks For Task-Optimized Visualizations, Ghulam Jilani Abdul Rahim Quadri
USF Tampa Graduate Theses and Dissertations
Visualization is crucial in today’s data-driven world to augment and enhance human understanding and decision-making. Effective visualizations must support accuracy in visual task performance and expressive data communication. Effective visualization design depends on the visual channels used, chart types, or visual tasks. However, design choices and visual judgment are co-related, and effectiveness is not one-dimensional, leading to a significant need to understand the intersection of these factors to create optimized visualizations. Hence, constructing frameworks that consider both design decisions and the task being performed enables optimizing visualization design to maximize efficacy. This dissertation describes experiments, techniques, and user studies to …
Designing Targeted Mobile Advertising Campaigns, Kimia Keshanian
Designing Targeted Mobile Advertising Campaigns, Kimia Keshanian
USF Tampa Graduate Theses and Dissertations
With the proliferation of smart, handheld devices, there has been a multifold increase in the ability of firms to target and engage with customers through mobile advertising. Therefore, not surprisingly, mobile advertising campaigns have become an integral aspect of firms’ brand building activities, such as improving the awareness and overall visibility of firms' brands. In addition, retailers are increasingly using mobile advertising for targeted promotional activities that increase in-store visits and eventual sales conversions. However, in recent years, mobile or in general online advertising campaigns have been facing one major challenge and one major threat that can negatively impact the …
Essays On Empirical Operations Management In Retail Sales And Service, Youran Fu
Essays On Empirical Operations Management In Retail Sales And Service, Youran Fu
Publicly Accessible Penn Dissertations
This dissertation studies empirical operational problems in retail sales and service systems through three essays. We are in the middle of a remarkable rise in data analytics as available data, as well as the capability of artificial intelligence grows exponentially. This dissertation demonstrates how we can use traditional econometrics and cutting-edge machine learning models to provide data analytics for retail operations management. The first essay studies the value of unstructured social media text data in forecasting future fashion demands several months out, at a granular style-color level. Using recent advancement in natural language processing and machine learning techniques, we show …