4,311 research outputs found
Covering Covers: Characterization Of Visual Elements Regarding Sleeves
No full textThe aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information System
A Nutritional Analysis of Project Angel Food's Home-Delivered Meal Program
No full textThe purpose of this project is to evaluate the nutritional quality of the 8-week cycle menu utilized by Project Angel Food for the production of home-delivered meals to HIV-infected individuals. Specific nutrient and food group requirements must be met in order to qualify for Ryan White Act funds. The nutrient content of all foods provided was analyzed using The Food Processor SQL by ESHA Research. Food group contributions were calculated manually, as the ability of The Food Processor to accurately determine food group servings for mixed dishes is limited. This menu analysis showed that Project Angel Food is in compliance with most of the nutrition requirements and has identified areas for improvement.HIV, Menu Analysis, NutritionThesis (M.S.) California State University, Los Angeles, 2011Committee members: Pera Jambazian, Laura Calderon, Nazareth Khodiguia
Trait Analysis to Facilitate Children’s Books Recommender Systems: Extracting perspective and sentiment traits from book fulltext and descriptions
No full textRecommender 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 emotion at different ages. We also theorize that the perspec- tive that a book is told from varies depending on target audience age. In this paper we examine traits that could be used for recommendation instead of review data. By examining both the description of books as well as the fulltext we obtain a set of traits relating to perspective and sentiment. Com- paring these traits among books written for differ- ent age groups we observe a subset of these traits that show potential significance in age categoriza- tion. By performing a combination of empirical examination and significance testing we find that both book descriptions and book fulltext contain perspective and sentiment traits that show signifi- cance when comparing books written for different ages. Because traits obtained from book fulltext present a higher quantity of significant instances when compared those obtained from descriptions, we conclude that analysing fulltext for traits shows promise when considering a recommender system that aims to use book content.CSE3000 Research ProjectComputer Science and Engineerin
Metadata, the undiscovered treasure box for book recommender systems for children: What traits can be inferred from book’s descriptive and structural metadata which could support the designers of books recommender systems for children?
No full textThis 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 such as the chapters’ count. We rely on data from two different data sets, Goodreads and Wikisource.The findings of this study, such as the fact that there is a relationship between the number of pages and the reader’s age, may have an impact on the design of recommender systems for children’s books.This is all with the respect to the fact that children are a vulnerable audience, making it challenging to not infringe on their privacy while gathering infor- mation that can be used in statistical experiments in many fields such as education and health.CSE3000 Research ProjectComputer Science and Engineerin
On using Directional Information for Parameter Space Decomposition in Ellipse Detection
No full textIn this paper we use the parametric polar representation to extend the application of edge directional information from circle to ellipse extraction. As a result we obtain a mapping which decomposes the parameter space required for ellipse extraction into two independent sub-spaces and one final histogram accumulator. The mapping includes the tangent of the angle of the first and second directional derivatives. These tangents are computed by considering edge direction at two border points. We show that the use of gradient information for parameter space decomposition avoids the intensive point labelling imposed by geometric constraints used by other approaches
Covering Covers: Characterization Of Visual Elements Regarding Sleeves
No full textThe 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 older, we divide our analysis into five age groups. We conduct a series of experiments in which we analyze three distinct aspects of covers: the visual attributes, visible objects, and implied story. Our results show that visual attributes play an important role in determining the appeal of a book. We also find that objects and themes present on a book cover vary between age groups. By understanding the elements that contribute to the appeal of children's book covers, we hope to improve recommendations for young readers and encourage a lifelong love of reading.CSE3000 Research ProjectComputer Science and Engineerin
Generation of Personalized E-mail Subject Lines
No full textThe online presence of e-commerce platforms, publishers, and other businesses has been increasing with the rise of internet use. These companies regularly expose their (potential) customers to massive amounts of media and products. It is vital for these companies to elicit interactions from these individuals in order to sell products or subscriptions. Engagement with online items, such as articles or products, are often measured using clicks. A well-known and proven method for improving online interactions is the use of clickbait. However, this practice is known to degrade the reputation of businesses. Widespread use of obvious clickbait is, therefore, not a sustainable solution for reputable companies. Research into alternative solutions to foster engagement is mostly taken from the perspective of the consumer. These solutions mainly involve various recommender algorithms that match consumers with items and articles that interest them. However, research from the perspective of the producer is extremely limited. The producer of the content has different incentives than the consumer of the content. Their main goal is to elicit an interaction from the consumer, while the consumers' main goal is to find something that interests them. In this thesis, inspired by the work on personalization for consumers, we make the producer the main stakeholder. We explore whether the personalization of subject lines for groups of users with similar behaviour patterns and interests improves the engagement of consumers on newsletters. With the digital marketing company Basedriver as the use case, we personalized the headlines of marketing e-mails in newsletters and performed experiments to analyse the effectiveness of our technique. We hypothesise that e-mail marketeers can improve engagement by personalizing subject lines to address the personal interests of consumers. By looking at the content of articles previously clicked by consumers, they can be grouped into user groups with similar interests. Information on the interests of users from these groups can then be leveraged to generate a subject line addressing the interests of the group. The historic customer behaviour data and platform used for the validation of our new personalization strategy was provided by Basedriver and Hearst, who assisted in the research. Basedriver also provides the platform for collecting the data from the experiment.Computer Science and Engineerin
A Nutritional Analysis of Project Angel Food's Home-Delivered Meal Program
No full textThesis (M.S.)
California State University, Los Angeles, 2011Committee members: Pera Jambazian, Laura Calderon, Nazareth KhodiguianHIV, Menu Analysis, NutritionThe purpose of this project is to evaluate the nutritional quality of the 8-week cycle menu utilized by Project Angel Food for the production of home-delivered meals to HIV-infected individuals. Specific nutrient and food group requirements must be met in order to qualify for Ryan White Act funds. The nutrient content of all foods provided was analyzed using The Food Processor SQL by ESHA Research. Food group contributions were calculated manually, as the ability of The Food Processor to accurately determine food group servings for mixed dishes is limited. This menu analysis showed that Project Angel Food is in compliance with most of the nutrition requirements and has identified areas for improvement
Large-scale patterns in turbulent Rayleigh-Bénard convection in very large aspect ratio cells
No full textLarge-scale patterns, which are well-known from the spiral defect chaos regime of thermal convection at Rayleigh numbers Ra 105. They are uncovered when the turbulent fields are averaged in time and turbulent fluctuations are thus removed. We apply the Boussinesq closure to calculate turbulent viscosities and diffusivities, respectively. The resulting turbulent Rayleigh number Ra_, that describes the convection of the mean patterns, is indeed in the spiral defect chaos range. Interestingly, the turbulent Prandtl numbers are smaller than one with 0:2 _ Pr_ _ 0:4 for Prandtl numbers 0:7 _ Pr _ 10. Finally, we demonstrate that these mean flow patterns are robust to an additional finite-amplitude side wall-forcing when the level of turbulent fluctuations in the flow is sufficiently high
The maternal plant based diet: nutrition education material for healthy pregnancy outcomes
No full textPregnancy and lactation are two of the most important and influential times in a person's life. Numerous studies have found links between maternal diet and risk of disease later in life. Educating women about the importance of proper nutrition has been a successful strategy for getting them to make healthful choices throughout pregnancy. With the growing trend in vegan diets and multiparous pregnancies in the United States, it is necessaary for these specific populations to be included in nutrition education. The purpose of this project is to provide nutrition education for women to positively affect food choices throughout pregnancy. With the overwhelming nature of new pregnancy the best possible means for transmitting this information is through written material. Guidebooks specific to each woman's needs are intended to be given out at their first obstetric visit for maximum effectiveness and used as a resource throughout pregnancy and lactation.Thesis (M.S.) California State University, Los Angeles, 2012Committee members: Pera Jambazian, Mandy Hillstrom, Nazareth KhodiguianMaternal Nutrition, Nutrition Education, Plant Based Diet, Pregnancy, Vega
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