Persona-Aware Tips Generation

Tips, as a compacted and concise form of reviews, were paid less attention by researchers. In this paper, we investigate the task of tips generation by considering the `persona' information which captures the intrinsic language style of the users or the different characteristics of the product items. In order to exploit the persona information, we propose a framework based on adversarial variational auto-encoders (aVAE) for persona modeling from the historical tips and reviews of users and items. The latent variables from aVAE are regarded as persona embeddings. Besides representing persona using the latent embeddings, we design a persona memory for storing the persona related words for users and items. Pointer Network is used to retrieve persona wordings from the memory when generating tips. Moreover, the persona embeddings are used as latent factors by a rating prediction component to predict the sentiment of a user over an item. Finally, the persona embeddings and the sentiment information are incorporated into a recurrent neural networks based tips generation component. Extensive experimental results are reported and discussed to elaborate the peculiarities of our framework.Comment: Accepted to WWW'2019, 11 page

One-of-a-Kind Program Trains Next Generation Nurses

Racing hearts? You bet. Bodily fluids? Sometimes. Sweaty palms? Always. Linfield College alumni are helping strengthen the nursing workforce by creating real-world simulations for students

Neural Networks for Information Retrieval

Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new research topics and directions. Additionally, it is interesting to see what key insights into IR problems the new technologies are able to give us. The aim of this full-day tutorial is to give a clear overview of current tried-and-trusted neural methods in IR and how they benefit IR research. It covers key architectures, as well as the most promising future directions.Comment: Overview of full-day tutorial at SIGIR 201

Social Media in the Dental School Environment, Part B: Curricular Considerations

The goal of this article is to describe the broad curricular constructs surrounding teaching and learning about social media in dental education. This analysis takes into account timing, development, and assessment of the knowledge, skills, attitudes, and behaviors needed to effectively use social media tools as a contemporary dentist. Three developmental stages in a student’s path to becoming a competent professional are described: from undergraduate to dental student, from the classroom and preclinical simulation laboratory to the clinical setting, and from dental student to licensed practitioner. Considerations for developing the dental curriculum and suggestions for effective instruction at each stage are offered. In all three stages in the future dentist’s evolution, faculty members need to educate students about appropriate professional uses of social media. Faculty members should provide instruction on the beneficial aspects of this communication medium and help students recognize the potential pitfalls associated with its use. The authors provide guidelines for customizing instruction to complement each stage of development, recognizing that careful timing is not only important for optimal learning but can prevent inappropriate use of social media as students are introduced to novel situations

Principles for Designing Context-Aware Applications for Physical Activity Promotion

Mobile devices with embedded sensors have become commonplace, carried by billions of people worldwide. Their potential to influence positive health behaviors such as physical activity in people is just starting to be realized. Two critical ingredients, an accurate understanding of human behavior and use of that knowledge for building computational models, underpin all emerging behavior change applications. Early research prototypes suggest that such applications would facilitate people to make difficult decisions to manage their complex behaviors. However, the progress towards building real-world systems that support behavior change has been much slower than expected. The extreme diversity in real-world contextual conditions and user characteristics has prevented the conception of systems that scale and support end-users’ goals. We believe that solutions to the many challenges of designing context-aware systems for behavior change exist in three areas: building behavior models amenable to computational reasoning, designing better tools to improve our understanding of human behavior, and developing new applications that scale existing ways of achieving behavior change. With physical activity as its focus, this thesis addresses some crucial challenges that can move the field forward. Specifically, this thesis provides the notion of sweet spots, a phenomenological account of how people make and execute their physical activity plans. The key contribution of this concept is in its potential to improve the predictability of computational models supporting physical activity planning. To further improve our understanding of the dynamic nature of human behavior, we designed and built Heed, a low-cost, distributed and situated self-reporting device. Heed’s single-purpose and situated nature proved its use as the preferred device for self-reporting in many contexts. We finally present a crowdsourcing system that leverages expert knowledge to write personalized behavior change messages for large-scale context-aware applications.PHDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/144089/1/gparuthi_1.pd

Communication Strategy in a NGO

Predmetem diplomove prace je zpresneni komunikacni strategie nejvetsi evropske studentske organizace—Erasmus Student Network AISBL. Prace definuje status quo organizace a po jeho analyze navrhuje zpusob, jakym lze diky tvorbe obsahove strategie z pohledu ciloveho uzivatele (tvorbou person) zvysit zasah a zlepsit cileni obsahu pro jednotlive komunikacni kanaly.The subject of this Master’s thesis is refinement of the communication strategy of the biggest European student organisation—Erasmus Student Network AISBL. The thesis defines the status quo of the organisation and based upon its analysis it proposes an approach of creating content strategy from the point of view of the target groups (by creating personas), leading to strengthening the engagement and clarifying content targeting for individual communication channels.

[Book review] Populism, Media and Education: Challenging discrimination in contemporary digital societies

Published in January 2016, this book is based on a recent cross-European research project, ‘e-Engagement Against Violence’ (e-EAV), which ran from 2012 to 2014 and included research partners from seven EU member states. The project comprised two separate research strands, which are reflected in the structure of the book. First, a discursive approach known as Critical Frame Analysis was used in order to analyse populist communicative strategies online. For clarity, Ranieri sets out the definition of populism as used by the project as “an explorative concept to systematically analyse the ‘discursive strategies’ of ‘othering’ through which right-wing organisations construct and locate the ‘others’ ‘out of the people’ by making them objects of discrimination and exclusion” (Ranieri, 2016, p. 2). In contrast, the second part of the project involved an action research-based approach to design, implement and evaluate media literacy education practices, to improve young peoples’ awareness of the issues online and enhance civic engagement