JNET: Learning User Representations via Joint Network Embedding and Topic Embedding

User representation learning is vital to capture diverse user preferences, while it is also challenging as user intents are latent and scattered among complex and different modalities of user-generated data, thus, not directly measurable. Inspired by the concept of user schema in social psychology, we take a new perspective to perform user representation learning by constructing a shared latent space to capture the dependency among different modalities of user-generated data. Both users and topics are embedded to the same space to encode users' social connections and text content, to facilitate joint modeling of different modalities, via a probabilistic generative framework. We evaluated the proposed solution on large collections of Yelp reviews and StackOverflow discussion posts, with their associated network structures. The proposed model outperformed several state-of-the-art topic modeling based user models with better predictive power in unseen documents, and state-of-the-art network embedding based user models with improved link prediction quality in unseen nodes. The learnt user representations are also proved to be useful in content recommendation, e.g., expert finding in StackOverflow

Directional Multivariate Ranking

User-provided multi-aspect evaluations manifest users' detailed feedback on the recommended items and enable fine-grained understanding of their preferences. Extensive studies have shown that modeling such data greatly improves the effectiveness and explainability of the recommendations. However, as ranking is essential in recommendation, there is no principled solution yet for collectively generating multiple item rankings over different aspects. In this work, we propose a directional multi-aspect ranking criterion to enable a holistic ranking of items with respect to multiple aspects. Specifically, we view multi-aspect evaluation as an integral effort from a user that forms a vector of his/her preferences over aspects. Our key insight is that the direction of the difference vector between two multi-aspect preference vectors reveals the pairwise order of comparison. Hence, it is necessary for a multi-aspect ranking criterion to preserve the observed directions from such pairwise comparisons. We further derive a complete solution for the multi-aspect ranking problem based on a probabilistic multivariate tensor factorization model. Comprehensive experimental analysis on a large TripAdvisor multi-aspect rating dataset and a Yelp review text dataset confirms the effectiveness of our solution.Comment: Accepted as a full research paper in KDD'2

Probabilistic Personalized Recommendation Models For Heterogeneous Social Data

Content recommendation has risen to a new dimension with the advent of platforms like Twitter, Facebook, FriendFeed, Dailybooth, and Instagram. Although this uproar of data has provided us with a goldmine of real-world information, the problem of information overload has become a major barrier in developing predictive models. Therefore, the objective of this The- sis is to propose various recommendation, prediction and information retrieval models that are capable of leveraging such vast heterogeneous content. More specifically, this Thesis focuses on proposing models based on probabilistic generative frameworks for the following tasks: (a) recommending backers and projects in Kickstarter crowdfunding domain and (b) point of interest recommendation in Foursquare. Through comprehensive set of experiments over a variety of datasets, we show that our models are capable of providing practically useful results for recommendation and information retrieval tasks

Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes

Internet is quickly becoming the survey mode of choice for stated preference (SP) surveys in environmental economics. However, this choice is being made with relatively little consideration of its potential influence on survey results. This paper reviews the theory and emerging evidence of mode effects in the survey methodology and SP literatures, summarizes the findings, and points out implications for Internet SP practice and research. The SP studies that compare Internet with other modes do generally not find substantial difference. The majority of welfare estimates are equal; or somewhat lower for the Internet surveys. Further, there is no clear evidence of substantially lower quality or validity of Internet responses. However, the degree of experimental control is often low in comparative studies across survey modes, and they often confound measurement and sample composition effects. Internet offers a huge potential for experimentation and innovation in SP research, but when used to derive reliable welfare estimates for policy assessment, issues like representation and nonresponse bias for different Internet panels should receive more attention.Internet; survey mode; contingent valuation; stated preferences

Music Therapy Interventions for End-of-Life Care: An Integrative Literature Review

Music therapy plays an integral role in end-of-life care, positively impacting emotional, social, physical, cognitive and spiritual health. The purpose of this integrative review was to collect and compile studies (N= 55) between 2000 and 2016 on the topic of music therapy interventions in end-of-life care, in order to provide both music therapy students and therapists access to the most recent and commonly used music therapy interventions and goals. Results of the integrative literature review indicate that the most common intervention for all age groups in end-of-life care is songwriting and composition, with the most common therapeutic goal being emotional expression and catharsis. Details of music therapy interventions, goals and song details are written in tables for readers to refer to as a guide. Further research is needed with each specific age group and setting, in order to provide refined results beyond what is revealed through this review. Additionally, evaluating therapeutic outcomes of the interventions and goals obtained through this integrative review is another step that can be taken for future research

Connected Learning In School: Making Identities In Youth-Led Affinity Spaces

This visual ethnographic account explores how students at an urban high school cultivated their own youth-led affinity spaces: a youth activism group, a dance team, and a film club. My research examines how and why these youth-led spaces emerged, the kinds of making students did within the spaces, and how their identities shifted or changed over time both within and outside of these spaces. My research responds to discourses that seek to reimagine school through interest-driven learning. The Maker Movement and Connected Learning are two such movements that argue that students’ interests should be an integral part of their school learning experiences. These movements argue for students\u27 learning and participation in school to be active and authentic, to build on students’ out of school literacies, and to position students as creative agents. In urban districts, students are often subjected to test prep and didactic approaches that limit how youth express and demonstrate learning and are disconnected from their own interests or affinities. In creating youth-led affinity spaces, students were exercising agency, engaging in leadership, and pursuing their interests. Thus far, there has not been an examination of interest-driven learning, schooling, and identity. My examination of youth-making can create opportunities for youth to cultivate dialogic relationships with peers and adults, draw on their out of school literacies and media knowledge to influence their making, and perform new identities – within the institutional boundary of school

The Piratical Ethos: Textual Activity and Intellectual Property in Digital Environments

The Piratical Ethos: Textual Activity and Intellectual Property in Digital Environments examines the definition, function, and application of intellectual property in contexts of electronically mediated social production. With a focus on immaterial production - or the forms of coordinated social activity employed to produce knowledge and information in the networked information economy - this project ultimately aims to demonstrate how current intellectual property paradigms must be rearticulated for an age of digital (re)production. By considering the themes of Piracy , Intellectual Property , and Distributed Social Production this dissertation provides an overview of the current state of peer production and intellectual property in the Humanities and Writing Studies. Next, this project develops and implements a communicational-mediational research methodology to theorize how both discursive and material data lend themselves to a more nuanced understanding of the ways that technologies of communication and coordination effect attitudes toward intellectual property. After establishing both a methodology and an interdisciplinary grounding for the themes of the work, this dissertation presents a grounded theoretic analysis of piratical discourse to reveal what I call the piratical ethos , or the guiding attitudes of individuals actively contesting intellectual property in piratical acts of distributed social production. Congruently, this work also investigates the material dynamics of piratical activity by analyzing the cultural-historical activity systems wherein piratical subjectivity emerges, emphasizing the agenic capacity of interfacial technologies at the scales of user and system. Exploring the attitudes of piratical subjects and the technological genres that mediate piratical activity, I contend that the conclusions drawn from The Piratical Ethos can assist Writing Studies researchers with developing novel methodologies to study the intersections of intellectual property and distributed social production in digital worlds

The Sociolinguistics of Learning: Attitudinal Patterns and Implications (A Case Study of Moroccan Diglossia)

The present dissertation is a study of the attitudinal patterns and educational implications particular to the diglossic relationship between MA and CA. This relationship is characterised by the sole implementation of CA and the exclusion of MA from the formal learning process. This is particularly significant if we consider that only MA is a naturally acquired language