As part of a larger mixed-methods research project investigating the influence of contextual factors on community reintegration (CR), this qualitative study sought to understand the subjective experiences of injured servicemembers and their perception of how contextual factors influenced their CR. More specifically, this article addresses how the influences of contextual factors differ between ...

Context-Aware Recommender System (CARS) models are trained on datasets of context-dependent user preferences (ratings and context information). Since the number of context-dependent preferences increases exponentially with the number of contextual factors, and certain contextual information is still hard to acquire automatically (e.g., the user’s mood or for whom the user is buying the searched...

In this paper, we develop and evaluate several probabilistic models of user click-through behavior that are appropriate for modeling the click-through rates of items that are presented to the user in a list. Potential applications include modeling the click-through rates of search results from a search engine, items ranked by a recommendation system, and search advertisements returned by a sear...

Expertise seeking research studies how people search for expertise and choose whom to contact in the context of a specific task. An important outcome are models that identify factors that influence expert finding. Expertise retrieval addresses the same problem, expert finding, but from a system-centered perspective. The main focus has been on developing content-based algorithms similar to docum...

Expertise-seeking research studies how people search for expertise and choose whom to contact in the context of a specific task. An important outcome are models that identify factors that influence expert finding. Expertise retrieval addresses the same problem, expert finding, but from a system-centered perspective.The main focus has been on developing content-based algorithms similar to docume...

This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavior during information-seeking activities. We focus particular attention on explaining how PCA can be used to assist in the discovery of contextual factors. As a demonstration of the utility of PCA, we employ it in an Implicit Rel...

This paper presents configuration to the contextual perspective specifically the context of change when implementing electronic government. Literature investigation has been indicated that change leaders and planners need to rethink on the traditional contextual theory with its classic dichotomy to the context of change as internal and external levels. An empirical case study will be applied to...

Although prior literature has explored the important process of identity communication in faceto-face settings, significant changes in how work is accomplished in modern organizations require the development of new theory. Building on extensive identity research in non-virtual settings, this paper develops and justifies a new theoretical model that better explains the antecedents of virtual ide...

We introduce a method for content-based advertisement selection for personal blog pages, based on combining multiple representations of the blog. The core idea behind the method is that personal blogs represent individuals, whose interests can be modeled by the language used in the blog itself combined with the language used in related sources of information, such as comments posted to a blog p...

UNLABELLED Adolescent depression is a growing public health concern with an increased risk of negative health outcomes, including suicide. The use of antidepressants and psychotherapy has not halted its increasing prevalence, and there is a critical need for effective prevention and treatment. We reviewed the neuroscience of adolescent depression, with a focus on the neurocircuitry of sustained...