Video Recommendation Using Social Network Analysis and User Viewing Patterns

With the meteoric rise of video-on-demand (VOD) platforms, users face the challenge of sifting through an expansive sea of content to uncover shows that closely match their preferences. To address this information overload dilemma, VOD services have increasingly incorporated recommender systems powered by algorithms that analyze user behavior and suggest personalized content. However, a majority of existing recommender systems depend on explicit user feedback in the form of ratings and reviews, which can be difficult and time-consuming to collect at scale. This presents a key research gap, as leveraging users' implicit feedback patterns could provide an alternative avenue for building effective video recommendation models, circumventing the need for explicit ratings. However, prior literature lacks sufficient exploration into implicit feedback-based recommender systems, especially in the context of modeling video viewing behavior. Therefore, this paper aims to bridge this research gap by proposing a novel video recommendation technique that relies solely on users' implicit feedback in the form of their content viewing percentages

A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available

A Statistical Approach to the Alignment of fMRI Data

Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods

Generalized averaged Gaussian quadrature and applications

A simple numerical method for constructing the optimal generalized averaged Gaussian quadrature formulas will be presented. These formulas exist in many cases in which real positive GaussKronrod formulas do not exist, and can be used as an adequate alternative in order to estimate the error of a Gaussian rule. We also investigate the conditions under which the optimal averaged Gaussian quadrature formulas and their truncated variants are internal

MS FT-2-2 7 Orthogonal polynomials and quadrature: Theory, computation, and applications

Quadrature rules find many applications in science and engineering. Their analysis is a classical area of applied mathematics and continues to attract considerable attention. This seminar brings together speakers with expertise in a large variety of quadrature rules. It is the aim of the seminar to provide an overview of recent developments in the analysis of quadrature rules. The computation of error estimates and novel applications also are described

The Importance of Water-Based Ecosystem Services Derived from the Shoshone National Forest

There is a wide range of goods and services being provided to humans by water resources (e.g. hydropower and recreation), but there is also a diversity of stakeholders that require or desire these benefits, also known as water-based ecosystem services, for everyday life. Land managers working for the United States Department of Agriculture Forest Service in the semi-arid Rocky Mountain Region are tasked with the difficult job of managing scarce water resources in the face of competing human pressures and natural forces (e.g. climate change). Water management decisions on public lands can potentially impact the availability of a wide range of benefits derived from water to a wide range of stakeholders. This project aimed to inform policy-makers and land managers about the range of benefits people derive from water within and flowing from the Shoshone National Forest (SNF), and the importance of those water benefits to stakeholders in northwest Wyoming. Additionally, this project aimed to understand the perceptions of stakeholders regarding the threat of climate change, and other factors, to their ability to receive certain water-based ecosystem services. The use of literature review, focus groups, and pilot tests helped to identify 34 water-based ecosystem services being derived from the SNF. An understanding of stakeholder preference for those 34 ecosystem services was obtained through the use of a preference elicitation method called Q-methodology, which was administered to 96 stakeholders covering a broad range of interests. Factor analysis of the 96 surveys yielded four major perspectives that explain, in a nuanced fashion, 48% of the study variance. The four viewpoints were named the environmental perspective, agricultural perspective, Native American perspective, and recreation perspective. The preferences for each of the four viewpoints with regard to water-based ecosystem services are presented holistically, however, each of the viewpoints is partly defined by two ‘most important’ ecosystem services. Those ‘most important’ water-based ecosystem services were water quality (‘most important’ to two different viewpoints), household/municipal use (‘most important’ to two different viewpoints), Native American cultural and spiritual values, commercial irrigation, river-based fishing, and biodiversity conservation. The threat of climate change to the ability of stakeholders to receive their most important water-based ecosystem services was acknowledged by the majority of stakeholders but, in many cases, there was skepticism that climate change is anything more than a natural trend. Additionally, stakeholders were concerned about water quality, federal and state government management and regulations (e.g. reservoirs and in-stream flow management), and other competing uses impacting their ability to receive their most important ecosystem services