Search results for "Information Retrieval"

Revealing the unique features of each individual’s muscle activation signatures

2020

AbstractThere is growing evidence that each individual has unique movement patterns, or signatures. The exact origin of these movement signatures however, remains unknown. We developed an approach that can identify individual muscle activation signatures during two locomotor tasks (walking and pedalling). A linear Support Vector Machine was used to classify 78 participants based on their electromyographic (EMG) patterns measured on eight lower limb muscles. To provide insight into decision making by the machine learning classification model, a Layer-wise Relevance Propagation (LRP) approach was implemented. This enabled the model predictions to be decomposed into relevance scores for each i…

Multiperspective Evaluation of Reference Models – Towards a Framework

2003

Within the information systems field, reference models have been known for many years. Despite the relevance of reference model quality, little research has been done on their systematic evaluation. Based on an analysis of prior work on reference model quality, we propose a framework for the multiperspective evaluation of reference models. The framework comprises 15 perspectives. Each perspective is discussed with respect to its strengths and limitations. As well, we provide examples of the types of research that have already been undertaken on each perspective.

A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data …

2013

Abstract Background Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summarized as a three step process: (1) choice of a distance function; (2) choice of a clustering algorithm; (3) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Results A procedure is proposed for the assessment of the discriminative ability of a distance functi…

The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability

2020

In this paper, we present and discuss a novel reliability metric to quantify the extent a ground truth, generated in multi-rater settings, as a reliable basis for the training and validation of machine learning predictive models. To define this metric, three dimensions are taken into account: agreement (that is, how much a group of raters mutually agree on a single case)

Vectors of Pairwise Item Preferences

2019

Neural embedding has been widely applied as an effective category of vectorization methods in real-world recommender systems. However, its exploration of users’ explicit feedback on items, to create good quality user and item vectors is still limited. Existing neural embedding methods only consider the items that are accessed by the users, but neglect the scenario when a user gives high or low rating to a particular item. In this paper, we propose Pref2Vec, a method to generate vector representations of pairwise item preferences, users and items, which can be directly utilized for machine learning tasks. Specifically, Pref2Vec considers users’ pairwise item preferences as elementary units. …

Men's doubles professional tennis on hard courts: Game structure and point ending characteristics

2019

Despite the great tradition and importance of the doubles game in professional tennis, no literature has analysed to date the performance of professional players. Therefore, the information on the characteristics of the game, or the tactics related to how the points are won in doubles play is scarce. The objective of this study has been to describe the basic characteristics of the structure of the doubles game, and to establish how the points finish in doubles professional tennis played on hard courts. Thirty-four ATP doubles matches played in 2018 were analysed, which included a total of 40 professional players. As per the game structure, the results showed that, in comparison to the singl…

On the rhetoric and relevance of IS research paradigms: a conceptual framework and some propositions

2003

This paper discusses the relevance of IS research with respect to the rhetoric associated with three IS research paradigms in use - positivism, constructivism/interpretivism and critical research. The discussion is framed in terms of the following dimensions: ontological, epistemological and methodological assumptions, relationship between theory and practice, and the role of the researcher in the research process. Based on this discussion, the authors propose a theoretical framework to study the relationship of the espoused assumptions of a researcher's perspective with the degree of relevance of their knowledge claims to various stakeholders. In conclusion, some key propositions are eluci…

@DMOs Promote Hotel Occupancy in Tourist Destinations: An Abstract

2017

Destination marketing organizations (DMOs) are aware of Twitter’s relevance, and they have now integrated Twitter into their own websites (Luna-Nevarez and Hyman 2012). Because of their growing practical importance, social media have become strong allies for tourism destinations. Social media are used by both tourists and providers (Leung et al. 2013), so research is needed to show social media’s direct contribution to the tourism sector. To improve our knowledge of the effect of social media in tourism, this study examines how DMOs’ use of Twitter affects hotel occupancy in tourist destinations. Our conceptual framework presents a model of the links between predictors of tourist occupancy …

Editorial 1/2018

2017

RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes

2015

Abstract Recommender systems are used to provide filtered information from a large amount of elements. They provide personalized recommendations on products or services to users. The recommendations are intended to provide interesting elements to users. Recommender systems can be developed using different techniques and algorithms where the selection of these techniques depends on the area in which they will be applied. This paper proposes a recommender system in the leisure domain, specifically in the movie showtimes domain. The system proposed is called RecomMetz, and it is a context-aware mobile recommender system based on Semantic Web technologies. In detail, a domain ontology primarily…