Search results for "Computer Science Application"
showing 10 items of 3998 documents
Software-as-a-Service Revenue Models
2013
This paper give an overview of the three main revenue models, focusing on the advantages and disadvantages for SaaS providers and their customers. Also identify the most effective revenue model for particular situations.
A Cooperative Coevolution Framework for Parallel Learning to Rank
2015
We propose CCRank, the first parallel framework for learning to rank based on evolutionary algorithms (EA), aiming to significantly improve learning efficiency while maintaining accuracy. CCRank is based on cooperative coevolution (CC), a divide-and-conquer framework that has demonstrated high promise in function optimization for problems with large search space and complex structures. Moreover, CC naturally allows parallelization of sub-solutions to the decomposed sub-problems, which can substantially boost learning efficiency. With CCRank, we investigate parallel CC in the context of learning to rank. We implement CCRank with three EA-based learning to rank algorithms for demonstration. E…
Shared and personal learning spaces: Challenges for pedagogical design
2012
Abstract The development of new tools for collaboration, such as social software, plays a crucial role in leisure time and work activities. The aim of this article is to summarize the research in the field of computer-supported collaborative learning (CSCL). This is done particularly from the perspective of the blurred line between individual (personal) and group-level (shared) learning that the use of the new tools has forced us to re-think. First, individual and group-level perspectives to learning are discussed to make sense of the major notions of how learning is understood in CSCL research. Second, based on this theoretical grounding, it will be further elaborated what this means to th…
User session level diverse reranking of search results
2018
Most Web search diversity approaches can be categorized as Document Level Diversification (DocLD), Topic Level Diversification (TopicLD) or Term Level Diversification (TermLD). DocLD selects the relevant documents with minimal content overlap to each other. It does not take the coverage of query subtopics into account. TopicLD solves this by modeling query subtopics explicitly. However, the automatic mining of query subtopics is difficult. TermLD tries to cover as many query topic terms as possible, which reduces the task of finding a query's subtopics into finding a set of representative topic terms. In this paper, we propose a novel User Session Level Diversification (UserLD) approach bas…
Understanding Social OER Environments—A Quantitative Study on Factors Influencing the Motivation to Share and Collaborate
2014
Social software environments are increasingly used for open education: teachers and learners share and collaborate in these environments. While there are various possibilities for the inclusion of such social functionalities for OER, many organizational, individual and technological challenges can hinder the motivation of teachers to share and collaborate in these environments. Current research cannot explain what barriers teachers face in social OER environments and how those challenges influence their motivation to engage in such environments. An exploratory factor analysis was used in the context of schools and higher education institutions to investigate the possible barriers to engagin…
Consumer value of camera-based mobile interaction with the real world
2013
Camera-based mobile interaction with the real world allows consumers to connect digital information with the real-world environment, and furthermore, to interact with real-world objects and places. To explore and understand the types of consumer value in the context of such consumer-level applications, we applied the critical incident technique to reflect actual use experiences from 107 application users with a recognized consumer value framework by Holbrook. The findings of the study suggest that at the current state value is heavily based on utilitarian efficiency and excellence. Although the applications enable a diverse value, they have yet to fulfill their potential in providing hedoni…
Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates
2014
Abstract Macroinvertebrates form an important functional component of aquatic ecosystems. Their ability to indicate various types of anthropogenic stressors is widely recognized which has made them an integral component of freshwater biomonitoring. The use of macroinvertebrates in biomonitoring is dependent on manual taxa identification which is currently a time-consuming and cost-intensive process conducted by highly trained taxonomical experts. Automated taxa identification of macroinvertebrates is a relatively recent research development. Previous studies have displayed great potential for solutions to this demanding data mining application. In this research we have a collection of 1350 …
Vertical Software Industry Evolution: The Impact of Software Costs and Limited Customer Base
2013
ContextSoftware systems are commonly used in a variety of industries as a means of automating organizational business processes. Initially, such software is often developed in-house by the vertical organizations possibly with the support of professional IT service providers; however, in many cases, internally developed software is eventually replaced with the software products provided by independent software vendors. These vendors often use license fees to recover their software development investments, as well as to gain some margin. However, if the vendor's customer base for a specific type of software is limited, then either the license fees are too high and hence the customers may pref…
Internet Adoption at the User Level: Empirical Evidence from The Gambia
2014
The unified theory of acceptance and use of technology (UTAUT) are used to investigate technology adoption. However, its application in Sub-Saharan Africa is rare and barely extended to the validation phase. In this paper, we introduce six new moderating factors for UTAUT core determinants and two other direct determinants of Internet adoption. The objective of this approach is to identify relevant elements of Internet adoption at the user level in The Gambia. Moderating factors are interacting terms used when the relationship between independent and dependent variable is weak, inconsistent or non-existent. A case study research design was employed and the data were gathered in Autumn of 20…
Career Transitions of eSports Athletes : A Proposal for a Research Framework
2017
eSports has boomed, the number of eSport athletes has grown rapidly, and many teenagers aspire to a have career in eSports. However, eSports athletes' careers involve many problems, such as career-entry difficulties, straining life habits, burnout, premature retirement, and post-career dilemmas. Despite a growing research interest in eSports, a void of knowledge exists regarding eSports athletes' career aspects. To address the gap in research, this paper aims to take an initial step by proposing a framework for eSports athletes' career transitions. The framework combines two approaches from sport psychology and sport literature. The framework can help eSports athletes, coaches, and other st…