Search results for "Intelligence"

Application of the Information Bottleneck method to discover user profiles in a Web store

2018

The paper deals with the problem of discovering groups of Web users with similar behavioral patterns on an e-commerce site. We introduce a novel approach to the unsupervised classification of user sessions, based on session attributes related to the user click-stream behavior, to gain insight into characteristics of various user profiles. The approach uses the agglomerative Information Bottleneck (IB) algorithm. Based on log data for a real online store, efficiency of the approach in terms of its ability to differentiate between buying and non-buying sessions was validated, indicating some possible practical applications of the our method. Experiments performed for a number of session sampl…

Teaching and Learning of Geometry as a process of Objectification: conditions and obstacles to argumentation and proof. The role of natural language,…

2021

This paper examines some examples (taken from research conducted over the years) that show students’ linguistic attitudes in geometry tasks. The examples are framed within the Theory of Objectification with reference to the notion of sensuous cognition, semiotic means of objectification and levels of generality. We show the struggle students live, at higher levels of generality, in intertwining natural language, specific language and the spontaneous use of geometrical figures, bound to perception and kinaesthetic activity. Within the networking paradigm, we coordinate the Theory of Objectification and Duval’s semio-cognitive approach to frame the interplay between the ideal and the material…

Automatic evaluation of information provider reliability and expertise

2013

Published version of an article in the journal: World Wide Web. Also available from the publisher at: http://dx.doi.org/10.1007/s11280-013-0249-x Q&A social media have gained a lot of attention during the recent years. People rely on these sites to obtain information due to a number of advantages they offer as compared to conventional sources of knowledge (e.g., asynchronous and convenient access). However, for the same question one may find highly contradicting answers, causing an ambiguity with respect to the correct information. This can be attributed to the presence of unreliable and/or non-expert users. These two attributes (reliability and expertise) significantly affect the quality o…

When more is less: The other side of artificial intelligence recommendation

2022

Based on consumers' preferences, AI (artificial intelligence) recommendation automatically filters information, which provokes scholars' debate. Supporters believe that by analyzing the consumers' preferences, AI recommendation enables consumers to choose products more quickly and with lower cost. Critics deem that consumers are more easily trapped in information cocoons because of the use of AI recommendation. This reduces the possibility of consumers contacting with a variety of commodities, thus lowering the consumer decision quality. Based on experiments, this paper discusses the moderating role of AI recommendation on the relationship of consumers' preferences and information cocoons. …

Using AI to personalise emotionally appealing advertisement

2019

Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards…

AnatomySketch : An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development

2021

AbstractThe development of medical image analysis algorithm is a complex process including the multiple sub-steps of model training, data visualization, human–computer interaction and graphical user interface (GUI) construction. To accelerate the development process, algorithm developers need a software tool to assist with all the sub-steps so that they can focus on the core function implementation. Especially, for the development of deep learning (DL) algorithms, a software tool supporting training data annotation and GUI construction is highly desired. In this work, we constructed AnatomySketch, an extensible open-source software platform with a friendly GUI and a flexible plugin interfac…

Analiza śledcza

2018

Emocionālā intelekta, darba nedrošības izjūtas un iesaistes darbā saistība

2020

Bakalaura darba pētījuma mērķis ir noskaidrot, vai pastāv saistība starp emocionālo intelektu, darba nedrošības izjūtu un iesaisti darbā. Pētījumā piedalījās 188 respondenti, kas bija dažāda līmeņa darbinieki no dažādām nozarēm. Respondenti bija vecumā no 24 – 68 gadiem. Emocionālais intelekts tika mērīts ar Emocionālā intelekta aptauju (The Schutte Self Report Emotional Intelligence Test, Schutte, 1998, kā minēts Schutte, Malouff & Bhullar, 2009), iesaiste darbā mērīta ar Utrehtas iesaistes darbā aptauja, īsā versija (Utrecht Work Engagement Scale – UWES-9, Schaufeli & Bakker, 2003) un nedrošības izjūta par darbu ar Nedrošības izjūtas par darbu aptauja (Job Insecurity Scale (O´Neill and Se…

The Relationship between Perceived Emotional Intelligence, Work Engagement, Job Satisfaction, and Burnout in Italian School Teachers: An Exploratory …

2020

The study investigates the relationship between perceived emotional intelligence, burnout, work engagement, and job satisfaction in 238 Italian school teachers. The mean age was 50 years, ranged from 26 to 66 (SD = 9.16). The research protocol included a demographics data sheet, the Wong and Law Emotional Intelligence Scale (WLEIS; Wong & Law, 2002), the Copenhagen Burnout Inventory (CBI; Kristensen, Borritz, Villadsen, & Christensen, 2005), the Utrecht Work Engagement Scale (UWES; Schaufeli, Bakker, & Salanova, 2006), and the Organizational Satisfaction Scale (QSO; Cortese, 2001). Several international studies already demonstrated an association among these variable…

Teachers’ Emotional Intelligence, Burnout, Work Engagement, and Self-Efficacy during COVID-19 Lockdown

2023

Teachers’ psychological well-being is a crucial aspect that influences learning in a classroom climate. The aim of the study was to investigate teachers’ emotional intelligence, burnout, work engagement, and self-efficacy in times of remote teaching during COVID-19 lockdown. A sample of 65 teachers (Mage = 50.49), from early childhood through lower secondary education, were recruited during a period of school closure to answer self-report questionnaires and other measures assessing study variables. Results showed that during the COVID-19 pandemic, teachers reported higher levels of burnout and lower levels of self-esteem due to multiple challenges related to remote teaching and …