Web Information Systems and Technologies: 20th International Conference, WEBIST 2024, Porto, Portugal, November 17–19, 2024, Revised Selected Papers

Author:   Massimo Marchiori ,  Francisco García Peñalvo ,  Karl Aberer
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032255334


Pages:   386
Publication Date:   10 June 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Web Information Systems and Technologies: 20th International Conference, WEBIST 2024, Porto, Portugal, November 17–19, 2024, Revised Selected Papers


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Author:   Massimo Marchiori ,  Francisco García Peñalvo ,  Karl Aberer
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032255334


ISBN 10:   3032255333
Pages:   386
Publication Date:   10 June 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- Internet Technology : .- AI for Enhanced Public Services Gov.br. .- Low-Code Web Database Integration: Enhancing Workflow Efficiency and Collaboration with Web Components and Generic Web Services. .- Co-Creative Robotics: Foundations, Challenges, and Collaborative Networks as a Mitigation Approach. .- Impact of the Number of Items on the Response Rate of User Experience Surveys. .- Leveraging IoT Cybersecurity Through RED-Based Testing. .- Malicious Web Links Detection with Large Language Models. .- Web Intelligence and Semantic Web .- Efficient Fine-Tuning for Domain-Specific Language Models: SLIM-RAFT. .- Exploiting Subject and Sender Features for Learning to Predict Email Open Rates. .- Using LLMs for Semi-Automatic Handwritten Text Recognition and Elaboration. .- Personalized Preferences for Soft Querying JSON Datasets. .- An Ontology-Driven Framework for Adaptive and Transparent AI-Assisted Student Assessment. .- Social Network Analytics .- Beyond Employee Turnover Prediction: Generalized Data Spatial Dependencies. .- Confidence-Based Filtering for Enhancing Recommendation Quality. .- Data-Driven Discourse Analysis of Autism-Related Reddit Channels. .- Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches. .- HCI in Mobile Systems and Web Interfaces .- On the Measurement of Learner Experience in Online Tutorials. .- EEG-Based Engagement Prediction in e-Learning Environments Using Machine Learning Techniques.

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