Results 101 to 110 of about 3,847,333 (246)
Doubters are more convincing than advocates. The impact of user comments and ratings on credibility perceptions of false news stories on social media [PDF]
Jan P. Kluck+2 more
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Presentation at CESSDA Workshop: Persistent Identification within ...
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Whose story is it? Personalizing story generation by inferring author styles [PDF]
Personalization has become essential for improving user experience in interactive writing and educational applications, yet its potential in story generation remains largely unexplored. In this work, we propose a novel two-stage pipeline for personalized story generation. Our approach first infers an author's implicit story-writing characteristics from
arxiv
The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user comments. Most modern recommendation systems rely on manual tagging, relying on administrators to label
Richard Wu
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From User Stories to Models: A Machine Learning Empowered Automation
Takwa Kochbati+3 more
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The dataset contains user engagement and language-related information from two audio story-producing channels on YouTube. It offers a comparative view of live and mediated engagements, which includes information pertinent to the user's interaction of ...
Mohammad Harun Or Rashid+3 more
doaj
Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-based Approach [PDF]
Interactive systems are omnipresent today and the need to create graphical user interfaces (GUIs) is just as ubiquitous. For the elicitation and validation of requirements, GUI prototyping is a well-known and effective technique, typically employed after gathering initial user requirements represented in natural language (NL) (e.g., in the form of user
arxiv
Refining User Stories via Example Mapping: An Empirical Investigation | Online Appendix
Jasper Berends, Fabiano Dalpiaz
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D4.1 Bigdataocean Technology Requirements And User Stories
This deliverable is related to the activities to be performed under Tasks 3.1 and 3.2 and provides the user stories, as well as the technology and data protection requirements for the BigDataOcean platform, as envisioned by the different user groups and will flesh out the concept.
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