Results 101 to 110 of about 3,847,333 (246)

PID Non-User Story - FSD

open access: yes, 2016
Presentation at CESSDA Workshop: Persistent Identification within ...
openaire   +2 more sources

Whose story is it? Personalizing story generation by inferring author styles [PDF]

open access: yesarXiv
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  

RecBERT: Semantic recommendation engine with large language model enhanced query segmentation for k-nearest neighbors ranking retrieval

open access: yesIntelligent and Converged Networks
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
doaj   +1 more source

From User Stories to Models: A Machine Learning Empowered Automation

open access: hybrid, 2021
Takwa Kochbati   +3 more
openalex   +1 more source

Live and mediated user engagements: A comparative dataset from two Bengali audio-story based youtube channelsMendeley Data

open access: yesData in Brief
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]

open access: yesarXiv
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  

D4.1 Bigdataocean Technology Requirements And User Stories

open access: yes, 2017
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.
openaire   +1 more source

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