Deep learning models for serendipity recommendations: a survey and new perspectives
Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …
with unexpected yet valuable information, contributing to heightened user satisfaction and …
Mapping ai avant-gardes in time: Posthumanism, transhumanism, genhumanism
J Brusseau - Discover Artificial Intelligence, 2023 - Springer
Three directions for the AI avant-garde are sketched against the background of time.
Posthumanism changes what we are, and belongs to the radical future. Transhumanism …
Posthumanism changes what we are, and belongs to the radical future. Transhumanism …
[PDF][PDF] Personalized Curiosity Engine (Pique): A Curiosity Inspiring Cognitive System for Student Directed Learning.
Pique is an AI-based system for student directed learning that is inspired by a cognitive
model of curiosity. Pique encourages self-directed learning by presenting a sequence of …
model of curiosity. Pique encourages self-directed learning by presenting a sequence of …
Pique: Recommending a personalized sequence of research papers to engage student curiosity
This paper describes Pique, a web-based recommendation system that applies word
embedding and a sequence generator to present students with a sequence of scientific …
embedding and a sequence generator to present students with a sequence of scientific …
A framework for exploring computational models of novelty in unstructured text
M Mohseni, ML Maher - Proceedings of the 6th International Conference …, 2022 - dl.acm.org
Novelty modeling in unstructured text data is a research topic within the Natural Language
Processing (NLP) Community. Effective novelty models can play a key role in providing …
Processing (NLP) Community. Effective novelty models can play a key role in providing …
Exploring AI-based Computational Models of Novelty to Encourage Curiosity in Student Learning
Innovative approaches to personalized and adaptive learning are being developed that
leverage advances in AI and access to large datasets. In this paper, we focus on …
leverage advances in AI and access to large datasets. In this paper, we focus on …
[HTML][HTML] Human-computer co-creativity: Designing, evaluating and modelling computational collaborators for poetry writing
A Kantosalo - 2019 - helda.helsinki.fi
Human-computer co-creativity examines creative collaboration between humans and
artificially intelligent computational agents. Human-computer co-creativity researchers …
artificially intelligent computational agents. Human-computer co-creativity researchers …
Explaining creative artifacts
Human creativity is often described as the mental process of combining associative
elements into a new form, but emerging computational creativity algorithms may not operate …
elements into a new form, but emerging computational creativity algorithms may not operate …
[PDF][PDF] Conceptual Models as a Basis for a Framework for Exploring Mental Models of Co-Creative AI
Recent generative AI tools have moved human-AI co-creativity into the forefront of
mainstream culture. Yet designing co-creative AI systems that effectively respond to human …
mainstream culture. Yet designing co-creative AI systems that effectively respond to human …
[PDF][PDF] COMPUTATIONAL MODELS OF NOVELTY BASED ON TOPIC MODELING
M Mohseni - 2023 - ninercommons.charlotte.edu
Novelty modeling in unstructured text data has been one of the research concentrations
within the Natural Language Processing (NLP) community over the past few years. Effective …
within the Natural Language Processing (NLP) community over the past few years. Effective …