HyperBrain: Human-inspired Hypermedia Guidance using a Large Language Model
HyperBrain uses a large language model to select hypermedia controls while navigating toward a natural-language user goal.
doi
10.1145/3603163.3609077
isbn
979-8-4007-0232-7
name
HyperBrain: Human-inspired Hypermedia Guidance using a Large Language Model
source
pdf
acm_url
https://dl.acm.org/doi/10.1145/3603163.3609077
authors
Danai Vachtsevanou, Jérémy Lemee, Raffael Rot, Simon Mayer, Andrei Ciortea, Ganesh Ramanathan
doi_url
https://doi.org/10.1145/3603163.3609077
license
© Copyright held by the owner/author(s).
summary
HyperBrain uses a large language model to select hypermedia controls while navigating toward a natural-language user goal.
published
2023-09-04
conference
HT '23: 34th ACM Conference on Hypertext and Social Media, Rome, Italy, September 4-8, 2023
open_access
false
acm_html_url
https://dl.acm.org/doi/full/10.1145/3603163.3609077
displayAuthor
Danai Vachtsevanou, Jérémy Lemee, Raffael Rot, Simon Mayer, Andrei Ciortea, Ganesh Ramanathan
displayPublishTime
2023-09-04