research
∙
07/29/2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Explanations have gained an increasing level of interest in the AI and M...
share
research
∙
03/28/2022
User Driven Model Adjustment via Boolean Rule Explanations
AI solutions are heavily dependant on the quality and accuracy of the in...
research
∙
01/04/2022
FROTE: Feedback Rule-Driven Oversampling for Editing Models
Machine learning models may involve decision boundaries that change over...
research
∙
06/15/2020
User Profiling from Reviews for Accurate Time-Based Recommendations
Recommender systems are a valuable way to engage users in a system, incr...
research
∙
10/03/2019
IRF: Interactive Recommendation through Dialogue
Recent research focuses beyond recommendation accuracy, towards human fa...
research
∙
04/16/2019
An Evaluation Framework for Interactive Recommender System
Traditional recommender systems present a relatively static list of reco...
research
∙
02/02/2019
Generating Dialogue Agents via Automated Planning
Dialogue systems have many applications such as customer support or ques...
research
∙
06/01/2017
