An overview of consensus models for group decision-making and group recommender systems

TNT Tran, A Felfernig, VM Le - User Modeling and User-Adapted …, 2024 - Springer
Group decision-making processes can be supported by group recommender systems that
help groups of users obtain satisfying decision outcomes. These systems integrate a …

[HTML][HTML] A personality-aware group recommendation system based on pairwise preferences

R Abolghasemi, P Engelstad, E Herrera-Viedma… - Information …, 2022 - Elsevier
Human personality plays a crucial role in decision-making and it has paramount importance
when individuals negotiate with each other to reach a common group decision. Such …

Assessing top-preferences

CLA Clarke, A Vtyurina, MD Smucker - ACM Transactions on Information …, 2021 - dl.acm.org
Assessors make preference judgments faster and more consistently than graded judgments.
Preference judgments can also recognize distinctions between items that appear equivalent …

Diverse user preference elicitation with multi-armed bandits

J Parapar, F Radlinski - Proceedings of the 14th ACM international …, 2021 - dl.acm.org
Personalized recommender systems rely on knowledge of user preferences to produce
recommendations. While those preferences are often obtained from past user interactions …

Recommender systems in tourism

F Ricci - Handbook of e-Tourism, 2022 - Springer
Recommender systems (RSs) are information search and filtering tools that provide
suggestions for items to be of use to a user. They are now common in many Internet …

Can virtual assistants produce recommendations?

D Rafailidis, Y Manolopoulos - … of the 9th international conference on …, 2019 - dl.acm.org
Virtual assistants, also known as intelligent conversational systems such as Google's Virtual
Assistant and Apple's Siri, interact with human-like responses to users' queries and finish …

Preference-based offline evaluation

CLA Clarke, F Diaz, N Arabzadeh - … on Web Search and Data Mining, 2023 - dl.acm.org
A core step in production model research and development involves the offline evaluation of
a system before production deployment. Traditional offline evaluation of search …

Understanding political divisiveness using online participation data from the 2022 French and Brazilian presidential elections

C Navarrete, M Macedo, R Colley, J Zhang… - Nature Human …, 2024 - nature.com
Digital technologies can augment civic participation by facilitating the expression of detailed
political preferences. Yet, digital participation efforts often rely on methods optimized for …

The technological gap between virtual assistants and recommendation systems

D Rafailidis, Y Manolopoulos - arXiv preprint arXiv:1901.00431, 2018 - arxiv.org
Virtual assistants, also known as intelligent conversational systems such as Google's Virtual
Assistant and Apple's Siri, interact with human-like responses to users' queries and finish …

Learning Linear Utility Functions From Pairwise Comparison Queries

L Ge, B Juba, Y Vorobeychik - arXiv preprint arXiv:2405.02612, 2024 - arxiv.org
We study learnability of linear utility functions from pairwise comparison queries. In
particular, we consider two learning objectives. The first objective is to predict out-of-sample …