@inproceedings{08fd9fb0acfe4e0087ec475384942370,
title = "Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems",
abstract = "Users{\textquoteright} critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system{\textquoteright}s accuracy in recommendations that may better interest the user. In this paper, we present a novel approach to assist users in making critiques according to their stated and potentially hidden preferences. This approach is derived from our previous work on critique generation and organization techniques. Based on a collection of real user data, we conducted an experiment to compare our approach with three existing critique generation systems. Results show that our preference-based organization interface achieves the highest level of prediction accuracy in suggesting users{\textquoteright} intended critiques and recommendation accuracy in locating users{\textquoteright} target choices. In addition, it can potentially most efficiently save real users{\textquoteright} interaction effort in decision making.",
keywords = "Recommender systems, User preference models, Critique generation, Organization, Decision support, Experiment",
author = "Li Chen and Pearl Pu",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.; 11th International Conference on User Modeling, UM 2007 ; Conference date: 25-06-2007 Through 29-06-2007",
year = "2007",
month = jun,
day = "15",
doi = "10.1007/978-3-540-73078-1\_11",
language = "English",
isbn = "9783540730774",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "77--86",
editor = "Cristina Conati and Kathleen McCoy and Georgios Paliouras",
booktitle = "User Modeling 2007",
address = "Germany",
edition = "1st",
url = "https://link.springer.com/book/10.1007/978-3-540-73078-1\#publish-with-us",
}
SDG 9 Industry, Innovation, and Infrastructure