Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393407 | Information Sciences | 2013 | 17 Pages |
Abstract
In this paper, we present a novel technique for explaining the recommendations made by recommender systems based on collaborative filtering. Our technique is based on the visualisation of trees of items, and it provides users with a quick and attractive way of understanding the recommendations. This type of visualisation provides users with valuable information about the reliability of the recommendations and the importance of the ratings the user has made, which may help users to decide which recommendation to choose.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez,