Advertisement
Published in:
2014 | OriginalPaper | Chapter
Prediction of New User Preferences with Filtering Techniques
Author : Sylvia Encheva
Published in: Future Information Technology
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Collaborative filtering techniques are often used to predict the unknown preferences of a new user by applying rules derived from the known preferences of a group of users. In the literature users having high correlation with a large number of other users are referred to as ’white sheeps’, while those that express preferences which do not fall into any known to the system group are called ’grey sheeps’. Thus predictions for the latter type users are often inaccurate. To overcome this problem we propose application of residuated lattices.