Concept-based Recommendations for Internet Advertisement
Artificial Intelligence
2013-12-03 v1 Computers and Society
Information Retrieval
Machine Learning
Abstract
The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. A part of them can be recommended as future advertising terms to the company. The goal of this work is to propose better interpretable recommendations based on FCA and association rules.
Keywords
Cite
@article{arxiv.0906.4982,
title = {Concept-based Recommendations for Internet Advertisement},
author = {Dmitry I. Ignatov and Sergei O. Kuznetsov},
journal= {arXiv preprint arXiv:0906.4982},
year = {2013}
}
Comments
D.I.Ignatov, S.O. Kuznetsov. Concept-based Recommendations for Internet Advertisement//In proceedings of The Sixth International Conference Concept Lattices and Their Applications (CLA'08), Olomouc, Czech Republic, 2008 ISBN 978-80-244-2111-7