Concept-based Recommendations for Internet Advertisement

TL;DR

This paper proposes an interpretable recommendation method for internet advertising using Formal Concept Analysis (FCA) and association rules to identify potentially interesting advertising terms based on competitors' choices.

Contribution

It introduces a novel approach combining FCA and association rules to generate transparent advertising term recommendations.

Findings

Effective identification of relevant advertising terms

Improved interpretability of recommendations

Potential to enhance advertising strategies

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.