In recommender systems and advertising platforms, marketers always want to deliver
products, contents, or advertisements to potential audiences over media channels such as …

Logistics audience expansion, the process for logistics companies to find potential long-term
customers, is one of the most important tasks for business growth. However, existing …

Recently, deep learning models play more and more important roles in contents
recommender systems. However, although the performance of recommendations is greatly …

This paper proposes a methodological framework that extends the advantages of behavioral
targeting while preserving the privacy of the individual. Instead of profiling individual users …

Online social network advertising platforms, such as that provided by LinkedIn, generally
allow marketers to specify targeting options so that their ads appear to a desired …

While personalized recommendations systems have become increasingly popular, ensuring
user data protection remains a top concern in the development of these learning systems. A …

Digital advertising is performed in multiple ways, for eg, contextual, display-based and
search-based advertising. Across these avenues, the primary goal of the advertiser is to …

Audience Look-alike Targeting is an online advertising technique in which an advertiser
specifies a set of seed customers and tasks the advertising platform with finding an …

Lookalike models are based on the assumption that user similarity plays an important role
towards product selling and enhancing the existing advertising campaigns from a very large …

Recently, in order to take a preemptive opportunity in the mobile economy, the Internet
companies conduct thousands of marketing campaigns every day, to promote their mobile …