Customer-obsessed science

Brands usually invest in a portfolio of digital ad products for brand consideration and conversion, and their performance is commonly evaluated with ad - attributed metrics. However, these metrics limit the measurement of advertising effectiveness within a short time window, typically of two weeks. Therefore, they could underestimate the total effect if some ad products' efficacy lasts beyond the measurement

We show that the ability of a neural network to integrate information from diverse sources hinges critically on being exposed to properly correlated signals during the early phases of training. Interfering with the learning process during this initial stage can permanently impair the development of a skill, both in artificial and biological systems where the phenomenon is known as a critical learning period

Motivated by bid recommendation in online ad auctions, this paper considers a general class of multi-level and multi-agent games, with two major characteristics: one is a large number of anonymous agents, and the other is the intricate interplay between competition and cooperation. To model such complex systems, we propose a novel and tractable bi-objective optimization formulation with mean-field approximation

Substitute recommendation in e-commerce has attracted increasing attention in recent years, to help improve customer experience. In this work, we propose a multi-task graph learning framework that jointly learns from supervised and unsupervised objectives with heterogeneous graphs. Particularly, we propose a new contrastive method that extracts global information from both positive and negative neighbors

Convolutional neural networks (CNNs) have shown promising improvements in video coding efficiency when included in traditional block-based codecs as a loop filter. Unfortunately, these coding gains are often accompanied by significant increases in complexity, measured by the number of multiply-accumulate (MAC) operations, that make them intractable in practice. As a result, there is considerable interest