Temporal data, representing chronological observations of complex systems, has always
been a typical data structure that can be widely generated by many domains, such as …

Temporal data representing chronological observations of complex systems can be
ubiquitously collected in smart industry, medicine, finance and etc. In the last decade, many …

Recommender systems not only serve users but also affect user preferences through
personalized recommendations. Recent researches investigate the effects of the entire …

In online advertising, marketing mix modeling (MMM) is employed to predict the gross
merchandise volume (GMV) of brand shops and help decision-makers to adjust the budget …

Multi-touch attribution (MTA) currently plays a pivotal role in achieving a fair estimation of the
contributions of each advertising touchpoint to-wards conversion behavior, deeply …

Companies increasingly invest in digital marketing channels to promote their products and
services. While the expenditures for each marketing channel are known, the contribution of …

With the surge in online advertising, the abundance of advertisements has made the
consumer journey more complex. Determining the impact of different channels on …

ABSTRACT Multi-Touch Attribution plays a crucial role in both marketing and advertising,
offering insight into the complex series of interactions within customer journeys during …

This article delves into the modeling of multi-touch attribution (MTA) in marketing. With the
rise of digital marketing, understanding the customer purchase journey and effectively …

The prosperity of big data has boosted the development of AI techniques in smart city. In this
thesis, we study the adaptation of newly-emerging machine learning techniques to urban …