In 2016, retail e-commerce sales worldwide amounted close to 2 trillion US dollars and e-retail revenues are projected to grow to 3.4 trillion US dollars in 2019. However, the rapid transition from the brick-and-mortar shops of old economy is still heavily limited by technology – specifically, the limitations of online product searches, which, especially compared to a conversation with a real world sales associate, return far too many irrelevant and unspecific results to be of reliably convenient use. The key to unlocking the next wave of e-commerce disruption has arrived, this time with the advent of artificial intelligence (AI).

We aim to bring the attention of researchers to real problems with AI applications in E-Commerce, ranging from search, recommendation, (re)targeting, information retrieval and natural language processing (NLP) that belong to the regular IT areas, to the business advisory ChatBot belonging to the hot arising areas, etc. In the recent past years, researchers have proposed various AI techniques in the above mentioned application areas.

This call focuses on novel methodologies, applications and theories for effectively applying AI in E-Commerce. We encourage submissions on a variety of topics focusing on addressing specific aspects of importance in E-Commerce from AI perspective, including but not limited to:
1. Address theoretical contributions to an established field commonly used in E-Commerce system, or provide that a known problem can be solved in a novel way, e.g., visitor web behavior modeling and visualization, intention and sentiment analysis, recommendation and personalization systems, anomaly or change point detection in streaming data, data cleansing and real time bidding optimization in online advertising.
2. Understanding customers intent from unstructured, customer generated content (queries, reviews).
3. Control / optimization of business metrics via E-Commerce experiences that match customers to products (search, recommendations, advertising).
4. Attribution of customer-generated events / metrics (clicks, conversions, revenue) to specific components of a system (multi-touch attribution problem).
5. Computational economics, Mechanism Design for e-commerce platform using multi-agent learning.
6. ChatBot that can communicate and supply business strategies to online customers and sellers.

We encourage submissions of both short papers (at most 3 pages with 1 additional page of reference) and long papers (at most 6 pages with 1 additional page of reference). Accepted short and long papers will be recommended for poster and oral presentations respectively.