posted by organizer: firewater || 7631 views || tracked by 9 users: [display]

WAAE 2017 : IJCAI-17 Workshop on AI Applications in E-Commerce

FacebookTwitterLinkedInGoogle

Link: https://102.alibaba.com/ijcai#ImpDates
 
When Aug 19, 2017 - Aug 25, 2017
Where Melbourne, Australia
Submission Deadline May 30, 2017
Notification Due Jun 27, 2017
Final Version Due Jul 30, 2017
Categories    artificial intelligence   machine learning   big data   e-commerce
 

Call For Papers

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.

Related Resources

IJCAI 2022   31st International Joint Conference on Artificial Intelligence
JCRAI 2022-Ei Compendex & Scopus 2022   2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)
EvoCompAISecurity&Privacy 2022   Evolutionary Computing for AI-Driven Security and Privacy: Advancing the state-of-the-art applications
AAAI 2023   The 37th AAAI Conference on Artificial Intelligence
ACM ICEEG 2023   ACM--2023 7th International Conference on E-commerce, E-Business and E-Government (ICEEG 2023)
MLDM 2023   18th International Conference on Machine Learning and Data Mining
ICEEG 2023   ACM--2023 7th International Conference on E-commerce, E-Business and E-Government (ICEEG 2023)
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
ICEFR 2023   2023 12th International Conference on Economics and Finance Research (ICEFR 2023)
EPJ E AI 2022   EPJ E Topical Issue: Quantitative AI in Complex Fluids and Complex Flows: Challenges and Benchmarks