Call For Papers

Call for Papers

The new extended deadline for CFP is 06/25/2024

We welcome full papers (up to 10 pages) and extended abstracts (at least one full page) on ML and data science solutions for optimizing customer journeys, spanning sales, marketing, go-to-market, product experience, and monetization. 

Our focus is on comprehensive solutions for new user acquisition, user retention, churn prevention, upsell, cross-sell, pricing optimization, and more.

From a machine learning/AI perspective, this translates into interesting problems in the area of:

• GAI Applications in improving cusotmer experience 

• Semi-supervised and multi-task learning frameworks/algorithms to handle complex prediction and optimization scenarios. 

• Deep learning networks to model end-end customer life cycle. 

• Embeddings and representation learning for customers and their related entities. 

• Reinforcement learning to iteratively optimize personalized policies for maximizing user experience. 

• Multi arm bandits to select the optimal design and content dynamically through explore-and-exploit. 

• Propensity scoring to target the customers who are ready to buy from you

• Uplift modeling to predict the effect of intervention on user behavior 

• LTV prediction to get a measurement of customers who are more likely to be successful.

• Causal inference: Understand LTV changing events

• Churn prediction to predict which users are likely to churn and design interventions accordingly

Submission guidelines 

All submissions must be PDFs formatted in the Standard ACM Conference Proceedings Template. Submitted papers will be assessed based on their quality, impact, novelty, depth, clarity, and generalizability. For each accepted paper, at least one author must attend the workshop and present the paper or poster.

Accepted papers will be presented orally or as posters, depending on scheduling constraints. They will also be posted on the workshop website and may be published in the ACM Digital Library. Both full papers (up to 10 pages) and extended abstracts (at least 1 page) are accepted for submission.

Reviews are single-blind. Please include author names and affiliations in your submission. 

Link to submission site here