4 citations · 16 across the 17 of their papers we have counts for
4 papers · 1 filter
DynamiX: Dynamic Resource eXploration for Personalized Ad-Recommendations
Sohini Roychowdhury, Adam Holeman, Mohammad Amin +3
For online ad-recommendation systems, processing complete user-ad-engagement histories is both computationally intensive and noise-prone. We introduce Dynamix, a scalable, personal…
SIDE: Semantic ID Embedding for effective learning from sequences
Dinesh Ramasamy, Shakti Kumar, Chris Cadonic +4
Sequence-based recommendations models are driving the state-of-the-art for industrial ad-recommendation systems. Such systems typically deal with user histories or sequence lengths…
OPAM: Online Purchasing-behavior Analysis using Machine learning
Sohini Roychowdhury, Ebrahim Alareqi, Wenxi Li
Customer purchasing behavior analysis plays a key role in developing insightful communication strategies between online vendors and their customers. To support the recent increase…
Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework
Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi +3
A success factor for modern companies in the age of Digital Marketing is to understand how customers think and behave based on their online shopping patterns. While the conventiona…