2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Contextual Bandits for Maximizing Stimulated Word-of-Mouth Rewards
Ahmed Sayeed Faruk, Elena Zheleva
Stimulated word-of-mouth is a strategy that promotes information sharing through prompts or incentives. Optimizing stimulated word-of-mouth through social networks requires identif…
Learning Peer Influence Probabilities with Linear Contextual Bandits
Ahmed Sayeed Faruk, Mohammad Shahverdikondori, Elena Zheleva
In networked environments, it is common for users to share recommendations about content, products, services, and possible courses of action. Whether these recommendations are acce…
Estimating Causal Effects in Networks with Cluster-Based Bandits
Ahmed Sayeed Faruk, Jason Sulskis, Elena Zheleva
The gold standard for estimating causal effects is randomized controlled trial (RCT) or A/B testing where a random group of individuals from a population of interest are given trea…
Leveraging heterogeneous spillover in maximizing contextual bandit rewards
Ahmed Sayeed Faruk, Elena Zheleva
Recommender systems relying on contextual multi-armed bandits continuously improve relevant item recommendations by taking into account the contextual information. The objective of…