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Framework for Multi-Agent Simulation of User Behaviour in E-Commerce Sites (Intro)
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Duarte Duarte
December 03, 2015
Research
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Framework for Multi-Agent Simulation of User Behaviour in E-Commerce Sites (Intro)
Initial presentation of the preparation of my MSc dissertation
Duarte Duarte
December 03, 2015
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Transcript
FRAMEWORK FOR MULTI-AGENT SIMULATION OF USER BEHAVIOUR IN E-COMMERCE SITES
Supervisors Hugo Sereno Ferreira João Azevedo Author Duarte Duarte 2015-12-08 1
Context • Customers interact with e-commerce websites in different ways
• Companies want to optimize success metrics (CTR, CPC, …) for profit • Changing what, how and when content (ads, recommendations, …) is displayed influences customers’ interactions 2015-12-08 2 ? ?
2015-12-08 3
Context • Summarizing and analysing this behaviour is expensive, hard,
tricky, … • Data scientists need to resort to online techniques with a high operational cost 2015-12-08 4 A/B testing multi-armed bandit optimization others
Towards a solution 2015-12-08 5 usage + personas structure content
evaluation of e-commerce success metrics multi-agent simulation (Bayesian networks, Markov chains, …) input
Why? • Evaluation of “what-if” scenarios by data scientists •
Recommendation engines • Ad placement/relevance • Segmentation and targeting • Novelty 2015-12-08 6
Q & A Thank you! 2015-12-08 7