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Framework for Multi-Agent Simulation of User Behaviour in E-Commerce Sites (Intro)

Duarte Duarte
December 03, 2015

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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  1. 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
  2. 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 ? ?
  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
  4. 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
  5. Why? • Evaluation of “what-if” scenarios by data scientists •

    Recommendation engines • Ad placement/relevance • Segmentation and targeting • Novelty 2015-12-08 6