Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems
WWW '20: The Web Conference 2020 Taipei Taiwan April, 2020, pp. 694-702, 2020.
Modern recommender systems are optimised to deliver personalised recommendations to millions of users spread across different geographic regions exhibiting various forms of heterogeneity, including behavioural-, content- and trend specific heterogeneity. System designers often face the challenge of deploying either a single global model a...More
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