Something is missing in today’s recommendation systemsMany personalized recommendation engines boil down to “here are some items that you might like”. In other words here’s a list, take it or…May 21, 20211May 21, 20211
Published inSSENSE-TECHCustomer Segmentation: Fooled by RandomnessHow natural statistical phenomena can fool usMay 8, 2020May 8, 2020
Published inSSENSE-TECHComparing Apples, Oranges and BananasBehind every recommender system lies a bevy of metrics.Feb 6, 20201Feb 6, 20201
Published inSSENSE-TECHDefining ‘Done’ in Data ScienceObservations on Data Science development cyclesJul 25, 2019Jul 25, 2019
Published inSSENSE-TECHData Science and Beyond: Transitioning from Academia to IndustryAn academic’s perspective on adapting to a business-skills environmentApr 4, 2019Apr 4, 2019
Published inSSENSE-TECHUnsupervised Product Clustering: Exploring the Cold Start ProblemUsing a simple text mining tool to help a complex recommendation systemMar 7, 20192Mar 7, 20192
