I’m pleased to be a speaker in EphMrA 2019 one-day meeting in Basel, Switzerland (event page with all information) on September, 24th. My presentation will be: “Customer Jouney Optimization through Reinforcement Learning”. Even if the time slot is limited, I’ll do my best to show how it’s possible to employ innovative machine learning methods to optimize complex marketing processes and improve customer satisfaction. I invite everybody who lives or is in Basel to partecipate. All required information about the venue and the agenda are provided in the link above. Photo by Odin Aerni on Unsplash. Recommendations and User-Profiling from Implicit Feedbacks – Giuseppe Bonaccorso The vast majority of B2C services are quickly discovering the strategic importance of solid recommendation engines to improve the conversion rates and an establish a stronger fidelity with the customers.
Many times I had the opportunity to answer the question: “Are recommendations so important for my B2C service?”. Every time, my answer was the same: “It depends”. Clearly, I don’t want to be vague just to avoid the question, but the reality is much more complex than any mathematical model (and when a model gets closer to the reality, it becomes intractable). Recommendations are an example of these scenarios. Nowadays, the smallest online store has many more products than the largest physical store. Moreover, the number of website selling products is increasing, even if the largest companies continue trying to establish monopolies in almost any country. If we add all the B2C services that provide specific pieces of information (e.g. hotels, movies, bars, and so on), the number of possibilities becomes extremely high. Suppose to have dozens of T-shirts. They are all clean are ready to use. You wake up […]