This is your chance to meet our Data Scientist of SAP for Me Larissa Heissler for her first expert session about “The analytical journey of creating a recommendation system in SAP for Me”.
Creating a recommender system for our customers is like a journey, where we pass several challenges to reach the destination of an increased user experience.
SAP for Me improves the way how our customers digitally interact with SAP. It’s where the products are purchased, where decisions and plans are made, where employees at the customer play an important role for us as they manage their SAP portfolio and expect a high-quality interaction with us where we receive most complaints today. This is where SAP for Me will start to focus on, the needs of the leading, situation-driven roles at the customer. We, of course want to also reach administrators, developers, support users or business key users and even the end users to provide them with personalized information such as their learning achievements and opportunities.
In this expert session, Larissa Heissler, Data Scientist of SAP for Me will provide insights how she and her team have created a recommender system for SAP for Me and will give an overview of the different types of recommender systems and common challenges like the cold-start problem.
You will also learn what to consider when setting up a knowledge-based recommender system and how to combine this with collaborative filtering.
Here is the registration page for “The analytical journey of creating a recommendation system in SAP for Me” taking place on March 24, 2021 at 3-4 pm CET.
Check SAP for Me out now and login with your S-User.
Best regards,
Ozzy
Creating a recommender system for our customers is like a journey, where we pass several challenges to reach the destination of an increased user experience.
SAP for Me improves the way how our customers digitally interact with SAP. It’s where the products are purchased, where decisions and plans are made, where employees at the customer play an important role for us as they manage their SAP portfolio and expect a high-quality interaction with us where we receive most complaints today. This is where SAP for Me will start to focus on, the needs of the leading, situation-driven roles at the customer. We, of course want to also reach administrators, developers, support users or business key users and even the end users to provide them with personalized information such as their learning achievements and opportunities.
In this expert session, Larissa Heissler, Data Scientist of SAP for Me will provide insights how she and her team have created a recommender system for SAP for Me and will give an overview of the different types of recommender systems and common challenges like the cold-start problem.
You will also learn what to consider when setting up a knowledge-based recommender system and how to combine this with collaborative filtering.
Here is the registration page for “The analytical journey of creating a recommendation system in SAP for Me” taking place on March 24, 2021 at 3-4 pm CET.
Check SAP for Me out now and login with your S-User.
Best regards,
Ozzy
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