Recommendation System Webinar

Created2022-07-10|Updated2022-07-10|Publication

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A recommendation system is a system that predicts a user’s ratings or preferences for specific items. These recommendations are made based on the user’s past behavior or the behavior of other users. Therefore, the system recommends items to users based on behavioral data or preferences over time. This system does not recommend specific items; instead, it suggests a range of items that may align with the user’s preferences. In general, the functions and goals of a recommendation system are as follows:

Increase the number of items sold.
Sell a variety of items.
Enhance user satisfaction.
Provide a better understanding of user preferences.

Recommendation systems are classified into two main categories: non-personalized (without personalization) and personalized (with personalization).

Speaker: Azhar Rizki Zulma (Internship Data Scientist BISA AI)

Event Schedule: Sunday, July 10, 2022, at 09:00 - 11:00 AM (WIB - Western Indonesian Time)

Benefits: Free Certificate

Registration Link: Click Here

Author: Azhar Rizki Zulma

Link: https://blog.zulma.id/posts/Recommendation-System-Webinar/

Copyright Notice: All articles on this blog are licensed under CC BY-NC-SA 4.0 unless otherwise stated.

Webinar Recommendation System

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