Personalization has long been a key goal of social media platforms. By understanding users' interests and preferences, platforms can deliver more relevant content and experiences, which can lead to increased engagement and satisfaction. However, traditional approaches to personalization have been limited by the amount of data that platforms have access to.
In recent years, there has been a growing movement to redefine personalization in a way that takes advantage of new technologies and data sources. This new
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There are a number of new technologies that are making contextual personalization possible. Machine learning is one such technology that can be used to analyze large amounts of data and identify patterns and trends. This information can then be used to create personalized models that can predict what users are likely to be interested in.
