EXPLORING PRODUCT UTILIZATION DERIVED FROM SOCIAL MEDIA USER DEMOGRAPHICS
Keywords:
Social Media Analytics, Product Utilization, Demographics, Sentiment Analysis, Recommendation Systems, Machine Learning.Abstract
In today’s era, recommendation systems are the most important intelligent systems that plays in giving the information to the users. Previously approaches in recommendation systems (RS) include Content-based-filtering and collaborative filtering. Thus, these approaches have certain limitations as like the necessity of the user history as In the digital landscape of today's era, social media platforms have evolved into powerful tools not only for communication but also for data-driven insights into consumer behavior. The growing availability of user demographic data offers immense opportunities for businesses to optimize product utilization strategies. This paper explores how product recommendations and user engagement patterns can be derived through demographic insights obtained from social media platforms.
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References
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