User Profiling Based on Various Data Sources for Personalized Services

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Personalization has gained a lot of attractions both from academia and industry, being specific in the applications of recommendation systems. There are a lot other applications or services involving personalization. User profiling helps extracting personalized information for those services, where information retrieval is done to build a separate user profile for individual user and the profile can effectively identify user's interest domain or behavior patterns. The main objective of this talk is to explore the field of personalization in context of user profiling based on various data source, to help data scientists or engineers aware the use of user profiling and provide better personalized services.
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