User Profiling Trends, Techniques and Applications
Sumitkumar Kanoje, Sheetal Girase, Debajyoti Mukhopadhyay
Abstract
Open-access reader
Sumitkumar Kanoje, Sheetal Girase, Debajyoti Mukhopadhyay
Abstract
Open-access reader
The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and efficiently. User profiling helps personalization, where information retrieval is done to personalize a scenario which maintains a separate user profile for individual user. The main objective of this paper is to explore this field of personalization in context of user profiling, to help researchers make aware of the user profiling. Various trends, techniques and Applications have been discussed in paper which will fulfill this motto.
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The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and efficiently. User profiling helps personalization, where information retrieval is done to personalize a scenario which maintains a separate user profile for individual user. The main objective of this paper is to explore this field of personalization in context of user profiling, to help researchers make aware of the user profiling. Various trends, techniques and Applications have been discussed in paper which will fulfill this motto.
Key concepts: Profiling (computer programming), Computer science, Data science, Operating system