User Profiling Trends, Techniques and Applications
It provides an overview for researchers interested in improving personalization through user profiling, but it is incremental as it reviews existing work without introducing new methods.
The paper explores user profiling as a key component for personalization in recommender systems, aiming to inform researchers about current trends, techniques, and applications in the field.
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.