User Profiling Trends, Techniques and Applications
Sumitkumar Kanoje, Sheetal Girase, Debajyoti Mukhopadhyay

TL;DR
This paper reviews the field of user profiling, discussing recent trends, techniques, and applications to enhance personalization in recommender systems and improve user-specific information retrieval.
Contribution
It provides a comprehensive overview of user profiling methods, trends, and applications, aiding researchers in understanding and advancing personalization techniques.
Findings
Various user profiling techniques are discussed.
Applications of user profiling in personalization are explored.
The paper highlights future research directions in user profiling.
Abstract
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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Taxonomy
TopicsRecommender Systems and Techniques · Web Data Mining and Analysis · Human Mobility and Location-Based Analysis
