mlsanityData to 14 Oct 2026

User Profiling Trends, Techniques and Applications

arXiv 1503.07474 ↗First posted 25 Mar 2015cs.IRcited by 4

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Abstract (arXiv)

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 facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Mar 2015.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 1.

4 papers.