JOURNAL ARTICLE

User Profile and Application Investigation Based on Recommender System under Network Information Technology

Xi Wang

Year: 2021 Journal:   2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture Pages: 1846-1848

Abstract

With the rapid development of information and communication technology, network users begin to pay attention to the virtual representation of each user, which urgently needs effective personalization. This problem can be solved by a comprehensive description of the user. This demonstration is called user profile or user portrait. Many reviews on user profile have been conducted and our study is a survey and demonstration of the dimensions in user profile which is based on age, gender, interest/preference, personality, location and time used by recommender system and social networks . The author reviewed the current research, summarized the overview from demographic and spatiotemporal dimensions, and analyzed the characteristic types used to describe different uses in our daily life.

Keywords:
Personalization Computer science Recommender system User profile Preference Representation (politics) User modeling Human–computer interaction World Wide Web Collaborative filtering Computer user satisfaction User information Information retrieval User interface User experience design Information system User interface design Engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
18
Refs
0.45
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Privacy, Security, and Data Protection
Social Sciences →  Social Sciences →  Sociology and Political Science
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