research-article

User Portrait Technology and its Application Scenario Analysis

Authors:

Jiancun ZuoAuthors Info & Claims

BDE '21: Proceedings of the 2021 3rd International Conference on Big Data Engineering

Pages 64 - 69

https://doi.org/10.1145/3468920.3468929

Published: 24 August 2021 Publication History

Abstract

With the rapid development of big data,it has become a trend to use user portrait technology to transform user information into specific tags, to embody the image of users, and to provide users with personalized services. This article introduces the creation process of user portrait in detail, explains the analysis method of portrait accuracy, and summarizes and analyzes the typical application scenarios of user portrait technology.

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Cited By

Yang CWang LFeng LXu LYao TLv YLei S(2024)Research on the Application of Knowledge Graph in Demand-Side Flexible Resource Profiling and Aggregation TechniquesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-13319:1Online publication date: 3-Jun-2024
https://doi.org/10.2478/amns-2024-1331
Li SYang ZYang GZhang HHua NHuang YYang MCalandrino JTroncoso C(2023)Notice the imposter! a study on user tag spoofing attack in mobile appsProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620544(5485-5501)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620544
Lin LWang F(2023)Research on Learner Portrait Based on xAPI and Learning Analysis2023 11th International Conference on Information and Education Technology (ICIET)10.1109/ICIET56899.2023.10111280(416-420)Online publication date: 18-Mar-2023
https://doi.org/10.1109/ICIET56899.2023.10111280

Index Terms

User Portrait Technology and its Application Scenario Analysis

Index terms have been assigned to the content through auto-classification.

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BDE '21: Proceedings of the 2021 3rd International Conference on Big Data Engineering

May 2021

175 pages

ISBN:9781450389426

DOI:10.1145/3468920

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 August 2021

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BDE 2021: The 2021 3rd International Conference on Big Data Engineering

May 29 - 31, 2021

Shanghai, China

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Cited By

Yang CWang LFeng LXu LYao TLv YLei S(2024)Research on the Application of Knowledge Graph in Demand-Side Flexible Resource Profiling and Aggregation TechniquesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-13319:1Online publication date: 3-Jun-2024
https://doi.org/10.2478/amns-2024-1331
Li SYang ZYang GZhang HHua NHuang YYang MCalandrino JTroncoso C(2023)Notice the imposter! a study on user tag spoofing attack in mobile appsProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620544(5485-5501)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620544
Lin LWang F(2023)Research on Learner Portrait Based on xAPI and Learning Analysis2023 11th International Conference on Information and Education Technology (ICIET)10.1109/ICIET56899.2023.10111280(416-420)Online publication date: 18-Mar-2023
https://doi.org/10.1109/ICIET56899.2023.10111280

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