Personalization and User Behavior Analysis in Digital Libraries: A Systematic Review
DOI:
https://doi.org/10.63300/Keywords:
User Behavior, User Studies, Digital Libraries, Systematic ReviewAbstract
This systematic review provides a comprehensive analysis of personalization strategies within digital libraries, focusing on their influence on user behavior. It consolidates research from numerous academic sources to pinpoint common methods, significant obstacles, and developing patterns in offering customized content and services. The paper delves into how personalization enhances user satisfaction, tackles key issues, and addresses ethical concerns, offering crucial insights for creating user-focused digital library systems. Moreover, it underscores the importance of analyzing user behavior data for effective personalization frameworks, given that digital libraries are shaped by varied user requirements and preferences. This ongoing development demands a thorough evaluation of existing personalization techniques and their consequences for user involvement and the efficiency of information retrieval in digital library environments.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Article published in Academic Research Journal of Science and Technology (ARJST) is an open access under the Creative Commons Attribution 4.0 International License -BY, (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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