<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the evolving landscape of library services, propelled by advancements in Internet technology and service paradigms, this study utilizes cloud-based lending data from college libraries to improve user profiling and subject-specific lending. Integrating the K-means algorithm with a Boolean matrix-enhanced Apriori algorithm, we devise a data mining model that fine-tunes detecting patterns in user borrowing behaviors. This approach distinguishes five distinct subject areas: energy, computing, electronic communication, machinery, and environmental chemistry. The outcome reveals a bibliographic association rule mining confidence of up to 79.38%, a 30% increase over conventional methods. Moreover, it generates three notable 2-item sets. Our model introduces a groundbreaking way to offer personalized library services, significantly enriching the user experience with tailored subject information.</p>
</abstract>

In the evolving landscape of library services, propelled by advancements in Internet technology and service paradigms, this study utilizes cloud-based lending data from college libraries to improve user profiling and subject-specific lending. Integrating the K-means algorithm with a Boolean matrix-enhanced Apriori algorithm, we devise a data mining model that fine-tunes detecting patterns in user borrowing behaviors. This approach distinguishes five distinct subject areas: energy, computing, electronic communication, machinery, and environmental chemistry. The outcome reveals a bibliographic association rule mining confidence of up to 79.38%, a 30% increase over conventional methods. Moreover, it generates three notable 2-item sets. Our model introduces a groundbreaking way to offer personalized library services, significantly enriching the user experience with tailored subject information.

Cloud Data Resources and Library Subject Information Services

Wuhan University of Science & Technology Library

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Cloud Data Resources and Library Subject Information Services"}

In the evolving landscape of library services, propelled by advancements in Internet technology and service paradigms, this study utilizes cloud-based lending...

Cloud Data Resources and Library Subject Information Services

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 19 avr. 2024

Accepté: 24 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1007

Mots clés
k-means algorithm, Apriori algorithm, User portrait, Association rules, Library information service

© 2024 Chen Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Cloud Data Resources and Library Subject Information Services

Publié en ligne: 03 mai 2024

Pages: -

Reçu: 19 avr. 2024

Accepté: 24 avr. 2024

DOI: https://doi.org/10.2478/amns-2024-1007

Mots clésk-means algorithm, Apriori algorithm, User portrait, Association rules, Library information service

© 2024 Chen Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
k-means algorithm, Apriori algorithm, User portrait, Association rules, Library information service