A Study on the Development of an English Distance Education Resource Search System Based on Clustering Algorithms
Year: 2024
Type: conference-paper
Abstract: The fast advancement of English distance schooling owes an awful lot to the extensive adoption of information technology and the Internet. However, whilst faced with an abundance of on-line educational resources, the undertaking lies in rapidly and efficaciously trying to find and finding the required records. Against this backdrop, seek structures primarily based on clustering analysis algorithms have emerged, serving as a vital tool to deal with the intricacies of useful resource retrieval. Clustering evaluation, particularly, excels via categorizing data consistent with their inherent attributes, hence systematizing aid organisation and enhancing the accuracy and performance of searches. In current years, clustering algorithms inclusive of okay-approach have been widely carried out in diverse information retrieval structures, with their blessings being self-evident. These technological improvements no longer best raise the user enjoy but also significantly optimize useful resource allocation and community load, thereby propelling the improvement of English distance schooling. Consequently, the pursuit of a tremendously green aid seek gadget has end up a essential vicinity of studies within the subject of distance training.
Authors: Xuefei Fan, Jingwen Feng
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4410210386