این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Engineering، جلد ۳۵، شماره ۷، صفحات ۱۳۱۷-۱۳۲۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی A Compositional Adaptation-based Approach for Recommending Learning Resources in Software Development
چکیده انگلیسی مقاله In this paper, we discussed the application of a compositional adaptation approach to recommend learning resources to users in the area of software development.  This approach makes use of a domain-specific ontology in this area to find those words, which are used in the technical description of the stored cases. A point peculiar with representing cases in the proposed approach is to take into account the characteristics of included learning resources, which justify the way they support the essential operations in the case of solution. In this way, only those components that comply with user’s request would be considered in the final solution. In the paper, the performance of the proposed approach for recommending learning resources together with the status of user experience in his/ her interaction with the resulted recommending system, have been evaluated. Results demonstrate the fact that the learning resources through this approach are sufficiently beneficial for the users. Although the proposed approach has been applied for recommending learning resources in the area of software development, it can be equally applied to any technological area through developing domain-specific ontology for that area. This is mainly because any technological area has its own specific objects/ entities holding their own semantic similarities that finally lead to forming a domain-specific ontology for that area.
کلیدواژه‌های انگلیسی مقاله recommender system,learning resource,Case-Based Reasoning,compositional adaptation,Semantic Similarity,domain-specific ontology
نویسندگان مقاله M. Tayefeh Mahmoudi |
Data Analysis & Processing Research Group, IT Research Faculty, ICT Research Institute, Iran

K. Badie |
E-Content & E-Services Research Group, IT Research Faculty, ICT Research Institute, Iran

M. H. Moosaee |
Computer Engineering Group, Science & Culture University, Iran

A. Souri |
Electrical Engineering Group, Islamic Azad University South Tehran Branch, Iran

نشانی اینترنتی https://www.ije.ir/article_147384_fb888704838a3b99e66a4ccee11215c8.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات