[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-593226-105":59,"doc-detail-593226-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","a-learning-material-based-recommendation-system-for-e-learning","A Learning Material-Based Recommendation System For E-Learning","","A learning material-based e-learning recommendation system is proposed to help learners efficiently choose suitable resources without spending time manually evaluating options. The approach models learners’ preferences using collaborative filtering and applies three CF algorithms—kNN, k-means, and SVD-based CF. Experiments use real data from Anadolum eCampus (the Anadolu University Open Education System LMS) to ensure realistic results. Results show k-means and SVD-based CF outperform kNN, while SVD-based CF achieves the best speed performance.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/a-learning-material-based-recommendation-system-for-e-learning/593226/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/a-learning-material-based-recommendation-system-for-e-learning/593226.png","ImageObject",300,407,{"name":92,"@type":93},"Elsa","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the proposed system address in e-learning?","Question",{"text":112,"@type":113},"Learners may struggle to choose the most appropriate learning materials, and educators may find it difficult to guide selection. The system targets more efficient and preference-aware recommendations.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which collaborative filtering algorithms are compared in the study?",{"text":117,"@type":113},"The study evaluates kNN, k-means, and SVD-based collaborative filtering using the same recommendation framework.",{"name":119,"@type":110,"acceptedAnswer":120},"Which algorithm performs best according to the results?",{"text":121,"@type":113},"k-means and SVD-based CF are more successful than kNN, and the SVD-based CF algorithm is the most successful regarding speed performance.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},593226,1792661280,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},137455077381,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","A Learning Material-Based Recommendation System For E-Learning  \nİhsan Güneş, Esra Pınar Uça Güneş , Sinan Aydın  \nAbstract: There may be many kinds of e-learning material presented to learners. However, learners may not have the consciousness or not want to spend time to examine to select the most appropriate one. Recommendation systems seem to be a feasible solution for an efficient learning process both for learners and the service provider. In this study, we propose a learning material-based e-learning recommendation system that considers the learners' learning material preferences and uses the collaborative filtering method for the recommendation system. To obtain realistic results, actual data gained from Anadolum eCampus, the learning management system of Anadolu University Open Education System, were used. In addition, this study aimed to select the most successful algorithm by applying three Collaborative Filtering (CF) algorithms (kNN, k-means and SVD-based CF) in the experiments to keep the efficiency high. As a result, k-means and SVD-based CF algorithms were more successful than kNN-based CF algorithms. In addition, the SVD-based CF algorithm was the most successful regarding speed performance. In conclusion, this system can be used in e-learning settings to recommend learning materials to learners according to their preferences.  \nKeywords: recommender system, e-learning, collaborative filtering, learning material, data mining  \nHighlights  \nWhat is already known about this topic:  \n● Recommender systems can be an effective approach for distance learners to improve their learning.  \n● Recommendation systems are gaining popularity parallel to/with the increasing popularity of personalization and adaptive learning systems in distance education.  \nWhat this paper contributes:  \n● This paper presents the application examples of recommender systems for learning purposes.  \n● In this article, different models of the Collaborative Filtering (CF) algorithm, widely used in recommendation systems, are applied.  \n● This study provides a successful method for applying a recommendation system that predicts the learners’ material preferences.  \nImplications for theory, practice and/or policy:  \n● In addition to material, different suggestions , such as course, learning path and peer can be presented to the learner.  \n● Different recommendation systems , such as content-based and hybrid , should be applied using different types of data.  \n● To make better recommendation, many data , such as learner behavior, preferences, course materials activities, assessment results , should be regularly collected in databases.  \nIntroduction  \nE-learning is a method preferred by institutions and learners in education and learning processes due to the many advantages it provides. The increasing popularity and rapid growth of e-learning have changed traditional teaching-learning behavior for teachers and learners. In addition to flexibility and economic benefits, individualization and personalization have gained importance recently as learners may have different abilities, skills, learning styles or backgrounds in different expertise areas. Accordingly, the variety and number of online learning materials offered to learners is increasing. However, learners have difficulty making decisions about choosing good material suitable for their situation. In addition, it becomes more challenging for educators to guide learners in choosing appropriate learning materials. At this point, Zaiane and Luo (2001) state that an e-learning system that can automatically direct learner activities and intelligently produce and recommend learning materials to improve the learning process can be very useful for learners. To better guide learners' learning process, these systems can offer an automated way of getting feedback (Lu, 2004) which is one of the advantages. Based on all these mentioned, it can be said that recommendation systems in e-learning environments c","cbCairY50pYYgY3j","https://ap.wps.com/l/cbCairY50pYYgY3j","pdf",483817,17,"English","# Abstract\n# Highlights\n## What this paper contributes\n# Introduction\n# The Collaborative Filtering (CF) algorithm\n# Literature","[{\"question\":\"What problem does the proposed system address in e-learning?\",\"answer\":\"Learners may struggle to choose the most appropriate learning materials, and educators may find it difficult to guide selection. The system targets more efficient and preference-aware recommendations.\"},{\"question\":\"Which collaborative filtering algorithms are compared in the study?\",\"answer\":\"The study evaluates kNN, k-means, and SVD-based collaborative filtering using the same recommendation framework.\"},{\"question\":\"Which algorithm performs best according to the results?\",\"answer\":\"k-means and SVD-based CF are more successful than kNN, and the SVD-based CF algorithm is the most successful regarding speed performance.\"}]","A Learning Material-Based Recommendation System For E-Learning | PDF",1792076856,43]