[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121668-en":3,"doc-seo-121668-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},121668,687197100911,"Himbo","https://ap-avatar.wpscdn.com/avatar/a000239b6f1da00475?x-image-process=image/resize,m_fixed,w_180,h_180&k=1785132997149421697",8,"Research & Report","A Food Recommender System in Academic Environments - Machine Learning Models - Hybrid Approach","Proper diet strongly influences health, yet modern life often weakens attention to eating habits, while Western-style nutrition and medical approaches have contributed to ongoing challenges. Recent advances in technology and artificial intelligence enable recommender systems to deliver healthier dietary guidance. This work applies a hybrid recommender system using collaborative filtering, content-based, and knowledge-based models, coupled with machine learning classifiers and feature engineering to recommend university menu foods tailored to student needs.","A Food Recommender System in Academic Environments Based on  \nMachine Learning Models  \nAbolfazl Ajami  \nMSc Information Technology, Tarbiat Modares University, [E-mail: ](E-mail: A.ajami@modares.ac.ir)[A.ajami@modares.ac.ir](E-mail: A.ajami@modares.ac.ir)  \nDr. Babak Teimourpour *  \nAssistant Professor at the Faculty of Industrial and Systems Engineering Tarbiat Modares University, E-mail:  \n[b](b.teimourpour@modares.ac.ir)[.](b.teimourpour@modares.ac.ir)[teimourpour@modares](b.teimourpour@modares.ac.ir)[.](b.teimourpour@modares.ac.ir)[ac](b.teimourpour@modares.ac.ir)[.](b.teimourpour@modares.ac.ir)[ir](b.teimourpour@modares.ac.ir)  \nAbstract  \nBackground: People’s health depends on the use of proper diet as an important factor. Today, with the increasing mechanization of people's lives, proper eating habits and behaviors are neglected. On the other hand, food recommendations in the field of health have also tried to deal with this issue. But with the introduction of Western nutrition style and the advancement of Western chemical medicine, many issues have emerged in the field of disease treatment and nutrition. Recent advances in technology and the use of artificial intelligence methods in information systems have led to the creation of recommender systems in order to improve people's health.  \nMethods: A hybrid recommender system including, collaborative filtering, content-based, and knowledge-based models was used. Machine learning models such as Decision Tree, k-Nearest Neighbors (kNN), AdaBoost, and Bagging were investigated in the field of food recommender systems on 2519 students in the nutrition management system of a university. Student information including profile information for basal metabolic rate, student reservation records, and selected diet type are received online. Among the 15 features collected and after consulting nutrition experts, the most effective features are selected through feature engineering. Using machine learning models based on energy indicators and food selection history by students, food from the university menu is recommended to students.  \nResults: The AdaBoost model has the highest performance in terms of accuracy with a rate of 73.70% .  \nConclusion: Considering the importance of diet in people's health, recommender systems are effective in obtaining useful information among a huge amount of data.  \nKeywords: Recommender system, Food behavior and habits, Machine learning, Classification  \nIntroduction  \nHealth is basically a product of human lifestyle (1) . The general recommendations for addressing diseases that are responsible for two-thirds of deaths worldwide are mainly related to lifestyle changes. Therefore, improper eating habits are the main cause of today's health problems. In a diet that is tailored to the individual’s energy needs and interests, one can have a healthy body that is less susceptible to disease, which can have a major impact on one's longterm health. But since people are often very poor at judging their dietary health and need support to implement positive changes, long-term programs can be developed to help people make better decisions. However, this solution is neither practical nor economically justifiable for everyone.  \nIn this regard, smart technologies offer a high potential to address these challenges, and among these, the recommender system not only provides recommendations that are in accordance with the user's preference, but can also consider the user's health (2) . The recommender system suggests the most suitable items (data, information, goods, etc.) by analyzing the user's behavior. This system is an approach that is presented to face the problems caused by the large amount of information and helps the user to get closer to the goal faster among the huge amount of information.  \nBy examining the choices of users in the past, these systems find patterns in the data and according to those behavioral patterns, show the appropriate recommendation for","cbCaihv7yx7x1uMw","https://ap.wps.com/l/cbCaihv7yx7x1uMw","pdf",702789,1,11,"English","en",105,"# Abstract\n# Introduction\n## Health and diet as lifestyle factors\n## Recommender systems and user preference modeling\n## Food recommender systems and behavior change\n## Hybrid recommender approach in this paper","[{\"question\":\"What problem does the food recommender system aim to address?\",\"answer\":\"It targets poor ability to judge dietary health and the need for guidance to support healthier, personalized eating decisions.\"},{\"question\":\"Which recommender system types are used in the proposed method?\",\"answer\":\"The study uses a hybrid approach combining collaborative filtering, content-based, and knowledge-based models.\"},{\"question\":\"How are personalized food recommendations generated for students?\",\"answer\":\"Student profile information and reservation records are collected online; after feature engineering and selection with nutrition experts, machine learning models recommend university menu items based on energy indicators and food selection history.\"}]","A Food Recommender System in Academic Environments - Machine Learning Models - Hybrid Approach | PDF",1785806098,28,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"a-food-recommender-system-in-academic-environments-machine-learning-models-hybrid-approach","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/a-food-recommender-system-in-academic-environments-machine-learning-models-hybrid-approach/121668/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What problem does the food recommender system aim to address?","Question",{"text":75,"@type":76},"It targets poor ability to judge dietary health and the need for guidance to support healthier, personalized eating decisions.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which recommender system types are used in the proposed method?",{"text":80,"@type":76},"The study uses a hybrid approach combining collaborative filtering, content-based, and knowledge-based models.",{"name":82,"@type":73,"acceptedAnswer":83},"How are personalized food recommendations generated for students?",{"text":84,"@type":76},"Student profile information and reservation records are collected online; after feature engineering and selection with nutrition experts, machine learning models recommend university menu items based on energy indicators and food selection history.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]