{"title":"基于专家的学术活动推荐","authors":"Norziana Aliska, Liyana Shuib","doi":"10.24924/IJISE/2018.11/V6.ISS2/45.51","DOIUrl":null,"url":null,"abstract":"With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer’s recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed. Key Terms: Recommender System, Academic Event, Expert Recommendation, Collaborative Fltering","PeriodicalId":314672,"journal":{"name":"International Journal of Information System and Engineering","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EXPERT BASED RECOMMENDATION FOR ACADEMIC EVENT\",\"authors\":\"Norziana Aliska, Liyana Shuib\",\"doi\":\"10.24924/IJISE/2018.11/V6.ISS2/45.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer’s recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed. Key Terms: Recommender System, Academic Event, Expert Recommendation, Collaborative Fltering\",\"PeriodicalId\":314672,\"journal\":{\"name\":\"International Journal of Information System and Engineering\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information System and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24924/IJISE/2018.11/V6.ISS2/45.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information System and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24924/IJISE/2018.11/V6.ISS2/45.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer’s recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed. Key Terms: Recommender System, Academic Event, Expert Recommendation, Collaborative Fltering