منابع مشابه
Social Navigation Support in a Course Recommendation System
The volume of course-related information available to students is rapidly increasing. This abundance of information has created the need to help students find, organize, and use resources that match their individual goals, interests, and current knowledge. Our system, CourseAgent, presented in this paper, is an adaptive community-based hypermedia system, which provides social navigation course ...
متن کاملLinking open course wares and open education resources: creating an effective search and recommendation system
With a growing number of digital libraries and other open education repositories being made available, open education specific recommender and search tools play an important role in helping teachers and learners find relevant resources. This paper discusses the design and evaluation of Folksemantic, a system that integrates OpenCourseWare search, Open Educational Resource “more like this” recom...
متن کاملEvaluating the Big Five Personality Test as a Foundation for an Online Student Course Recommendation System
Recommendation systems have emerged as a useful e-commerce tool to assist customers in making purchases based on similarities and preferences of others. They require some basis for making recommendations ranging simply from past behaviors to complicated algorithms based on demographic and personality information. This study compares and contrasts the Big Five personality tests against simple pa...
متن کاملA Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems
Abstract: This research proposes a two-stage user-based collaborative filtering process using an artificial immune system for the prediction of student grades, along with a filter for professor ratings in the course recommendation for college students. We test for cosine similarity and Karl Pearson (KP) correlation in affinity calculations for clustering and prediction. This research uses stude...
متن کاملMovieReco: A Recommendation System
Recommender Systems act as personalized decision guides, aiding users in decisions on matters related to personal taste. Most previous research on Recommender Systems has focused on the statistical accuracy of the algorithms driving the systems, with no emphasis on the trustworthiness of the user. RS depends on information provided by different users to gather its knowledge. We believe, if a la...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020920823