[PDF][PDF] Collaborative web recommendation systems based on an effective fuzzy association rule mining algorithm (FARM)

A Kumar, P Thambidurai - Indian Journal of Computer Science and …, 2010 - Citeseer
With increasing popularity of the web-based systems that are applied in many different
areas, they tend to deliver customized information for their users by means of utilization of …

[PDF][PDF] Gradual adaption model for information recommendation based on user access behavior

J Chen, RY Shtykh, Q Jin - Int J Adv Intell Syst, 2009 - Citeseer
In this study, we propose a gradual adaption model for information recommendation. This
model is based on a set of concept classes that are extracted from Wikipedia categories and …

Gradually adaptive recommendation based on semantic mapping of users′ interest correlations

J Chen, X Zhou, Q Jin - International Journal of Communication …, 2016 - Wiley Online Library
In this paper, we propose a gradually adaptive recommendation model based on the
combination of both users' commonalities and individualities that depend on the semantic …

A method for recommending learning contents using similarity and difficulty

JW Park, YK Lee - Journal of The Korea Society of Computer and …, 2011 - koreascience.kr
It is required that an e-learning system has a content recommendation component which
helps a learner choose an item. In order to predict items concerning learner's interest …

유사도와난이도를이용한학습콘텐츠추천방법

박재욱, 이용규 - 한국컴퓨터정보학회논문지, 2011 - dbpia.co.kr
이러닝 시스템에서 학습자에게 적합한 콘텐츠 선택을 돕기 위한 콘텐츠 추천 시스템은
필수적이다. 학습자의 선호도를 통한 콘텐츠 추천은 협업 필터링 추천 방법과 내용 기반 추천 …

Enhancing recommender systems development with human, social, cultural and organizational factors

AS Andreou, S Mavromoustakos - International Conference on …, 2011 - scitepress.org
Recommender Systems (RS) aim at suggesting filtered Web information adapted to the
needs or interests of users by predicting their access behavior using a certain strategy or …