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A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System
2015
IEEE transactions on fuzzy systems
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A comprehensive case study about learning activity recommendation further demonstrates the effectiveness of the fuzzy tree matching-based personalized e-learning recommender system in practice. ...
A fuzzy tree matching-based hybrid learning activity recommendation approach is then developed. ...
A comprehensive case study about learning activity recommendation further demonstrates the effectiveness of the fuzzy tree matching-based personalized e-learning recommender system in practice. ...
doi:10.1109/tfuzz.2015.2426201
fatcat:s55c2sezbndithvb27eermla7a
Survey Paper on Web Recommendation System
2015
International Journal of Science and Research (IJSR)
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A fuzzy preference tree-based recommendation approach is then developed. ...
An item tree and user request tree-based hybrid recommendation approach is then developed. To model users' fuzzy tree-structured preferences, a fuzzy preference tree model is proposed. ...
This study resolve challenges like, Tree structured data, tree structured user preferences, uncertainty in user preferences, and personalization problem in Recommendation system and propose a fuzzy tree ...
doi:10.21275/v4i11.nov151592
fatcat:xpr7efvxvbgltof33w63ln7gky
A fuzzy tree matching-based personalised e-learning recommender system
2014
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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A tree matching method is then developed to match the similar learning activities or learners. ...
The proposed approach can handle the special requirements in e-learning environment and make proper recommendations in e-learning systems. ...
A Fuzzy Tree Matching-Based Personalised E-Learning Recommender System
Dianshuang Wu, Guangquan Zhang and Jie Lu Abstract-The rapid development of e-learning systems provides learners great opportunities ...
doi:10.1109/fuzz-ieee.2014.6891594
dblp:conf/fuzzIEEE/WuZL14
fatcat:2gtmat7iyjeglop4c5lqoejnx4
Guest Editorial Web-Based Intelligent Support Systems—Preface to the Special Section
2015
IEEE transactions on fuzzy systems
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Web-based support systems, including web-based decision support systems and recommending systems, have enjoyed a tremendous growth and exhibited a wealth of developments. ...
Recently, more web-based intelligent support systems have been successfully developed and applied to various areas, including e-commerce, e-business, e-government, e-learning and e-services. ...
Her main research interests lie in the area of decision support systems, recommender systems, prediction and early warning systems, fuzzy transfer learning, and web-based e-service intelligence. ...
doi:10.1109/tfuzz.2015.2393391
fatcat:4bcqah3ltzbgjo6sebwixei5xm
A Framework for Adaptive Personalized E-learning Recommender Systems
2019
International Journal of Intelligent Information Systems
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This paper proposes a framework for applying recommender systems in personalized e-learning domain. ...
Detecting the student model offers a potential to recommend a learning material that is adequate to the student progress. ...
[10] proposed a personalized e-learning recommender system, called PERS, based on collaborative filtering recommendation to propose adaptive class materials that match student's needs based on group ...
doi:10.11648/j.ijiis.20190801.13
fatcat:s2whr6wn2vbdxl7nn24fd4lk4m
Design and Implementation of Intelligent Tutoring System using Enhanced Personalization in e-Learning
2017
International Journal of Science and Research (IJSR)
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A review of different E-learning Experience considers the need for personalization of learning contents to enhance the experience of learners. ...
E-Learning is a $56.2 billion industry today and will double by 2017. Statistics show that by 2019, roughly half of all educational institutions will offer e-Learning based training. ...
tree Movies MovieLens 2113 users CF similarity Fuzzy tree- Fuzzy Mean Accuracy [10] matching treated as Data set rated 20 Ratings of structured data category tree Absolute improved Recommen based learning ...
doi:10.21275/art20164209
fatcat:sbnxmhogzbbvjhvblrfbklo23q
A fuzzy content matching-based e-Commerce recommendation approach
2015
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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To well utilize the content information, this study proposed a fuzzy content matching-based recommendation approach to assist e-Commerce customers to choose their truly interested items. ...
E-Commerce products often come with rich and tree-structured content information describing the attributes. ...
Biadsy et al. propose a transfer learning model for content-based recommender systems, in which the ratings on a pacific domain are modeled as tree-structured patterns of users as the base of transfer ...
doi:10.1109/fuzz-ieee.2015.7338036
dblp:conf/fuzzIEEE/MaoLZZ15
fatcat:o5vnljubyvfjhaiph7dgdk2j34
A cognitive approach for agent-based personalized recommendation
2007
Knowledge-Based Systems
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A case study is included to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites. ...
This paper proposes a new type of personalized recommendation agents called fuzzy cognitive agents. ...
A case study and some experimental results are included in Section 3 to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites. ...
doi:10.1016/j.knosys.2006.06.006
fatcat:pqyymbtjk5gvnooebugb6c5rum
Toward Mobile Telecommunication Recommendation System through Intelligent Customers Categorization
2013
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
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Personalized recommendation system is needed to dynamically adapt the different customer behaviours with the most appropriate plan for them. ...
In this paper we propose a new automatic approach for costumers' categorization. This will be the basis for the recommendation system. ...
F e b r u a r y 1 8 , 2 0 1 4
Step 3:Encode the fuzzy sets and perform fuzzy inference into the expert system This study modeled and tested a fuzzy logic system to predict the segment of mobile phone ...
doi:10.24297/ijct.v12i7.3099
fatcat:jj7volsiarhktlypqkh4qrgi5m
A Review on Clothes Matching and Recommendation Systems based on user Attributes
2020
International Journal of Engineering Research and
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In this paper, an in depth study is performed of various systems that are developed for the various features that must be kept in mind for making a robust system that finds matching clothes of the user ...
Wearing clothes properly that show some level of style and wearing them such that they adhere to the norms of social standards uplifts the confidence of the person and creates a very good impression. ...
Personalized Clothing Recommendation Based on Knowledge Graph: The system recommends clothes using a knowledge graph and the recommendations are dependent on user attributes which is desirable. ...
doi:10.17577/ijertv9is080371
fatcat:dah7nwjgcbfqvemofe6f2nhlgu
Effective Web personalization system using Modified Fuzzy Possibilistic C Means
2011
Bonfring International Journal of Software Engineering and Soft Computing
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The performance of the proposed Web Personalization system is evaluated based on various parameters. ...
In this paper, a novel technique is proposed for the development of the web personalization system using the Modified Fuzzy Possibilistic C Means (MFPCM). ...
The access patterns are then stored in a compact tree structure, called pattern-tree, which is then used for matching and generating Web links for recommendations. ...
doi:10.9756/bijsesc.1001
fatcat:w5az3bvgrzdcpjerbfdg5pvd2y
E-Service Intelligence: An Introduction
[chapter]
2007
Studies in Computational Intelligence
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that are provided by e-government, e-business, e-commerce, e-market, e-finance, and e-learning systems, to name a few. ...
mining, online searching/data retrieval, and various web-based support systems. ...
Another example is a web-based personalized learning recommender system (Lu, 2004) . ...
doi:10.1007/978-3-540-37017-8_1
fatcat:wdrvcikn5fagbit4fkp7ma6nvm
A Literature Review of Personalized Learning Algorithm
2018
Open Journal of Social Sciences
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The review aims at elaborating the research based on recommendation system and data mining in personalized learning algorithm and look forward to the future research trend. ...
This paper constitutes a literature review on personalized learning algorithm at home and abroad. ...
[5] propose a personalized ontology learning resource recommendation system based on the user model. Khribi et al. ...
doi:10.4236/jss.2018.61009
fatcat:2ivoike2xbbglnkbovgsw6bu2y
Recommender system application developments: A survey
2015
Decision Support Systems
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A recommender system aims to provide users with personalized online product or service recommendations to handle the increasing online information overload problem and improve customer relationship management ...
, e-learning, e-tourism, e-resource services and e-group activities, and summarizes the related recommendation techniques used in each category. ...
Because business profiles usually present complicated tree structures and users' preferences are vague and fuzzy, a fuzzy preference tree-based recommender system for personalized B2B e-services was developed ...
doi:10.1016/j.dss.2015.03.008
fatcat:y4phvn677zaondsbjkn56orxt4
Implementation of Online Portal for CV Analysis Using KNN Algorithm
2019
International Journal for Research in Applied Science and Engineering Technology
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These are termed as e-recruitment systems and this automates the process of receiving the CVs of the candidates and short listing the candidates who satisfy the requirements of the company. ...
In this work we propose the application of K-Nearest Neighbors algorithm and Natural Language Processing in automated e-recruitment systems to shortlist the right candidates who satisfy the technical requirements ...
It presents a New Fuzzy Expert System (NFES) for student academic performance evaluation based on Fuzzy Logic techniques. ...
doi:10.22214/ijraset.2019.4258
fatcat:c54h5bdmwjf67clnzluvkxgnzy
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