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A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System

Dianshuang Wu, Jie Lu, Guangquan Zhang
2015 IEEE transactions on fuzzy systems  
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)  
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

Dianshuang Wu, Guangquan Zhang, Jie Lu
2014 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
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

Witold Pedrycz, Jie Lu
2015 IEEE transactions on fuzzy systems  
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

Karim Moharm
2019 International Journal of Intelligent Information Systems  
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)  
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

Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang
2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
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

Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh
2007 Knowledge-Based Systems  
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

Rawan Ghnemat, Edward Jaser
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

Atharv Pandit, Dwarkadas J.Sanghvi College Of Engineering
2020 International Journal of Engineering Research and  
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

Vaishnavi A
2011 Bonfring International Journal of Software Engineering and Soft Computing  
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]

Jie Lu, Da Ruan, Guangquan Zhang
2007 Studies in Computational Intelligence  
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

Yin Tang, Wen Wang
2018 Open Journal of Social Sciences  
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

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
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

Bhavya Doshi
2019 International Journal for Research in Applied Science and Engineering Technology  
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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