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Guest Editorial Web-Based Intelligent Support Systems—Preface to the Special Section

Witold Pedrycz, Jie Lu
2015 IEEE transactions on fuzzy systems  
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.  ...  Web-based support systems, including web-based decision support systems and recommending systems, have enjoyed a tremendous growth and exhibited a wealth of developments.  ...  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

Recommendation technique-based government-to-business personalized e-services

Jie Lu, Qusai Shambour, Guangquan Zhang
2009 NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society  
Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services.  ...  A recommender system named Intelligent Business Partner Locator (IBPL) is designed to apply the proposed recommendation approach for supporting government agencies to recommend business partners.  ...  Web-based personalized e-service, otherwise known as 'eservice personalization techniques', aims to provide a solution for this problem.  ... 
doi:10.1109/nafips.2009.5156456 fatcat:w3gj5h6ihrcpzbghcakcncyssi

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.  ...  Conclusion This paper proposes a recommendation approach for e business or e-commerce websites that have very complex product/services categories.  ... 
doi:10.21275/v4i11.nov151592 fatcat:xpr7efvxvbgltof33w63ln7gky

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

Dianshuang Wu, Jie Lu, Guangquan Zhang
2015 IEEE transactions on fuzzy systems  
Recommender systems, which aim to provide personalized recommendations for products or services, can be used to solve this issue.  ...  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.  ...  Recommender systems, which aim to provide personalized recommendations for products or services, can be used to solve this issue.  ... 
doi:10.1109/tfuzz.2015.2426201 fatcat:s55c2sezbndithvb27eermla7a

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  ...  (such as e-business) and application platforms (such as mobile-based platforms).  ...  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

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.  ...  E-service intelligence is a new research field that deals with fundamental roles, social impacts and practical applications of various intelligent technologies on the Internet based e-service applications  ...  and (5) Recommendation based e-service personalization.  ... 
doi:10.1007/978-3-540-37017-8_1 fatcat:wdrvcikn5fagbit4fkp7ma6nvm

A cognitive approach for agent-based personalized recommendation

Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh
2007 Knowledge-Based Systems  
There is an increasing need for various e-service, e-commerce and e-business sites to provide personalized recommendations to on-line customers.  ...  A case study is included to illustrate how personalized recommendations are made by fuzzy cognitive agents in e-commerce sites.  ...  to individual users of various e-service, e-commerce and e-business sites.  ... 
doi:10.1016/j.knosys.2006.06.006 fatcat:pqyymbtjk5gvnooebugb6c5rum

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.  ...  Tree-structured content information is transformed to a set of descriptors, and users' preferences on these descriptors are derived from fuzzy ratings by using fuzzy number operations.  ...  New issues also arise for modern content-based recommender systems.  ... 
doi:10.1109/fuzz-ieee.2015.7338036 dblp:conf/fuzzIEEE/MaoLZZ15 fatcat:o5vnljubyvfjhaiph7dgdk2j34

Developing Mobile Application for Residential Property Business in Transit-Oriented Development Areas

Mohammed Ali Berawi, Nyoman Suwartha, Maulindira Elrizqi, Gunawan Saroji, Mustika Sari
2020 International Journal of Technology  
Another objective of this research is to harness many mobile internet users in Indonesia, reaching 53% of the total population, to develop a mobile phone-based application that serves as the platform for  ...  The proposed application has six features: My Preferences, which provides recommendations for suitable apartment units according to user preferences; Search My Apartment; My Store; Mortgage Simulation;  ...  Number of family members occupying the property unit: a. 1 person b. 2 persons c. 3 persons d. 4 persons e. 5 persons Table 2 2 Percentage of respondents willing to stay in the TOD area based  ... 
doi:10.14716/ijtech.v11i7.4481 fatcat:q23vrcf47jfspk3woy6h6hgadm

Online Shopping Decisions Enhancement with Fuzzy Expert System

Proshat Ghaeini, Hamed Kazempour
2021 International Journal of Innovation in Management, Economics and Social Sciences  
To analyze the status of improvement of users' decisions, a fuzzy expert system was created using input variables business reputation status, environmental factors status in e-commerce, online store features  ...  Such systems usually provide a list of suggested items that the user may prefer. These systems are provided as a support tool to help users obtain information that best meets their needs.  ...  Introduction Recommender systems provide a way for personalized suggestions from existing information which can play an important role in systems such as e-commerce.  ... 
doi:10.52547/ijimes.1.2.84 fatcat:x7fqmryiorgg7lanvcxrp2zx6m

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)  
However, too many learning activities are emerging in the e-learning system, which makes it difficult for learners to select proper ones for their particular situations since there is no personalised service  ...  To deal with the uncertain category issues, a fuzzy category tree and relevant similarity measure are developed.  ...  Recommender systems can be defined as programs which attempt to recommend items (products and services) to users (individuals and businesses) by predicting a user's interest in a given item based on various  ... 
doi:10.1109/fuzz-ieee.2014.6891594 dblp:conf/fuzzIEEE/WuZL14 fatcat:2gtmat7iyjeglop4c5lqoejnx4

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.  ...  ACKNOWLEDGMENTS Our thanks to the experts who have contributed towards development of the template. Our thanks also to the developers and software engineers who contributed to the Weka project.  ... 
doi:10.24297/ijct.v12i7.3099 fatcat:jj7volsiarhktlypqkh4qrgi5m

A fuzzy tree similarity based recommendation approach for telecom products

Dianshuang Wu, Guangquan Zhang, Jie Lu
2013 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)  
A fuzzy tree similarity based hybrid recommendation approach is proposed to solve this issue.  ...  A fuzzy tree similarity measure is developed to evaluate the semantic similarity between tree structured products or user profiles.  ...  Recommender Systems Recommender systems, as an important e-service intelligence method [2] , can be defined as programs which attempt to recommend items to users by predicting a user's interest in a given  ... 
doi:10.1109/ifsa-nafips.2013.6608505 dblp:conf/ifsa/WuZL13 fatcat:yzztalafdzazrjaljfn2fgjo5m

An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining

Saravanapriya Manoharan, Radha Senthilkumar
2020 Computational Intelligence and Neuroscience  
Recommendation of a relevant and suitable news article is an essential but a challenging task due to changes in the user interest categories over time.  ...  To overcome the above challenges, this paper proposes fuzzy logic approach for predicting users' diversified interest and its categories by analysing their implicit user profile.  ...  system-for personalized recommendation.  ... 
doi:10.1155/2020/3791541 pmid:32565771 pmcid:PMC7281826 fatcat:qt2y3csbxbccjbroj4fnt456he

Cloud Classroom Design for English Education Based on Internet of Things and Data Mining

Xiaohua Luo, Hsu-Yang Kung
2021 Mobile Information Systems  
Building an information-based teaching platform for supplementary teaching under the network environment has become a mainstream teaching method in various basic schools.  ...  First of all, the system adopts a three-tier B/S model, the development platform chooses, NET, the development language, uses ASP.NET, and the database chooses SQL server.  ...  to only provide a personalized path recommendation function Feel the convenience and help provided by personalized learning services. e comparison between the English classroom based on the gradient boosting  ... 
doi:10.1155/2021/5555006 fatcat:3uybngiqdje57kdirhwtijxf7e
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