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The application of e-commerce recommendation system in smart cities based on big data and cloud computing

Yiman Zhang
2021 Computer Science and Information Systems  
The experimental results show that the e-commerce system based on cloud computing technology effectively improves the support of various recommendation algorithms in the system environment; the algorithm  ...  This study greatly improves the recommendation performance of e-commerce, effectively solves the shortcomings of the current recommendation algorithm, and further promotes the personalized development  ...  Figure 7 presents the flow of the improved content filtering recommendation algorithm based on cloud computing. (3) An improved association rule recommendation algorithm based on cloud computing: association  ... 
doi:10.2298/csis200917026z fatcat:cfgyvhufyjakfaekzxadzewk3u

Personalizing Diversity Versus Accuracy in Session-Based Recommender Systems

Alireza Gharahighehi, Celine Vens
2021 SN Computer Science  
Finally, we propose a performance balancing approach that improves both the diversity and accuracy of these session-based recommender systems.  ...  In this study, we propose diversity and accuracy enhancing approaches based on sequential rule mining and session-based k-nearest neighbor methods.  ...  [50] improved the performance of Recurrent Neural Network (RNN)-based recommenders by using item features. Moreira et al.  ... 
doi:10.1007/s42979-020-00399-2 fatcat:eirincolkfd3lgknijtdk6qniy

Recommendation in Collaborative E-Learning by Using Linked Open Data and Ant Colony Optimization [chapter]

Samia Beldjoudi, Hassina Seridi, Nour El Islem Karabadji
2018 Lecture Notes in Computer Science  
To address this issue, we proposed to take advantage of the richness of the open and linked data graph of DBpedia and association rules to learn learners' behavior.  ...  The proposed approach demonstrates the efficiency of using DBpedia to enhance diversity and novelty when recommending resources to users in folksonomies.  ...  In such manner, the recommendation system will provide high performances in terms of both accuracy and diversity.  ... 
doi:10.1007/978-3-319-91464-0_3 fatcat:kq7i52kccrcgbe3vtxgzkma7ei

A Modified Approach towards Tourism Recommendation System with Collaborative Filtering and Association Rule Mining

Monali Gandhi, Khushali Mistry, Mukesh Patel
2014 International Journal of Computer Applications  
The hybridization of both collaborative filtering and association rule mining can produce strong and quality recommendation even when sufficient data are not available.  ...  Recommendation after association rule mining is having high support and confidence level. So that will be considered as strong recommendation.  ...  To solve the above difficulties, this research uses hybridization of collaborative filtering and association rule mining is used to improve the quality of recommendations.  ... 
doi:10.5120/15885-4685 fatcat:4ngabdkxcbexzlrdyi2jn25ay4

The Improvement of Personalized Recommendation System Based on Sparse Data of Financial Products

Xu Yong, Pi Ying-xin, Xu Jian-bin
2018 World Journal of Research and Review  
of the recommendation system and the precision of community discovery.  ...  Optimizing the procedure of recommendation system solves the problems of data sparsity, cold start and system scalability.  ...  recommendation algorithm based on project is ItemCF, and the recommendation algorithm based on association rules is AF.  ... 
doi:10.31871/wjrr.7.2.18 fatcat:2nvwg55kgjafrh7flols25remm

A Novel Approach towards Tourism Recommendation System with Collaborative Filtering and Association Rule Mining

Monali Gandhi, Khushali Mistry, Mukesh Patel
2014 International Journal of Computer Applications  
The hybridization of both collaborative filtering and association rule mining can produce strong and quality recommendation even when sufficient data are not available.  ...  Recommendation after association rule mining is having high support and confidence level. So that will be considered as strong recommendation.  ...  The future work includes the experimentation on more people attributes and provide strong association domain rules for such diverse attributes.  ... 
doi:10.5120/16956-6894 fatcat:6gcreucrenbzplws5ert7ws354

Intelligent Recommendation System Based on Mathematical Modeling in Personalized Data Mining

Yimin Cui
2021 Mathematical Problems in Engineering  
Firstly, this paper makes mathematical modeling of the intelligent recommendation system based on association rules.  ...  In order to improve the efficiency of data mining, this paper studies data mining based on the intelligent recommendation system.  ...  association rule recommendation system, and collaborative filtering recommendation system, and the performance of the system is analyzed.  ... 
doi:10.1155/2021/6672036 doaj:bbed730181944272aaf2d7af62c90e27 fatcat:nbpkqsfbxjcz3iyzbsnugbdhlm

Time-Aware CF and Temporal Association Rule-Based Personalized Hybrid Recommender System

Dan Yang, Zheng Tie Nie, Fajun Yang
2021 Journal of Organizational and End User Computing  
Experimental results on real datasets show the feasibility and performance improvement of the proposed hybrid recommender system compared to other baseline approaches.  ...  The proposed temporal association rule-based recommendation algorithm considers the time context of users' historical behaviors when mining effective temporal association rules.  ...  A hybrid web recommender system (Wanaskar et al., 2013) based on improved association rule mining algorithm recommends websites to users.  ... 
doi:10.4018/joeuc.20210501.oa2 fatcat:griyrls44bh4tfnoosvemekg3q

Combining Cluster-Based Profiling Based on Social Media Features and Association Rule Mining for Personalised Recommendations of Touristic Activities

Jonathan Ayebakuro Orama, Joan Borràs, Antonio Moreno
2021 Applied Sciences  
Association rules, which are mined from the previous visits of users documented on Twitter, are used to make the final recommendations of places to visit.  ...  The system has been applied to data of the city of Barcelona, and the results show that the use of the social media-based clustering procedure increases its performance according to several relevant metrics  ...  Acknowledgments: Jonathan Ayebakuro Orama is a fellow of Eurecat's "Vicente López" PhD grant program. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11146512 fatcat:n2cr6hucpzgkxpedzv4nxepndm

A Recommender System for Library Based on Hadoop Ecosystem

Zne-Jung Lee, Ping-Kun Hu, Chou-Yuan Lee
2017 DEStech Transactions on Materials Science and Engineering  
ACKNOWLEDGMENT The authors would like to thank the Ministry of Science and Technology of the Republic of China, Taiwan for financially supporting this research under Contract No.  ...  Thereafter, it is an important issue to establish the suitable recommender system for readers [2~5] . There are lots of recommendation systems for library based on association rule.  ...  A system for web personalization based on association rules mining is proposed to identify association rules from page views co-occurrences based on users navigational patterns [6] . Smyth et al.  ... 
doi:10.12783/dtmse/icmsme2016/7507 fatcat:jdwaevrxovgnnb43zehml37q6u

Data mining techniques applied in educational environments: Literature Review

Andrés Villanueva Manjarres, Luis Gabriel Moreno Sandoval, Martha Janneth Salinas Suárez
2018 Digital Education Review  
The aim of this publication is to present a review of the works in which data mining techniques were used to solve specific problems of education and to do a classification of these, associated with diverse  ...  Abstract: Data Mining for Education is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students better.  ...  Lu et al., 2007) support the use of clustering and association rules to improve some qualitative aspects of the teaching process and generate recommendations about course based on materials learning habits  ... 
doi:10.1344/der.2018.33.235-266 fatcat:6bhyohmqfjhp3luf2eup634eju

Adapting Recommendations Organization to User Preferences

Li Chen
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
In this paper, we propose a novel approach to generating the organization of recommendations, with the goal of making it dynamically adaptive to different conditions of user preferences (i.e.  ...  As a different way to generate and display recommendations, the organization interface has been found being more effective in building users' trust.  ...  Our algorithm is essentially based on the association rule mining technique to discover association rules dependent on the current condition of the user preferences.  ... 
doi:10.1109/wi-iat.2009.230 dblp:conf/iat/Chen09a fatcat:6xfpinsk5fb4hcexrbnpvhpbei

An Intelligent Recommender System Based on Association Rule Analysis for Requirement Engineering

Mohammad Muhairat, Shadi Bi, Bilal Hawashin, Mohammad Elbes, Mahmoud Al-Ayyoub
2020 Journal of universal computer science (Online)  
In this work, we propose an intelligent recommender system for requirement engineering based on association rule analysis, which is a main category in Data Mining.  ...  Even though many recent researches concentrated on the improvement of the requirement gathering process, many of their works lack completeness especially when the number of users is large.  ...  This work has two main contributions; First, it proposes an optimized association rule based recommender system by comparing two association rule methods, namely Apriori and FP Growth.  ... 
doi:10.3897/jucs.2020.003 fatcat:3nxb4vayhfalzi76hxrv77rtuy

A New Improved Clustering Algorithm based Diversified Web Page Recommendation

Meghna Guru, S. Anitha, J.C. Kavitha
2016 International Journal of Computer Applications  
Web Service Recommendation system focuses on satisfying the user's potential interests.  ...  Web Service graph is constructed based on the functional similarity of the web service candidates.  ...  In the proposed system, the concept of clustering is employed for improving selection of the web services. The clustering is combined with the hierarchical association.  ... 
doi:10.5120/ijca2016909542 fatcat:qx2qmulvybbidcza3vo4yeghpe

Hybrid recommender systems: A systematic literature review

Erion Çano, Maurizio Morisio
2017 Intelligent Data Analysis  
This systematic literature review presents the state of the art in hybrid recommender systems of the last decade. It is the first quantitative review work completely focused in hybrid recommenders.  ...  Based on our findings, most of the studies combine collaborative filtering with another technique often in a weighted way.  ...  Association rules Association rule mining tries to discover valuable relations (association rules) in large databases of data.  ... 
doi:10.3233/ida-163209 fatcat:rqskvan7lrhmtcncsid2dpdata
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