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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 measure is developed to evaluate the semantic similarity between tree structured products or user profiles.  ...  Due to the huge product assortments and complex descriptions of telecom products, it is a great challenge for customers to select appropriate products.  ...  ACKNOWLEDGMENT The work presented in this paper was supported by the Australian Research Council (ARC) under discovery grant DP110103733.  ... 
doi:10.1109/ifsa-nafips.2013.6608505 dblp:conf/ifsa/WuZL13 fatcat:yzztalafdzazrjaljfn2fgjo5m

A hybrid recommendation approach for hierarchical items

Dianshuang Wu, Jie Lu, Guangquan Zhang
2010 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering  
In this approach, a comprehensive semantic similarity measure model for hierarchical tree structured items is developed.  ...  In this study, a new hybrid recommendation approach for complex hierarchical tree structured items is proposed.  ...  ACKNOWLEDGMENTS The work presented in this paper was supported by the Australian Research Council (ARC) under Discovery Project DP0880739 and the China Scholarship Council (No. 2009629052).  ... 
doi:10.1109/iske.2010.5680827 fatcat:infhsspjtjamjezfkbse25elsi

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

C. K. Praseeda, B. L. Shivakumar
2021 SN Applied Sciences  
Churn prediction plays a crucial role in telecom industry, as they are in the position to maintain their precious customers and organize their Customer Relationship Management.  ...  in the industry of telecom.  ...  From this pattern and behaviour, make rules for the recommendation of only similar customers in the future.  ... 
doi:10.1007/s42452-021-04576-7 fatcat:oku6amh57jdlljqcgtp5pwjzfu

Recommender system application developments: A survey

Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang
2015 Decision Support Systems  
By providing a state-of-the-art knowledge, this survey will directly support researchers and practical professionals in their understanding of developments in recommender system applications.  ...  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  ...  To handle linguistic terms in users' interests and the opinions of experts on product relevance, a fuzzy similarity measure and a hybrid fuzzy semantic recommendation (HFSR) approach based on BizSeeker  ... 
doi:10.1016/j.dss.2015.03.008 fatcat:y4phvn677zaondsbjkn56orxt4

Survey of Machine Learning Algorithms & its Applications

Akshada Sunil Shitole, I Priyadarshini
2021 Zenodo  
Machine learning refers to the concept of train the machine in such a way it can learns from a past experiences or it can learn from a data provided to it.  ...  The concept machine learning can be implemented in various fields using its various algorithms.  ...  Application areas of unsupervised learning are segmentation of customers and their behavior towards buying a product, Recommendations of products, movies etc.  ... 
doi:10.5281/zenodo.5090569 fatcat:oeaef2iyqff5fftuzfbgywswau

"IJIMAI Editor's Note - Vol. 3 Issue 2",

Francisco Mochón, Juan Carlos Gonzalvez-Cabañas
2015 International Journal of Interactive Multimedia and Artificial Intelligence  
At the moment, the creation of a videogame is often a large-scale endeavor and bears many similarities with, e.g., movie production.  ...  is more than only ICT, (actually they identify four main sectors -Telecom Companies, Mobile/Internet Contents and Services, SW&IT Services and Application Software); and the Digital Economy is a heterogeneous  ... 
doi:10.9781/ijimai.2015.320 fatcat:brx7yhqbxnhjpm7lopuetbycyu

Review of Data Mining Techniques for Detecting Churners in the Telecommunication Industry

Mahmoud Ewieda, Business Information Systems, Helwan University, Helwan, Egypt, Essam M Shaaban, Mohamed Roushdy, Canadian International College School of business, Business technology department, Cairo, Egypt, Faculty of Computers & Information Technology, Future University in Egypt, New Cairo, Egypt
2021 Future Computing and Informatics Journal  
The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services  ...  It epitomizes the present literature in the field of communications by highlighting the impact of service quality on customer satisfaction, detecting churners in the telecoms industry, in addition to the  ...  Decision Tree The decision tree is an exploratory model that appears in the form of a tree, and precisely each branch of the tree represents a taxonomic question, and its leaves represent parts of the  ... 
doi:10.54623/fue.fcij.6.1.1 fatcat:6s6n7uuxyferla4ar5ahdqdexm

A customer segmentation framework for targeted marketing in telecommunication

Anahita Namvar, Mehdi Ghazanfari, Mohsen Naderpour
2017 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)  
In this research, we adopt behavior and beneficial segmentation in a two-dimensional framework to segment customers.  ...  Moreover, we have recommended some marketing strategies based on each segment's behavior with the aim of increasing in Average Revenue Per User (ARPU) and decreasing in marketing expenses.  ...  [25] defined clustering as a method that puts subjects with similar properties in one cluster, and it has been used widely by researchers for studying customer behavior. Chen, et al.  ... 
doi:10.1109/iske.2017.8258803 dblp:conf/iske/NamvarGN17 fatcat:yrkc24gaifdj7fulrzz55ihwvy

Intelligent data analysis approaches to churn as a business problem: a survey

David L. García, Àngela Nebot, Alfredo Vellido
2016 Knowledge and Information Systems  
The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing preoccupation among service providing companies with creating stronger customer bonds.  ...  In this paper, we provide a detailed survey of recent applications of business analytics to churn, with a focus on computational intelligence methods.  ...  Expert Systems with Applications 34(1):313-327 18. Crespo F, Weber R (2005) A methodology for dynamic data mining based on fuzzy clustering. Fuzzy Sets and Systems 150(2):267-284 19.  ... 
doi:10.1007/s10115-016-0995-z fatcat:2k3c3dnh75ggnesqkrif3w6cwm

Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review

Lewlisa Saha, Hrudaya Kumar Tripathy, Soumya Ranjan Nayak, Akash Kumar Bhoi, Paolo Barsocchi
2021 Sustainability  
Customization of products or services is a strategy that the business sector has embraced to build a better relationship with the customers to cater to their individual needs and thus providing them a  ...  Different IT and non-IT-based techniques are used in the analytical CRM area to achieve this target, and researchers have been actively involved in this domain.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13095279 fatcat:ollwazwvjvc4phtcn4vw2raqly

An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning [article]

Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Farhaan Mirza
2019 arXiv   pre-print
The developed system not only has the ability to handle heterogeneous data using big data Hadoop platform but it also recommend hotel class based on guest type using fuzzy rules.  ...  We have proposed a novel CF recommendation approach in which opinion based sentiment analysis is used to achieve hotel feature matrix by polarity identification.  ...  The traditional F-measure is the Harmonic Mean of Precision and Recall and here it is used in this paper to evaluate the accuracy and efficiency of the recommendations in the proposed Recommender application  ... 
arXiv:1910.06669v1 fatcat:zozbpuhhm5edtaol6fisirfpbi

An Intelligent Data Analysis for Recommendation Systems Using Machine Learning

Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Riaz Ul Amin, Shabana Ramzan, Farhan Mirza, Nadeem Sarwar
2019 Scientific Programming  
Recommender systems (RSs) are getting importance due to their significance in making decisions and providing detailed information about the required product or a service.  ...  The developed system not only has the ability to handle heterogeneous data using big data Hadoop platform but it also recommends hotel class based on guest type using fuzzy rules.  ...  similarity measures used for users' evaluations.  ... 
doi:10.1155/2019/5941096 fatcat:imsm2f7mevaf7fb2shikhprfwe

http://www.jestr.org/downloads/Volume10Issue4/fulltext171042017.pdf

Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali
2017 Journal of Engineering Science and Technology Review  
The various techniques are diagrammatically illustrated which on one hand helps a naïve researcher in this field to accommodate the on-going researches and establish a strong base, on the other hand it  ...  The review studies on RS are highlighted which helps in understanding the previous review works and their directions. 8 different main categories of recommender techniques and 19 sub categories have been  ...  The have applied fuzzy set techniques on mobile product and service recommendation. They have designed system referred as Fuzzy-based Telecom Product Recommender System (FTCP-RS).  ... 
doi:10.25103/jestr.104.18 fatcat:hlipfdlfrrejtdjikbivhw3ejm

Handling of Categorical Data in Software Development Effort Estimation: A Systematic Mapping Study

Fatima Azzahra Amazal, Ali Idri
2019 Proceedings of the 2019 Federated Conference on Computer Science and Information Systems  
In this paper, we conducted a systematic mapping study of papers dealing with categorical data in software development effort estimation.  ...  Furthermore, Euclidean distance, fuzzy logic, and fuzzy clustering techniques were the most used techniques to handle categorical data using analogy.  ...  It is worth noting that, when investigating the use of categorical data in the selected papers, we found that some CBR works used categorical data not only to measure the similarity between software projects  ... 
doi:10.15439/2019f222 dblp:conf/fedcsis/AmazalI19 fatcat:w72n5zjd3zatvl6e7f663wbiai

Customer Behavior Mining Framework (CBMF) using clustering and classification techniques

Farshid Abdi, Shaghayegh Abolmakarem
2018 Journal of Industrial Engineering International  
The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company.  ...  ., the number of hours the telecom services used and the number of the services selected by customers of each group.  ...  A decision tree, as its name implies, has a tree structure similar to a flowchart.  ... 
doi:10.1007/s40092-018-0285-3 fatcat:uwk4ldg2mnfwhphxk4vafzjvu4
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