Identifying Dissatisfied 4G Customers from Network Indicators

2016 ◽  
pp. 41-53
Author(s):  
Xinling Dai
Keyword(s):  
Survey Data ◽  
Classification Model ◽  
Quantitative Methodology ◽  
Network Problems ◽  
Customer Dissatisfaction ◽  
Feedback Data ◽  
Source Of Information ◽  
Prediction Efficiency ◽  
Specific Influence ◽  
Selection Of

Feedback data directly collected from users are a great source of information for telecom operators. They are usually retrieved as complaints and survey data. For the mobile telecoms sector, one purpose is to manage those data to identify network problems leading to customer dissatisfaction. In this paper, a quantitative methodology is used to predict dissatisfied users. It focuses on extraction and selection of predictive features, followed by a classification model. Two sets of data are used for experiments: one is related to complaints, the other to survey data. Since the methodology is similar for those two sets, prediction efficiency and influence of features are compared. Specific influence of user loyalty in survey data is highlighted. Thus, the methodology presented in this article provides a reference for the mobile operators to improve procedures for collecting feedback answers.

Identifying Dissatisfied 4G Customers from Network Indicators

2016 ◽  
Vol 8 (1) ◽  
pp. 12-20
Author(s):  
Alexis Huet ◽  
Ye Ouyang ◽  
Mantian (Mandy) Hu ◽  
Xinling Dai
Keyword(s):  
Survey Data ◽  
Classification Model ◽  
Quantitative Methodology ◽  
Network Problems ◽  
Customer Dissatisfaction ◽  
Feedback Data ◽  
Source Of Information ◽  
Prediction Efficiency ◽  
Specific Influence ◽  
Selection Of

Feedback data directly collected from users are a great source of information for telecom operators. They are usually retrieved as complaints and survey data. For the mobile telecoms sector, one purpose is to manage those data to identify network problems leading to customer dissatisfaction. In this paper, a quantitative methodology is used to predict dissatisfied users. It focuses on extraction and selection of predictive features, followed by a classification model. Two sets of data are used for experiments: one is related to complaints, the other to survey data. Since the methodology is similar for those two sets, prediction efficiency and influence of features are compared. Specific influence of user loyalty in survey data is highlighted. Thus, the methodology presented in this article provides a reference for the mobile operators to improve procedures for collecting feedback answers.

One China, Many Paths. Edited by Chaohua Wang. [London: Verso, 2003. 368 pp. £16.00. ISBN 1-85984-537-1.]

2004 ◽  
Vol 179 ◽  
pp. 817-819
Author(s):  
Henry Y.H. Zhao
Keyword(s):  
New Left ◽  
Contemporary China ◽  
Chinese Intellectual ◽  
Two Sides ◽  
Source Of Information ◽  
Selection Of

This is a remarkable selection of recent debating essays between two camps within Chinese intellectual circles – Chinese New Leftists (xin zuopai) and Chinese Liberals (ziyou zhuyi). The publisher Verso is an imprint of the New Left Review in London. The editor, Chaohua Wang, however, is remarkably even-handed. Five leading Liberals and four celebrated New Leftists are given ample space to air their views; another seven who take different stands on various issues have sufficient opportunities to explain their particular subtlety. The essays are well-chosen, and the fairness makes this book a basic document for understanding contemporary China.There has not been much Western attention to this important debate that has been raging in China since the late 1990s, let alone a collection of relevant essays. In fact, even in Chinese there has not been a book that lets the two sides clash head to head. This volume stands out as the only source of information available in English about this most important debate.

scholarly journals Visual Metaphtonymy in Automobile Femvertising

2020 ◽  
Vol 18 (4) ◽  
pp. 421-439
Author(s):  
Sami Chatti
Keyword(s):  
Survey Data ◽  
Visual Imagery ◽  
Visual Rhetoric ◽  
Representative Sample ◽  
Figurative Language ◽  
Dynamic Interaction ◽  
Female Consumers ◽  
Selection Of ◽  
Metaphor And Metonymy

In a 2017 landmark reform, Saudi authorities decided to lift the ban on women driving in this conservative society. In tribute to women's newly-gained freedom to drive, major automakers turned to Twitter to launch creative femvertising campaigns that vividly articulate the female empowering motto 'driving is feminine'. Building on the eloquence of visual rhetoric, which combines the communicative force of figurative language with the expressive potential of visual imagery, automobile advertisers resorted to visual metaphtonymy to efficiently target prospective female consumers. The selection of this visual compound, which emerges from the intricate interplay between metaphor and metonymy, allows for a dynamic interaction between the highlighting function of metonymy and the mapping role of metaphoric thought to establish informed parallels between femininity and automobility. Analysis of survey data on the likeability, complexity and effectiveness of a representative sample of four digital automobile advertisements asserts the role and value of visual metaphtontonymy in automobile femvertising.

scholarly journals Mapeo del consumo de medios en los jóvenes: redes sociales, 'fake news' y confianza en tiempos de pandemia

2021 ◽  
Vol 11 (2) ◽  
pp. 187-208
Author(s):  
Ana Pérez-Escoda ◽  
◽  
Gema Barón-Dulce ◽  
Juana Rubio-Romero ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Three Dimensions ◽  
Media Consumption ◽  
Quantitative Methodology ◽  
Fake News ◽  
Redes Sociales ◽  
Generation Z ◽  
The Media ◽  
Major Transformation ◽  
Source Of Information

The explosion of the Covid-19 pandemic has led to a major transformation in media consumption and the use of social networks. New habits and extensive exposure to connected devices coupled with unmanageable amounts of information warn of a worrying reality, especially among the younger population. The aim of this research is to discover the degree of trustworthiness of Generation Z towards the media, their media consumption preferences and the association they make between media consumption and fake news. Using a descriptive and exploratory quantitative methodology, a study is presented with a sample of 225 young people belonging to this population niche. The study addresses three dimensions: media consumption, social networks and perception of fake news. The results show that generation Z is an intensive consumer of the media they trust the least and perceive traditional media as the most trustworthy. The findings indicate that social networks are the main source of information consumption for this ge­neration, among other content, despite also being the least trustworthy and the most likely to distribute fake news according to their perceptions. There is a lack of media literacy from a critical rather than a formative perspective.

scholarly journals Students’ Perception and Attitudes toward Faculty Image on Social Networks

2021 ◽  
pp. 63-74
Author(s):  
Milena Vukić ◽  
Snežana Milićević ◽  
Ksenija Vukić
Keyword(s):  
Social Networks ◽  
Social Media ◽  
New Technology ◽  
Common Source ◽  
Positive Perception ◽  
Promotion Strategy ◽  
Promising Solution ◽  
And Gender ◽  
Source Of Information ◽  
Selection Of

Purpose of this paper is to determine how students perceive the image of their faculty on social networks, but also to analyse their experience and attitudes towards faculty social media strategy. The research was implemented using descriptive statistic techniques, as well as non-parametric tests such as Mann-Whitney U Test, Kruskal-Wallis H Test and Spearman’s Rho. The most common source of information when it comes to enrolment to faculty is word of mouth, while social media have a signifi-cantly lower credibility. During their schooling the respondents have most confidence in the official website, and far less in social networks. Such findings signalize the necessity of creating an adequate digital marketing strategy that can significantly improve the perceived faculty image. Positive perception of the image is fundamental for understanding the process of searching for and selection of the faculty, especially since the results have shown that the students do not value highly the image their faculties have on social networks. Positive perception of faculty image mostly depends on promotion strategy on Facebook and Insta-gram, and far less on LinkedIn and Twitter. In addition, students value more the image of the faculty whose social network pro-file they follow and, in a case, when they are followed back. No correlation was found between faculty image and gender, age or average grade. Therefore, we can conclude that social networks are very important in creating positive image and thanks to new technology, they are a promising solution for differentiation from competition in digital space.

Performance Analysis of a Web Server

2009 ◽  
pp. 366-379
Author(s):  
Jijun Lu ◽  
Swapna S. Gokhale
Keyword(s):  
Rapid Development ◽  
Web Server ◽  
Web Servers ◽  
Software Infrastructure ◽  
Software Configuration ◽  
Performance Requirements ◽  
Use Of The Internet ◽  
Stringent Performance ◽  
Source Of Information ◽  
Selection Of

With the rapid development and widespread use of the Internet, Web servers have become a dominant source of information and services. The use of Web servers in business and critical application domains imposes stringent performance requirements on them. These performance requirements cast a direct influence on the choice of the configuration options of the hardware and the software infrastructure on which a Web server is deployed. In addition to the selection of configuration options, for a given level of load and a particular hardware and software configuration, it is necessary to estimate the performance of a Web server prior to deployment.

scholarly journals Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching

2019 ◽  
Vol 33 ◽  
pp. 395-402
Author(s):  
Xiao Yang ◽  
Madian Khabsa ◽  
Miaosen Wang ◽  
Wei Wang ◽  
Ahmed Hassan Awadallah ◽  
...  
Keyword(s):  
Question Answering ◽  
State Of The Art ◽  
Classification Problem ◽  
Classification Model ◽  
Training Set ◽  
Community Based ◽  
Multi Scale ◽  
Adversarial Training ◽  
Source Of Information ◽  
Different Levels

Community-based question answering (CQA) websites represent an important source of information. As a result, the problem of matching the most valuable answers to their corresponding questions has become an increasingly popular research topic. We frame this task as a binary (relevant/irrelevant) classification problem, and present an adversarial training framework to alleviate label imbalance issue. We employ a generative model to iteratively sample a subset of challenging negative samples to fool our classification model. Both models are alternatively optimized using REINFORCE algorithm. The proposed method is completely different from previous ones, where negative samples in training set are directly used or uniformly down-sampled. Further, we propose using Multi-scale Matching which explicitly inspects the correlation between words and ngrams of different levels of granularity. We evaluate the proposed method on SemEval 2016 and SemEval 2017 datasets and achieves state-of-the-art or similar performance.

scholarly journals A photometric selection of white dwarf candidates in Sloan Digital Sky Survey Data Release 10

2015 ◽  
Vol 448 (3) ◽  
pp. 2260-2274 ◽  
Author(s):  
Nicola Pietro Gentile Fusillo ◽  
Boris T. Gänsicke ◽  
Sandra Greiss
Keyword(s):  
Survey Data ◽  
White Dwarf ◽  
Sloan Digital Sky Survey ◽  
Sky Survey ◽  
Data Release ◽  
Selection Of
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