Key technologies of artificial intelligence in electric power customer service

As the demand for customer service continues to increase,more companies are attempting to apply artificial intelligence technology in the field of customer service,enabling intelligent customer service,reducing customer service pressure,and reducing operating costs.Currently,the existing intelligent customer service has a limited degree of intelligence and can only answer simple user questions,and complex user expressions are difficult to understand.To solve the problem of low accuracy of multi-round dialogue semantic understanding,this paper proposes a semantic understanding model based on the fusion of a convolutional neural network(CNN)and attention.The model builds an“intention-slot”joint model based on the“encoding–decoding”framework and uses hidden semantic information that combines intent recognition and slot filling,avoiding the problem of information loss in traditional isolated tasks,and achieving end-to-end semantic understanding.Additionally,an improved attention mechanism based on CNNs is introduced in the decoding process to reduce the interference of redundant information in the original text,thereby increasing the accuracy of semantic understanding.Finally,by applying the model to electric power intelligent customer service,we verified through an experimental comparison that the proposed fusion model improves the performance of intent recognition and slot filling and can improve the user experience of electric power intelligent customer services.

Role of Effective Leadership on Empowerment,Effective Communication,and Motivation in Customer Service

Customer service is the act of supporting customers of a business that can break a business or generate profit in the competitive environment with growing customers’expectations.Regarding the critical role of customer service to differentiate between businesses,it is considered as one of the top considerations in businesses.However,there is a range of key factors that are tied to the success of a customer service provider in offering quality customer service that will eventually lead the business through exceeding or falling short in responding to customers’expectations.Besides,businesses are prone to face some challenges in the employment of customer services that are required to be addressed.This paper aims to discuss the importance of customer service and the establishment of an efficient customer service strategy in business considering different influential factors that affect offering quality customer services.It also explains challenges that businesses may face in providing amazing customer services and how to address them.

Chinese Telephone Number-Input Technology and Its Applications in a Customer Service Call Center

The Chinese intelligence input technology, its applications, and a customer service call center system are developed. This technology can be used both in standard English telephone number input keyboard and in Chinese telephone number input keyboard .And authors develop sophisticated technologies including "Pinyin" (the Chinese phonetic alphabet ) encoding technology of phonetic symbol code and formal symbol code of Chinese character structure, phrase encoding technology, input technology of whole sentence intelligence encoding and input technology of Chinese telephone number encoding.

A Civil Aviation Customer Service Ontology and Its Applications

In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.

No Recession in Customer Service

While the credit crunch continues to eat away at the world’s collective bank account, very few industries have been spared from its exhaustive influence. The hotel industry has been one of the first to suffer, as travelers have scaled down on their budgets.

Respecting Each Other and Being Loyal to ZTE Career Providing Refined Service and Focusing on Customers' Requirements Working Hard to Create Famous ZTE Brand Improving ZTE Efficiency with Scientific Management

ZTE Corporation is China’s largest listedtelecommunications equipment provider spe-cialized in offering a full range of tailor-madesolutions for customers in high-,middle-andlow-end markets.

Cloudera Manager扩展MariaDB服务的方法研究

大数据平台的优点在于能够快速处理超出单机能力的数据,平台中的数据仓库不仅具备存储功能,还兼具离线式的数据处理和分析能力。然而,数据仓库在服务响应方面效率不高,并且事务处理支持较弱,因此许多企业仍采用传统关系数据库提供查询和联机事务处理服务。Cloudera Manager管理的CDH可以动态扩展数据仓库,但不能部署关系数据库,为突破这局限性,以MariaDB为研究对象,并利用Cloudera Manager的扩展能力引入MariaDB parcel应用包和CSD管理包用来实现对其部署和管理。最终,经过实际验证,通过Cloudera Manager可视化动态部署和监控管理MariaDB服务是完全可行的,这为关系数据库服务的扩展奠定了基础。

Assessment of Food Service Quality of Chicken Republic and Mega Chicken Restaurants, Lagos, Nigeria

In this project, assessment of food service quality of two restaurants in Lagos was carried out. The study assessed quality of food served in Chicken Republic compared with Mega Chicken. Three hundred (300) copies of questionnaires were administered to the customers in Chicken Republic Restaurant while two hundred (200) copies questionnaires were administered to the customer in Mega Chicken Restaurant. In order to analyze the data, simple percentage method was adopted in which the respondents responded to variables like, quality of services, quality of food, healthy food, price and value and condition of environment as factors that determine their patronage. The result of the study showed that the customers prefer Mega Chicken. It also showed that there is a relationship between the customers’ satisfaction and customer patronage in a choice of restaurant. The result of the project could be of use to the intending restaurants’ operators to understand the trend and determinants of customers’ patronage. Recommendation is made that restaurant’s operation should intensify effort for training and retraining of the staff on customer delight.

Service Customized Space-Air-Ground Integrated Network for Immersive Media: Architecture, Key Technologies, and Prospects

The space-air-ground integrated network(SAGIN) is regarded as the key approach to realize global coverage in future network and it reaches broad access for various services. Being the new paradigm of service, immersive media(IM) has attracted users’ attention for its virtualization, but it poses challenges to network performance, e.g. bandwidth, rate, latency. However, the SAGIN has limitations in supporting IM services, such as 4 K/8 K video, virtual reality, and interactive games. In this paper, a novel service customized SAGIN architecture for IM applications(SAG-IM) is proposed, which achieves content interactive and real-time communication among terminal users. State-of-the-art research is investigated in detail to facilitate the combination of SAGIN and service customized technology, which provides endto-end differentiated services for users. Besides, the functional components of SAG-IM contain the infrastructure layer, perception layer, intelligence layer, and application layer, reaching the capabilities of intelligent management of the network. Moreover, to provide IM content with ultra-high-definition and high frame rate for the optimal user experience, the promising key technologies on intelligent routing and delivery are discussed. The performance evaluation shows the superiority of SAG-IM in supporting IM service.Finally, the prospects in practical application are high-lighted.

The college students' response to customized information services based on Library2.0 technologies at universities in Nanjing

Through a questionnaire survey of students’ response from 6 universities in Nanjing, this paper aims to determine their varying degrees of satisfaction about the customized information service based on Library2.0 technologies. In so doing, the authors carefully examined the data collected from the returned questionnaires about such key issues as the students’ perceptions about the customized information service via a Library2.0platform, self-initiated use experience of such a mechanism, their achieved information searching results vis-à-vis their expectations, etc. In addition, the authors also made a comparative study between information providers(i.e. librarians) and information consumers(i.e. students) at Chinese and American academic libraries.

A New Citizen Service for a New Age:Actions Taken by the Spanish Tax Administration

Tax Administrations make big efforts to provide citizens the information and assistance they need and have increased remote services through digital channels.However,customer service has deteriorated in many cases especially after the pandemic,due to lack of resources and sometimes impacted by the consequences of the extension of remote work.The Spanish Tax Administration has developed a new service strategy,which aims to deliver homogeneously any service as needed so that citizens can choose whatever service that is more convenient to them,remote or face-to-face.From the perspective of its staff,any staff will be enabled to provide any service through any channel.

Improved ant colony optimization for multi-depot heterogeneous vehicle routing problem with soft time windows

Considering that the vehicle routing problem （VRP） with many extended features is widely used in actual life, such as multi-depot, heterogeneous types of vehicles, customer service priority and time windows etc., a mathematical model for multi-depot heterogeneous vehicle routing problem with soft time windows （MDHVRPSTW） is established. An improved ant colony optimization （IACO） is proposed for solving this model. First, MDHVRPSTW is transferred into different groups according to the nearest principle, and then the initial route is constructed by the scanning algorithm （SA）. Secondly, genetic operators are introduced, and crossover probability and mutation probability are adaptively adjusted in order to improve the global search ability of the algorithm. Moreover, the smooth mechanism is used to improve the performance of the ant colony optimization （ACO）. Finally, the 3-opt strategy is used to improve the local search ability. The proposed IACO was tested on three new instances that were generated randomly. The experimental results show that IACO is superior to the other three existing algorithms in terms of convergence speed and solution quality. Thus, the proposed method is effective and feasible, and the proposed model is meaningful.

On the Core Competence of China Real Estate Corporation

In the new economy and economy integration, the companies must focus on core competence in order to succeed in the fierce competition. As for China real estate Corporation, they must pay more attention to cultivating their core competence, which includes human resource, capital, house product, custom service and brand. As input, the high quality human resource and capital lead to high quality output--house product and custom service, all of which together create excellent brand. This cycle makes up the core competence of China real estate.

A Network Software Architecture Suitable for Service Customization

This paper explores the service customization in the view of network softwarearchitectures. The authors first abstract a network system into a framework that consists ofseveral layered basic systems and then propose a component-based network software architecture forone basic system of network software, which is suitable for service customization . The networksoftware architecture is formalized with the theory of Communicating Sequential Process and show itspossible applications in areas of personal service environment and service customization.

A Conceptual Model of Service Customization and Its Implementation

With the development of Internet and next generation networks in telecommunications, more and more new services are required to be introduced into networks. Introducing new services into traditional network is always associated with standardizing new protocols. The progress of protocol standardization usually takes several years, which cannot meet the increasing demands of the applications in Internet and next generation networks. Service customization in network systems may be one possible solution to cope with this problem. Based on the principle that network service is provided by interactions among protocol entities, this paper proposes a conceptual model of service customization (SECUM) by separating the service logic from protocol interactive logic within existing network architecture. The theory of Communicating Sequential Processes (CSP) is used to formalize the SECUM in order to locate exactly the service logic and to define precisely the SECUM. For validating the SECUM's usability in practical network systems, this paper also proposes an implementation model for SECUM: a component-based protocol implementation model (CPIM). CPIM discomposes protocol entity into application component, service component, message component and communication component. Service component associates application component with message component. Users or network managers can customize network services by configuring service component. The paper shows respectively the applications of SECUM and CPIM by proposing a customizable IP service model based on SECUM and describing an implementation of Session Initiation Protocol (SIP) based on CPIM. Compared with the existing service-customization techniques, SECUM is a service customization model internal to network system and may provide more powerful capabilities of service customization.

A QoS Based Reliable Routing Mechanism for Service Customization

Due to the rapid development of the Internet technology such as 5G/6G and artificial intelligence,more and more new network applications appear.Customers using these applications may have different individual demands and such a trend causes great challenges to the traditional integrated service and routing model.In order to satisfy the individual demands of customers,the service customization should be considered,during which the cost of Internet Service Provider(ISP)naturally increases.Hence,how to reach a balance between the customer satisfaction and the ISP profit becomes vitally important.Targeting at addressing this critical problem,this work proposes a service customization oriented reliable routing mechanism,which includes two modules,that is,the service customization module and the routing module.In particular,the former(i.e.,the service customization module)is responsible for classifying services by analyzing and processing the customer’s demands.After that,the IPv6 protocol is used to implement the service customization,since it naturally supports differentiated services via the extended header fields.The latter is responsible for transforming the customized services into specific routing policies.Specifically,the Nash equilibrium based economic model is firstly introduced to make a perfect balance between the user satisfaction and the ISP profits,which could finally produce a win-win solution.After that,based on the customized service policies,an optimized grey wolf algorithm is designed to establish the routing path,during which the routing reliability is formulated and calculated.Finally,the experiments are carried out and the proposed mechanism is evaluated.The results indicate that the proposed service customization and routing mechanism improves the routing reliability,user satisfaction and ISP satisfaction by about 8.42%,15.5%and 17.75%respectively compared with the classical open shortest path first algorithm and the function learning based algorithm.

An Optimal Resource Provision Policy in Cloud Computing Based on Customer Profiles

Conventional resource provision algorithms focus on how to maximize resource utilization and meet a fixed constraint of response time which be written in service level agreement（SLA）.Unfortunately,the expected response time is highly variable and it is usually longer than the value of SLA.So,it leads to a poor resource utilization and unnecessary servers migration.We develop a framework for customer-driven dynamic resource allocation in cloud computing.Termed CDSMS（customer-driven service manage system）,and the framework’s contributions are twofold.First,it can reduce the total migration times by adjusting the value of parameters of response time dynamically according to customers’profiles.Second,it can choose a best resource provision algorithm automatically in different scenarios to improve resource utilization.Finally,we perform a serious experiment in a real cloud computing platform.Experimental results show that CDSMS provides a satisfactory solution for the prediction of expected response time and the interval period between two tasks and reduce the total resource usage cost.

Same-day delivery time-guarantee problem in online retail

This study introduces the same-day delivery time-guarantee(SDDTG)problem for supporting online retail.In the SDDTG,orders are placed online and are processed and delivered from a depot to customer locations in the same day.The problem seeks optimal delivery time guarantees to offer customers as they consider making purchases to increase purchase decision likelihood while accounting for delivery-related,supply-side costs that can affect profits.Time guarantees are decision variables rather than parameters(as is typical)and are designed around anticipated customer satisfaction levels and purchase likelihoods.Delivery deadlines are not merely given to customers once they make their purchases,but rather the attractiveness of the offered delivery guarantees affects whether they make their purchases,i.e.,whether demand is realized.The problem is conceptualized as a multistage,stochastic,mixed-integer program in which uncertainties associated with customer reaction to delivery time guarantee offers and their arrival over time are captured.Given a shrinking horizon over a fixed planning horizon,the multi-stage program is approximated by a series of two-stage programs.A parallelized progressive hedging solution methodology is proposed and insights from its application on a case study.The problem recognizes tradeoffs between meeting promised delivery times and capturing the market.