Automobile Online Service Portal

2021 ◽  
Vol 9 (VI) ◽  
pp. 719-724
Author(s):  
Mohd Saad Umair Ansari
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Time Slot ◽  
Simple Approach ◽  
Customer Relationship ◽  
Online Service ◽  
Web Based ◽  
Online Delivery ◽  
Customer Feedback ◽  
Manual Tasks

In Today’s era where almost everything has moved their services online. Delivery of Groceries, Food, Electronics, and even Furniture have adopted smart ways to provide services. The approach is to provide a portal that will help in the reduction of manual tasks as much as possible. The goal is to bring service providers and customers on one platform. This Portal if modified, can also be used by other service providers that work based on appointment. Dealers can list their features along with their prices. For better interaction with customers, Portal also provides Customer Feedback and Customer Grievance, both are one on one services that are helpful in productivity and customer relationship. So, the simple approach is providing a system that will reduce the manual tasks, for instance, customers can book an appointment as necessary and the service provider will a time slot accordingly. Implementation is web-based.

scholarly journals Undue Process: Challenges for Rightholders and Service Providers Implementing Section 512’s Notice and Takedown Provisions

2016 ◽  
Author(s):  
Jennifer Urban
Keyword(s):  
Information Sharing ◽  
Random Sample ◽  
Service Provider ◽  
Due Process ◽  
Service Providers ◽  
Copyright Law ◽  
Third Party ◽  
Online Service ◽  
Trade Associations ◽  
Technical Requirements

*Abstract: *This paper empirically examines the 17 U.S.C. § 512 notice and takedown process as implemented by the Texas online service provider, The Planet. We reviewed a random sample of notices from a population of all notices processed by The Planet from August 2004 to June 2007. We used a mixed methodology, qualitatively assessing the notices, and running quantitative checks to ensure that we were not mistakenly over- or understating the importance of qualitative findings. Because the notices most clearly show sender behavior, we focus on senders’ use of section 512; we then more generally discuss the possible effects of sender behavior on targets and OSPs. We conclude that section 512 continues to be useful for copyright holders; in addition, it undoubtedly provides important innovation-promoting protection for intermediaries. Yet the section 512 regime also shows serious strain in practice, at least within our observed set of notices. A considerable group of senders have difficulty following section 512’s technical requirements and understanding the substantive underlying copyright law. Further, as expected, the large copyright industries appear to be challenged by peer-to-peer filesharing — a problem for which the notice and takedown framework does not provide immediate relief — leading them to make broader demands than are supported by section 512. Finally, the emerging dominance of third-party rights enforcement organizations ("REOs") and trade associations, which have incentives to generate notices and achieve takedowns, add a layer of complexity to the process. Ultimately, these strains, and senders’ responses to them, likely affect both OSPs and targets. Overall, they prompt concerns about due process for targets and potential harms to Internet expression. We reaffirm our previous suggestions for reform, and call for greater information sharing and transparency to help rebalance and strengthen the section 512 process.Available at SSRN: http://ssrn.com/abstract=2694348

Fuzzy rule based SLA generation algorithms for web based multi party negotiation systems

2020 ◽  
Vol 39 (6) ◽  
pp. 8345-8356
Author(s):  
M. Alamelu ◽  
T.S. Pradeep Kumar ◽  
V. Vijayakumar
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Service Level Agreement ◽  
Fuzzy Rule ◽  
Service Level ◽  
Rule Base ◽  
Web Based ◽  
Multilateral Negotiation ◽  
Service Consumer

Service Level Agreement (SLA) is an agreement between the service provider and consumer to provide the verifiable quality of services. Using the valuable metrics in SLA, a service consumer could easily evaluate the service provider. Though there are different types of SLA models are available between the consumer and provider, the proposed approach describes the Fuzzy rule base SLA agreement generation among multiple service providers. A negotiation system is designed in this work to collect the different sets of provider services. With their desired quality metrics, a common Fuzzy based SLA report is generated and compared against the existing consumer requirements. From the analysis of the common agreement report, consumers can easily evaluate the best service with the desired Impact service, cost and Quality. The main advantage of this approach is that it reduces the time consumption of a consumer. Moreover, the best service provider can be selected among multiple providers with the desired QoS parameters. At the same time, the bilateral negotiation is enhanced with the approach of multilateral negotiation to improve the searching time of consumers.

scholarly journals Notice and Takedown: Online Service Provider and Rightsholder Accounts of Everyday Practice

2018 ◽  
Author(s):  
Jennifer Urban ◽  
Joe Karaganis ◽  
Brianna L. Schofield
Keyword(s):  
Qualitative Study ◽  
Best Practices ◽  
Empirical Research ◽  
Service Provider ◽  
Service Providers ◽  
Everyday Practice ◽  
Online Service ◽  
Legal Reforms ◽  
Copyright Enforcement ◽  
Online Service Providers

Section 512 of the Digital Millennium Copyright Act established both "safe harbors" from liability for online service providers and the well-known "notice and takedown" process for removing online infringements of copyrighted material. In the ensuing two decades, the notice and takedown process has become a primary tool for raising and resolving copyright disputes in the United States.But despite its influence, there is little empirical research describing § 512's operation or its effectiveness. This article digests findings from a qualitative study, reported fully in the three-study report, Notice and Takedown in Everyday Practice (available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2755628) and peer-reviewed here, that helps fill this gap. Through detailed surveys and interviews with nearly three dozen respondents, we provide the first detailed account of how § 512 is implemented and experienced by online service providers and large rightsholders. All respondents agreed that the § 512 safe harbors and the ability to take down infringing material remain fundamental. But the online copyright enforcement ecosystem is also highly diverse, and all participants face challenges. The findings suggest that the notice and takedown system is important, under strain, and that there is no "one size fits all" approach to improving it. Based on the findings, we suggest a variety of best practices and limited legal reforms.

Successful Web-Based IT Support Services

2010 ◽  
pp. 952-971
Author(s):  
Vanessa Cooper ◽  
Sharman Lichtenstein ◽  
Ross Smith
Keyword(s):  
Service Provider ◽  
Support Services ◽  
Service Providers ◽  
Theory And Practice ◽  
Web Based ◽  
Provider Perceptions ◽  
It Service ◽  
Key Stakeholders ◽  
It Support ◽  
Self Service

Web-based self-service systems (WSSs) are increasingly leveraged for the delivery of after-sales information technology (IT) support services. Such services are offered by IT service providers to customer firms and increasingly involve business partners. However little is known of the challenges faced by IT service providers as a result of the involvement of the other firms and their employees (end-users). This paper reports related findings from an interpretive study of IT service provider perceptions in six multinational IT service provider firms (Cooper, 2007). The findings highlight that, for IT service providers, (1) it is important to consider and resolve the needs and concerns of other key stakeholders, and (2) significant challenges exist in doing so. The main contribution of the paper is the identification of the key challenges involved. Important implications for theory and practice are discussed.

Optimization of an M/M/∞ Queueing System with Free Experience Service

2016 ◽  
Vol 33 (06) ◽  
pp. 1650051 ◽  
Author(s):  
Ying Shi ◽  
Xin Li ◽  
Ping Fan
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Service System ◽  
Service Level ◽  
Online Service ◽  
Typical Situation ◽  
Linear Partial Differential Equations ◽  
Service Rates ◽  
Benefits And Costs ◽  
Online Service Providers

It is a common practice for online service providers to offer free experience service to attract new clients. However, providing experience service requires resources, which may negatively impact current service level and lead to customer turnover. Therefore, providers need to trade off between consequent benefits and costs. We consider a free experience service system where each arriving customer can start his service immediately without waiting, which is a typical situation of many online service platforms. A queueing model with infinite number of servers is employed to study such a service system. The closed forms of the expected numbers of informed and uninformed customers in steady-state are derived by solving nonhomogeneous linear partial differential equations. After that, the expected profit of the service provider is generated and maximized by determining the optimal price and service rates. Our numerical results suggest that with the increase of the market share and the serving cost for the informed customers, the service provider should lay more emphasis on offering the regular service for the informed customers.

Successful Web-Based IT Support Services

2011 ◽  
pp. 1069-1089
Author(s):  
Vanessa Cooper ◽  
Sharman Lichtenstein ◽  
Ross Smith
Keyword(s):  
Service Provider ◽  
Support Services ◽  
Service Providers ◽  
Theory And Practice ◽  
Web Based ◽  
Provider Perceptions ◽  
It Service ◽  
Key Stakeholders ◽  
It Support ◽  
Self Service

Web-based self-service systems (WSSs) are increasingly leveraged for the delivery of after-sales information technology (IT) support services. Such services are offered by IT service providers to customer firms and increasingly involve business partners. However little is known of the challenges faced by IT service providers as a result of the involvement of the other firms and their employees (end-users). This paper reports related findings from an interpretive study of IT service provider perceptions in six multinational IT service provider firms (Cooper, 2007). The findings highlight that, for IT service providers, (1) it is important to consider and resolve the needs and concerns of other key stakeholders, and (2) significant challenges exist in doing so. The main contribution of the paper is the identification of the key challenges involved. Important implications for theory and practice are discussed.

Choosing Clouds for an Enterprise

2013 ◽  
Vol 4 (2) ◽  
pp. 38-53
Author(s):  
Ruay-Shiung Chang ◽  
Chih-Shan Liao ◽  
Chuan-Yu Liu
Keyword(s):  
Cloud Computing ◽  
Dynamic Characteristics ◽  
Service Provider ◽  
Service Providers ◽  
Evaluation Model ◽  
Cloud Service ◽  
Cloud Services ◽  
Web Based ◽  
The Past ◽  
Cloud Service Providers

The development of cloud computing has advanced rapidly over the past few years. Benefiting from the dynamic characteristics of cloud computing, enterprises can purchase cloud services based on different aspects in order to save operating expenses. Many companies have seen the opportunities and changes in either cloud service providers or cloud service consumers. For the latter, with so many cloud providers to choose from, there is a need for an evaluation of standards to help find the most suitable service provider. In this paper, the essential factors of enterprise clouds are discussed. An evaluation model is defined, and a web-based enterprise cloud selection application is implemented.

Applications of Data Mining in CRM Based on Web Log

2012 ◽  
Vol 446-449 ◽  
pp. 3762-3765
Author(s):  
Jian Ning Dang ◽  
Ai Qin Zhang ◽  
Wei Jing
Keyword(s):  
Data Mining ◽  
Service Providers ◽  
Integrated Approach ◽  
Financial Service ◽  
Customer Relationships ◽  
Customer Relationship ◽  
Web Based ◽  
Future Success ◽  
Key Factor

Nowadays, under intensified competition, winning and keeping customers is becoming more and more important. Company must focus on building long-term relationships with their customers for continuously adding market share. For defeating other financial service providers, the banks should have the ability to address their customers' preferences and priorities effectively, and should strategically use this understanding in every area to establish and strengthen long-term customer relationships. Consequently, systematic and web-based customer relationship management (CRM) will be a key factor to future success for financial service institutions. This thesis research explored advanced data mining technologies for building a best next offer predictive model, and focused on providing an integrated approach to improve performance of the prediction.

scholarly journals Implementation of Movie Recommendation System Using Machine Learning

2020 ◽  
pp. 587-593
Author(s):  
S. Sridevi ◽  
Celeste Murnal
Keyword(s):  
Machine Learning ◽  
Service Provider ◽  
Recommendation System ◽  
Service Providers ◽  
Learning Algorithm ◽  
Web Based ◽  
Ensemble Learning Algorithm ◽  
Movie Recommendation ◽  
High Possibility ◽  
Content Based Filtering

As world is evolving, similarly people's desire, trend, interests are also changing. Same way even in the field of movies, people want to watch the movies according to their interest. Many web-based movie service providers have emerged and to increase their business and popularity, they want to keep their subscribers entertained. To improve their business, the service provider should recommend movies which users might like, so that they might watch another movie and be entertained. By doing this there is high possibility that customers will periodically renew the web-based movie service provider application. The objective of this project is to implement the machine learning based movie recommendation system which can recommend the movies to the users based on their interest and ratings. To achieve this, content-based filtering is used to recommend movie based on movie-movie similarity, collaborative based filtering is used to compute features based on user information and movie information. The proposed system uses the new ensemble learning algorithm, XGBoost algorithm to improve the performance. The results show that the proposed system is effective for movie recommendation and the system minimizes the root mean square error (RMSE).

Sign in / Sign up

Export Citation Format

Share Document