Traditional checkout systems are labor-intensive and can be a source of great frustration for customers having to wait in line. In contrast, automated checkout systems seamlessly scan, total and charge a customer’s purchase to a registered payment account while they are simply leaving the store. We focus on the main challenge of automatically detecting customer purchases. To this end, we develo...

Traditional multi-user applications are designed to provide the same functional and non-functional responses to all the users. However, customers of the contemporary applications may have different expectations from the application. To design an application with the ability to meet diverse requirements of customers, is a recurring problem in various domains including software applications. This...

Finding books in large libraries can be difficult for novice library users. This paper presents the current status of SmartLibrary, a web-based guidance application helping library customers in this task. We present a comparative evaluation where users tested the service in the main library of University of Oulu with fixed and mobile devices. The evaluation confirmed that SmartLibrary is a usef...

In this paper, based on the Mobile E-commerce Platform, we implement the Information Retrieval System of image-based high-level semantic by using the feature extraction algorithm based on object semantic. By way of optimizing the image feature extraction algorithm, improving the structure of the traditional Search Engine and increasing the carrying capacity of mobile terminals, we will solve a ...

This paper studies a queuing model where two customer classes compete for a given resource and each customer is dynamically quoted a menu of price and leadtime pairs upon arrival. Customers select their preferred pairs from the menu and the server is obligated to meet the quoted leadtime. Customers have convex– concave delay costs. The firm does not have information on a given customer’s type, ...

A fuzzy algorithm of web customers evaluation based on rough set is presented. Key attributes can be gotten through rough set. The evaluation from the data objects based on key attributes can reduce the data size and algorithm complexity. After Clustering analysis of customers, then the evaluation analysis will process to the clustering data. There are a lot of uncertain data in customer cluste...

Background: Agile methods are starting to get established not only in new business organizations, but also in organizations dealing with innovation and early product development in more traditional branches like automotive industry. Customers of those organizations demand a specified quality of the delivered products. Objective: Adapt the PROFES Improvement Methodology for use in an industrial,...

This study provides deeper insight in the link between service quality and customer satisfaction. The traditional assumption of a linear relationship is challenged by exploring asymmetries and dynamics. The simultaneous influence of service quality and customer experience on satisfaction is examined by means of nonlinear structural equation modeling. Results show that functional-utilitarian qua...