An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavior. Traditionally data mining techniques are deployed in order to provide effective recommendation based on large population of customer transactions in real time. Customer transactions are likely to be imprecise and i...

Previous studies have found out the positive relationship between customer participation and employee service innovation behavior. In the era of the experience economy, moreover, customer participation is an effective method to solve the lag problem of employee service innovation. Using questionnaire data collected between April and July 2016 from 20 service enterprises in Fuzhou, Xiamen, and Q...

This study used the partial least squares (PLS) approach to examine the effect of corporate reputation on the customer loyalty of the Food and Beverages Industry in Nigeria. The data for this study were collected from the customers in Kano State Nigeria. Out of 250 distributed questionnaires, 212 usable questionnaires were returned. Before examining the effect of corporate reputation on the cus...

Contemporary companies try to build customer relationship management systems based on the customer social relations and behavioral patterns. This is in correspondence with the current trend in marketing that is to move from broadcast marketing operation to a one-to-one marketing. The key issue in this activity is predicting to which products or services a particular customer was likely to respo...

With increased rate in the usage of the World Wide Web (www) is growing both in its complexity and the volume of traffic of web site, it has become very important to analyze this web traffic and the usage of the web site by the users. Web usage mining is a main research area in web mining focused on learning about web users and their interaction with web sites. The information like server log, ...

Businesses offering video-on-demand (VoD) and downloadable-CD sales are growing in the Internet. Batching of requests coupled with a one-to-many delivery mechanism such as multicast can increase scalability and efficiency. There is very little insight into pricing such services in a manner that utilizes network and system resources efficiently while also maximizing the expectation of revenue. I...

World Wide Web is a huge repository of web pages and links. It provides abundance of information for the Internet users. The growth of web is tremendous as approximately one million pages are added daily. Users’ accesses are recorded in web logs. Because of the tremendous usage of web, the web log files are growing at a faster rate and the size is becoming huge. Web data mining is the applicati...

Web usage mining is the application of data mining techniques to discover usage patterns and behaviors from web data (clickstream, purchase information, customer information, etc.) in order to understand and serve e-commerce customers better and improve the online business. In this article, we present a general data warehouse/online analytic processing (OLAP) framework for web usage mining and ...