No abstract

Abstract-The amazing usage of internet as a communication channel has changed the very structure of companies activities, being education a clear example of this situation.Though data mining has been successfully used to improve the 1-to-1 relationship in e-commerce sites, when applied to elearning environments the results are often limited to provide the educator with access summary information or primitive patterns. In any case, information being obtained is not being used proactively. For enviroments to profit from the information obtained it has to be integrated in a global infrastructure. This paper presents the design of a data e-learning web-house as supporting structure for future e-learning personalized systems.

No abstract

The fiercely competitive web-based electronic commerce (e-commerce) environment has made necessary the application of intelligent methods to gather and analyze information collected from consumer web sessions. Knowledge about user behavior and session goals can be discovered from the information gathered about user activities, as tracked by web clicks. Most current approaches to customer behavior analysis study the user session by examining each web page access. However, the abstraction of subsessions provides a more granular view of user activity. Here, we propose a method of increasing the granularity of the user session analysis by isolating useful subsessions within sessions. Each subsession represents a high-level user activity such as performing a purchase or searching for a particular type of information. Given a set of previously identified subsessions, we can determine at which point the user begins a preidentified subsession by tracking user clicks. With this information we can (1) optimize the user experience by precaching pages or (2) provide an adaptive user experience by presenting pages according to our estimation of the user's ultimate goal. To identify subsessions, we present an algorithm to compute frequent click paths from which subsessions then can be isolated. The algorithm functions by scanning all user sessions and extracting all frequent subpaths by using a distance function to determining subpath similarity. Each frequent subpath represents a subsession. An analysis of the pages represented by the subsession provides additional information about semantically related activities commonly performed by users.

No abstract

No abstract

No abstract

Electronic commerce is a rising variable. The total value of transactions carried out through the Internet increases with each passing day. But this growth implies the development of web pages to support electronic commerce.The aim of this work is to present the different stages of web page development found in companies in Malaga (Spain). Thus we analyse if the pages actually allow electronic commerce or are simply informative.A total of 1,488 pages have been evaluated. Almost 80% of these firms limit their presence on Internet to strictly informative web pages provided by the telephone company.A little over the remaining 20% have their own URL, but less than 13% of the total are active. So, only 190 pages appear in the final count.Slightly over half of these 190 pages offer the products of the companies and allow some contact with the client, but 26 pages (13.58%) are still only informative. Fully developed pages, from an electronic commerce point of view, amounted to under 6%.The present findings are far from allowing us to assert that most companies have implemented an electronic commerce system. Unless most companies feel the need for being on Internet, they do not believe their presence to be a valuable commercial channel for them. Consequently, for the time being, only a minority of companies, and belonging to very concrete sectors, carry out fully electronic commerce.