Cincinnati Web Design - Web Usage Mining for Personalized Websites
If you are using an outdated system to manage your website content, then there are lots of potential problems, including the possibility that the site could get hacked, as mentioned earlier.
Online, March 19, 2010 (Newswire.com) - The reason being older versions are a lot easier to hack. Because, when a version goes out of date, the developer stops working on its security vulnerabilities. Hackers generally look for those security holes and they will use them to their advantage.
Pattern discovery is the next step of the personalization process. A different data mining techniques, such as clustering, classification, association rule mining, and sequential pattern analysis, is used to discover interesting blueprint from web usage data.
Clustering is used to group users with common browsing behavior. The authors in implement a Profile system which captures client selected links, page order, page viewing time, and cache references. That information is used to cluster users with similar interests. The work in proposes a recommendation engine which considers the association rules between different web pages, and the derivation of URL clusters based on two types of clustering techniques in conjunction with the active user session. The recommendations are then added to the last requested page as a set of links before the page is sent to the client browser.
There a lot of companies who still treat their website like a 2nd rate brochure. Also there are a lot of people who feel that it is just a place put your logo and phone number. We should always ensure that our old website is updated.
Organization regulations or sequential guide discovery methods support the detection of related pages or navigation patterns which can be used afterward to recommend new web pages to the visitors of a website. The work in provides a framework for web personalization based on association rule mining from click-stream data.
In general, personalization techniques are divided into offline and online techniques. Offline personalization is based on simple user profiling and manual decision rule systems. Web usage mining is an online personalization data source.
By evaluating site behavior and usage, a view about the website user is gained which yields to more effective personalization strategies. User profiles are an important source of data for data personalization.
For more information see following links:
http://topranktactics.com
http://topranktactics.com/2009/12/14/why-you-should-upgrade-your-website
http://topranktactics.com/creative-content