Adaptive website
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An Adaptive website is a website that builds a model of user activity and modifies the information and/or presentation of information to the user in order to better address their needs.
Overview
An adaptive website adjusts the structure, content, or presentation of information in response to measured user interaction with the site, with the objective of optimizing future user interactions. Adaptive websites may be defined as "are web sites that automatically improve their organization and presentation by learning from their user access patterns."[1].
User interaction patterns may be collected directly on the website or may be mined from Web server logs. A model or models are created of user interaction using artificial intelligence and statistical methods. The models are used as the basis for tailoring the website for known and specific patterns of user interaction.
Techniques
- The collaborative filtering method: Collected user data may be assessed in aggregate (across multiple users) using machine learning techniques to cluster interaction patterns to user models and classify specific user patterns to such models. The website may then be adapted to target clusters of users.
- The statistical hypothesis testing method: [[A/B testing] or similar methods are used in conjunction with a library of possible changes to the website or a change-generation method (such as random variation). This results in the automated process website change, impact assessment, and adoption of change. Some examples include genetify for website look and feel, and snap ads for online advertising.
Differentiation
User landing pages from portal websites that allow the user to customize the presented content (such as iGoogle) are not adaptive websites as they rely on the user to select rather than the automation selection of the web widget's that appear on the website.
See also
Notes
- ^
Perkowitz, Mike (1997). "Adaptive Web Sites: an AI Challenge" (PDF). Proc. IJCAI-97.
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References
- J.D. Velásquez and V. Palade, "Adaptive Web Sites: A Knowledge Extraction from Web Data Approach", IOS Press, 2008
- Mike Perkowitz, Oren Etzioni, "Adaptive Web Sites: an AI Challenge", in: Proc. IJCAI-97, Nagoya, Japan, 1997.
- Mike Perkowitz, Oren Etzioni, "Towards adaptive Web sites: Conceptual framework and case study", Artificial Intelligence 118(1-2), 2000
External links
- Adaptive Web Sites, puremango.co.uk, June 14th, 2009
- Adaptive Web Site research, 2002
- genetify: An unobtrusive way to A/B test and optimize webpages
- snapads