Device detection, the User Agent and beyond

Device detection, the User Agent and beyond Barcelona, 18 June 2009
Andrea Trasatti
Director of Technology Strategy

Device detection
The User-Agent string approach:
left-to-right search
Levenshtein distance
regular expressions/keywords
Very simple API, i.e. fast implementation Going past the User-Agent string, using more HTTP request headers UAProf URL So why not just UAProf URL?

New DeviceAtlas API
Use of Evidence (i.e. full HTTP request headers)
DeliveryContext object
Open and extensible
W3C DDR Simple API compliant
dotMobi extension: Cache provider

Use Case 1: Web Application

Use Case 2: Log Analysis

Normal API deployment

Http and Application Server Extensions

Detection in the cloud The greatest experts in “clouds” live in Ireland Image by etrusia_uk, http://www.flickr.com/photos/e_phots/2642111978/

No setup
No update hassle
Manage your local cache if you want to save resources
Detection in the cloud $ curl -d key=12345 -d User-Agent=NokiaN73 -d X-Wap-Profile=http://nds1.nokia.com/profiles/N73.rdf http://deviceatlas.appspot.com/query

The future of adaptation
Integration with frameworks such as ASP.NET and JSF
Automatic image resizing
Smart forms using Javascript and XHR
Smart styling (selection of CSS, use of simple or advanced features, interaction with DOM and Javascript)

References
Levenshtein distance, http://en.wikipedia.org/wiki/Levenshtein_distance
DeviceAtlas, http://deviceatlas.com
mobiForge, http://mobiforge.com
W3C DDR Simple API recommendation, http://www.w3.org/TR/DDR-Simple-API/
DeviceAtlas “in the cloud”, http://deviceatlas.appspot.com/query

Thank you
Andrea Trasatti
Director of Technology Strategy
[email_address]
@AndreaTrasatti

Device detection, the User Agent and beyond

by Andrea Trasatti on Jun 22, 2009

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