Wurfl patch .xml

This saves developers effort needed to create their own logic to address common business questions. Developers can use these capabilities to provide more fine-grained optimization, control, and analytics. With this insight into the affluence and willingness to purchase of individual users, eCommerce and advertisers can tailor offers and ads appropriately.

ScientiaMobile quickly identifies new devices, including long-tail Indian and Chinese devices, and delivers high-quality device intelligence updates to commercial customers every week. Over 15 years, ScientiaMobile has developed an efficient data structure and well-tuned API search algorithms, delivering high-performance device detection that does not sacrifice quality and accuracy. A new device data snapshot is released weekly on Sunday night. It can do this with no interruptions to serving requests.

ScientiaMobile works steadily to deliver API improvements that increase accuracy, accelerates speed, and supports new device capabilities and features.

If your business or organization has a requirement to add new groupings or new WURFL capabilities to better describe or categorize devices, then you can create your own with the patch file mechanism. When the WURFL is parsed, the patch file is also imported to build a modified version of the device database. Customers receive enterprise-level ticketed support.

Support specialists with over 30 years combined experience in device detection provide fast responses to developers. ScientiaMobile actively moderates and responds to the enterprise-level tickets. Receive onboarding or enterprise-level ticketed support. ScientiaMobile actively monitors support tickets.

All rights reserved. Start Trial. Start Trial Request Quote. Product Details. Key Point Enables real-time device detection for applications providing mobile optimization, advertising, and device analytics. Supported Platforms Java, Scala,. Released 01 Nov Spent a week sifting through 30, unique user agents over and over again while making adjustments to the UserAgentMatchers. The device detection is now extremely accurate.

Not only will it detect mobile devices accurately, it is also very good at differentiating between wireless and non wireless devices. Here are the major changes:. With the introduction of desktop browser UserAgentMatchers, we no longer need to use the large web patch; instead, you can just use the 8KB one from wurfl. Also, I fixed some typos and bugs here and there. NOTE: if you are upgrading from version 2. You can leave the terawurflcache table if you want to retain your cache.

Although it will still technically work even if you don't delete the tables, you will be orphaning some unecessary tables in your database. Released 20 Oct Complete code-rewrite from the ground up.

The 2. Released 09 May Fixed a bug that prevented the updating system from working correctly over the web. If you have version 1. Released 27 Oct Fixed issues with incorrectly identified device root resulting in the wrong device image being used. Released 26 Oct Initial public release.