
Retrieving Highly Relevant Data Using A Natural Language Search
When a user executes a database search or internet search, the user may exhibit tendencies to open certain file types or use certain search parameters. The operating system can learn these tendencies and automatically apply filters to retrieve results that conform to these parameters.
Publication Date
23 June 2009
Tags
user preference filteringClick here to download link on ip.com
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What we are trying to do?
We are attempting to mobilize the creativity and innovative capacities of the Linux and broader open source community to codify the universe of preexisting inventions in defensive publications that upon publication in the IP.COM database will immediately serve as effective prior art that prevents anyone from having a patent issued that claims inventions that have already been document in a defensive publication. In addition to creating a vehicle to utilize this highly effective form of IP rights management for known inventions, it is hoped that the community will use defensive publications as a means of codifying future inventions should the inventors prefer not to make their invention the subject of a patent disclosure and application.