The number of patents in which Facebook is the assignee currently surpasses the 5000. Not all these patents are closely related to our research, certainly – but how to make a good selection amongst such a huge amount of documents? The interface of the service we chose to use made it possible to use filters which certainly help ‘optimize’ the number of results. By using specific search terms, the displayed results are tailored to what one knows to be relevant. But what about the words that one does not know that could also be relevant? How can one have an overview of the existing content while selecting relevant pieces from it? This blog post is a brief overview of how we approached this issue. Continue reading “Mining patent data – preliminary results”
Month: September 2017
Soft biopolitics?
During the month of August, furthering my reading of ‘We Are Data’ by John Cheney-Lippold provided me with some very useful concepts that I would like to share. Continue reading “Soft biopolitics?”
A Tale of 3 Patents
Before Lucia and me decided to take a more systematic and scalable approach towards the selection of relevant patents, I performed a manual, preliminary search at Fresh Patents which yielded around 100 results containing certain important keywords in the title (e.g.: categorizing, targeting, clustering, etc). From this preliminary selection, I read three patents: Continue reading “A Tale of 3 Patents”
Mining patent data
Our mapping strategy relies on understanding the processes employed by Facebook to make inferences about their users. One possible way to accomplish that is by having a look at the patents they published. Continue reading “Mining patent data”