We use Neural Networks to extract text transcripts from our video stream, the process is extremely complicated as the stream is in Arabic which is a fairly complex language.
the system is fed with the actual transcript for some videos so it can learn with time and minimize error.
the overall system is incredibly useful as you can search the video stream of a TV channel for a specific keyword.
I have also used self organizing maps before for creating a recommendation engine.
I think it works a better than typical recommendation engines because you can feed the network features based on multiple criterias (in addition to taxonomies, you can also feed user geographic location, and click patterns etc ..)
the system is fed with the actual transcript for some videos so it can learn with time and minimize error.
the overall system is incredibly useful as you can search the video stream of a TV channel for a specific keyword.
I have also used self organizing maps before for creating a recommendation engine.
I think it works a better than typical recommendation engines because you can feed the network features based on multiple criterias (in addition to taxonomies, you can also feed user geographic location, and click patterns etc ..)