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I thought it would be a good chance to test out the accuracy. The airline's website had been updated, so I know the information was "out there" about the fligh
by fnid2 17y ago
I thought it would be a good chance to test out the accuracy. The airline's website had been updated, so I know the information was "out there" about the flight status. I know you are using predictive algorithms, but you may also try to get some kind of feed for actual flight status when possible. I know that kind of polling is expensive, but it's probably the only way to avoid this problem in the future.
This particular flight was canceled because something was wrong with the plane. There were guys working on it for an hour before the flight was due to leave.
Thanks for the response Jason. It's a good service, this may have been an anomaly.
- physcab 17y agoIt seems like in this situation Flightcaster might benefit from doing some sort of sentiment analysis on twitter and cross check that with their machine generated recs. If any twitter data exists, they could assign a weight that might be proportional to the number of tweets.
- fnid2 17y agoThe issue with that approach is largely a performance one, judging from what I know of flightcaster. If they have to issue a search to twitter for the flight info, the user has to wait on it. If they constantly poll, then there are thousands of flights and they have to poll them regularly to make sure they have the latest info on the flight. IIRC, the current algorithms include historical ontime percentages and weather, but I don't remember reading about them using the realtime web or airline's websites to gather it. Of course I don't really know what I'm talking about, it's all conjecture.