I made the sample UA list from logs of our backend servers for mobile apps. Here is the list: https://www.dropbox.com/s/ne35o5etd7oj40f/ua_mobile_sample.csv.zip?dl=0
You are welcome. On Sat, Mar 28, 2015 at 8:12 PM, Reza Naghibi <[email protected]> wrote: > If you can make JIRA tickets for the missing devices, that would be great. > We still have one more 1.0.x release scheduled for the spring/summer. > > Also, yes, if you can upload the user-agent list you used somewhere, that > would be great. Where did you get these user agents from? > > thanks! > > On Sat, Mar 28, 2015 at 11:10 AM, Konstantin Papkovskiy < > [email protected]> wrote: > > > Hello all, > > > > I tested how effective DeviceMap in user device detection. I ran tests > on a > > dataset of 1M user agents (mostly mobile). Here are my results. > > > > Top 10 devices > > Device ID# of detections% of allgenericAndroid27784227.78%iPad648816.49% > > iPhone468034.68%NokiaN8-00345173.45%GT-I9300242152.42%unknown180231.80% > > > GT-I9100159501.60%GT-P3100147581.48%Nokia5800d140041.40%GT-P5100123321.23% > > > > > > DeviceMap data version: 1.0.2 > > DeviceMap gem version: 0.1.1 > > Number of user agents: 1 000 000 > > Number of unique user agents: 18 743 > > Number of successful detections: 981 977 > > Detection rate: 98.20 % > > Number of unique successful detections: 1 027 > > Detection rate (unique UA): 5.48 % > > *Detection rate (without genericAndroid): 70.42 %* > > > > As you can see, if I don't count "genericAndroid" and "unknown" then > > detection rate is about 70 %, which is rather low. If you add some of the > > most popular android UA to DM, its effectiveness will improve > drastically. > > But it will get progressively harder to increase this metric. > > > > I can provide the most popular UA from our logs if it will be useful. > > > > > > Regards > > > > Konstantin > > >
