Hi Pat, I did some study and understood some of those complexities, and some are yet far to be understood. You have put really nice presentation in the doc site.
I really appreciate your work and help. Thank you very much! On Sat, Apr 8, 2017 at 10:12 AM, Vaghawan Ojha <[email protected]> wrote: > Hi Pat, > > Thank you very much for the explanation, seems like I forgot to properly > search this question in the group. By ranking you means the order of the > product right? > > Also I wanted to replicate such dot products of all user history vector > segments against the correlator fields in the model in a very very small > data, so that I could have a test of what's really working behind. And also > I wanted to learn about the implicating algorithms. I've seen the > presentation in the doc site of UR. Should you have any resources which > could lead me to better understand all these please point me. > > Thanks > Vaghawan > > On Sat, Apr 8, 2017 at 12:16 AM, Pat Ferrel <[email protected]> wrote: > >> The limit depends on your data. I tell people to ignore the value as you >> do when searching (no one uses the score when doing searches do they?) Only >> the ranking/ordering makes any real difference. >> >> The score is the sum of dot products of all user history vector segments >> against the correlator fields in the model. If you boost or add properties >> to your queries they multiply times some of the dot products before >> summation. So given any boosting the max is hard to state and we have found >> no particular use for it. Other tuning parameters give you the best ways of >> affecting the score so looking at the score afterwards is not very helpful >> except to rank results. >> >> >> On Apr 7, 2017, at 1:02 AM, Vaghawan Ojha <[email protected]> wrote: >> >> Hi, >> >> I was just curious, how does the score works in the UR, I've seen the UR >> presentation in the documentation site, but I couldn't be sure what it >> really signifies. >> >> For example: what's the limit of the score? What's the possibly highest >> score? >> >> Thanks >> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "actionml-user" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> To post to this group, send email to [email protected]. >> To view this discussion on the web visit https://groups.google.com/d/ms >> gid/actionml-user/CA%2B69RXbuZU6ujHgQWpTizTigXpvahzMeR86c5MP >> 6EL%2BCr32ZzA%40mail.gmail.com >> <https://groups.google.com/d/msgid/actionml-user/CA%2B69RXbuZU6ujHgQWpTizTigXpvahzMeR86c5MP6EL%2BCr32ZzA%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> >> >
