Timeline for non query-based document ranking
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 9, 2014 at 21:36 | comment | added | DACW | A quick update .. Ive implemented this logic and the results have come out pretty well. Built on Python NLTK and gensim. im exploring opportunities to use information gain to add in some measure of "usefulness" using information gain or something like that . LSI is also an option here. | |
| Sep 18, 2014 at 13:40 | comment | added | Charlie Greenbacker | If you have a controlled vocabulary of terms you care about, you could boost the score of those specific items. | |
| Sep 17, 2014 at 13:30 | comment | added | DACW | Exploring weighted TD-IDF to introduce conscious bias of sorts. | |
| Sep 11, 2014 at 13:58 | comment | added | Charlie Greenbacker | What are you hoping to achieve by boosting the TF-IDF scores of known keywords? | |
| Sep 10, 2014 at 11:00 | comment | added | DACW | Thanks. Im looking at weighted TF-IDF in cases were the key-words are already known . any suggestions for that ? | |
| Sep 8, 2014 at 0:47 | history | answered | Charlie Greenbacker | CC BY-SA 3.0 |