After this, it should be possible to get records from different databases, some
with many records, some with a few. This is a good testing ground for merging
rankings! Test first with a round-robin, and plot the scores.
+
+Thu 28-Nov
+Ok, I can now merge a number of SOLR databases (harvest jobs), and plot their rankings
+as solr gives them, in the order of different merge strategies
+Next: Add the normalizing merge strategy. Then plot different strategies against different queries
+Write a conclusion, and consider this plotting job done
+
+
+Fri 13-Dec-2013
+Adam is adding a float type to pazpar2. I have made a prrof of concept of the normalizing
+by curve fitting. I think it is time to close this branch, and start (re)implementing
+things in the main branch. Keep the old branch around for reference!
+
+Need new config options:
+ - sort: native, native + position
+ - or per target: native score / fake score from position / use tf/idf
+ - per target: weight for combining rankings (cluster merge), so we can trust one
+ target more than others
+ - per target: boost rankings
+
+Start coding:
+ - in relevance-prepare-read, go through records, collect scores in arrays (per target),
+ - fit the curve, normalize the scores.
+ - cluster scoring
+
projects / pazpar2-moved-to-github.git / blobdiff