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2011 Apr 01
2
New Idea on Ranking in IR
...upervised learning. If we can extract
features for a query and intial retrieval of documents pairs then we can say
which document should come above which. Basically search engine requires
relevant documents in top order, because user gnerally never bothers to
click on the next page of the retrieval rether he chooses to modify the
query.
In Laarning to Rank (Letor) we prepare the features which can represent a
query document pair. So now after the initial retrieval we take say first 20
or 30 documents and represent them in form of feature vactors, now based on
the training data our supervised leanin...