Table 2 Additional features for diversity-biased learning-to-rank model.
From: Learning to rank diversified results for biomedical information retrieval from multiple features
Feature | Description |
|---|---|
#RelAsp | Number of relevant aspects the passage contains. |
#NonRelAsp | Number of irrelevant aspects the passage contains. |
#NewRelAsp | Number of new relevant aspects the passage contains compared with afore ranked passages. |
#OldRelAsp | Number of relevant aspects that already existed in afore ranked passages. |
NewAspPsg | Ratio of passages that contains new aspects with all afore ranked passages. |
%RelAsp | Ratio of number of relevant aspects with all aspects before current rank position. |
%UniqRelAsp | Ratio of unique relevant aspects with all aspects before current rank position. |