Table 1 Features for general learning-to-rank model.
From: Learning to rank diversified results for biomedical information retrieval from multiple features
Feature | Description |
|---|---|
TF-IDF | Term frequency inverse document frequency. |
BM25 | Okapi BM25 model [21]. |
DFR BM25 | The DFR version of BM25 [23]. |
InL2 | An algorithm derived from the divergence from randomness (DFR) framework [23]. |
DLH13 | An DLH hyper-geometric DFR model (parameter free) [23]. |
DirKL | KL-divergence language model with Dirichlet smoothing [22]. |
Hiemstra LM | Hiemstra's language model [24]. |
ProxQT | Proximity of Query Terms: Intuitively, the more close the query terms occur in a document, the more likely the document would be relevant [25]. |