# Learning to Rank

# Models

Point Wise vs Pair wise vs List Wise

learning_to_rank_diff_approaches

learning_to_rank_ranklib

# Click Models

Random Click Model: Every document has the same chance of being clicked.

Click Through Rate Model: Uses the fact that the dirst doc is clicked far more than the second document.

Cascade Model : a click in the third item also tells us something about the first two items. Only one click per session is assumed.

Dynamic Bayesian Network Model: Supports multiple clicks in a search session and the difference actual relevance of a document.

learning_to_rank_dynamic_bayesian

# Reference

Ebay Click Modeling for eCommerce (opens new window)

Notes on Click Model (opens new window)