1. The paper proposes techniques to extract hidden databases when a user query returns many valid tuples but only some are displayed, with the others hidden.
2. It focuses on interfaces called "TOP-k-COUNT" interfaces that display some tuples and provide the count of other matching tuples.
3. The COUNT-DECISION-TREE algorithm samples the hidden database using a decision tree to generalize the attribute order, allowing different attributes at each level.