Generative Query Suggestion via Intent Coverage and Query-Level Credit Assignment
Proposes a generative query suggestion method using intent coverage and query-level credit assignment.
Generative query suggestion aims to enhance user engagement by anticipating user intents and recommending relevant follow-up queries. A central challenge is to generate slates whose individual queries are useful while the slate covers distinct intents. We propose an Intent-Driven Query Suggestion Framework with dual-stage optimization. First, intent-aware diversity modeling constructs intent-aligned supervised fine-…
