2 papers
cs.IR2026
Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
Evangelia Christakopoulou, Vivekkumar Patel, Hemanth Velaga +3
Large-scale commercial search systems optimize for relevance to drive successful sessions that help users find what they are looking for. To maximize relevance, we leverage two com…
cs.IR2026
Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
Kai Yuan, Anthony Zheng, Jia Hu +9
Query Auto-Completion (QAC) suggests query completions as users type, helping them articulate intent and reach results more efficiently. Existing approaches face fundamental challe…