Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking 事件

Rethinking Sales Lead Scoring with LLM-based Hierarchical Preference Ranking arXiv:2606.04387v1 Announce Type: cross Abstract: Sales lead conversion in high-stakes domains (e.g., automotive, real estate) differs fundamentally from e-commerce recommendation due to prolonged decision cycles and multi-stage funnels. Traditional lead scoring methods rule-based scorecards, machine learning, or pointwise CTR models face severe challenges: sparse supervision, a semantic gap in unstructured CRM logs, a