AI RESEARCH
Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking
arXiv CS.AI
•
ArXi:2605.27429v1 Announce Type: cross Industrial video-on-demand (VOD) recommenders need richer content understanding, but LLM-as-reranker designs repeat prompt construction, token generation, model invocation, output parsing, and fallback handling for each request. In high-volume latency-sensitive services, these request-time operations complicate throughput planning, tail-latency control, capacity isolation, and predictable operation. This paper presents Ocean4Rec, a reranking layer that uses an LLM only offline to materialize item OCEAN profiles from content metadata.