TLDR Tech / Data
How Vinted Serves Personalised Search Autocomplete
Vinted rebuilt its search autocomplete system, moving from static, generic suggestions to a hybrid approach combining a strong heuristic scoring model with a Learning-to-Rank (LTR) model. They score suggestions offline using popularity, sell-through rate, and usage signals, index them with clever prefix and fuzzy matching techniques, then apply a LightGBM model in real-time that incorporates user behavior and context to re-rank results.
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