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LTV Prediction Model In Installment Scenarios

1. Background In many businesses with recurring payments—e.g. installment plans, subscription services, financing, insurance renewals etc.—one key task is to estimate the lifetime value (LTV) of a customer. We call this pLTV (predicted lifetime value). For why we need to estimate LTV: With pLTV, we can acquire more valuable new users from advertise platforms (e.g. Google Ads, Meta Ads etc.) With pLTV, our financial team can estimate the company’s cash flow in the near future and make better decisions In our setting, because the cash flows accrue monthly (or at some periodic cadence), we may want to estimate the predicted LTV at the end of each month, and potentially project out over a long horizon (e....

DNN回归模型中的不确定性估计

背景 Jerry.ai是一家欧美主营车险的中介平台，对接几十家车险公司，每年的报价（quoting）请求数上亿。但由于报价系统（quoting...

Twitter推荐系统概览

Twitter去年开源推荐系统代码到现在一年多了，一直没时间去看一看，今天想起来瞄了会，本文简单记录下。开源：系统代码：https://gi...

控制模型创造力的艺术——LLM Decoding策略解析

什么是Decoding策略在使用GPT类产品的时候，不妨问一下自己这些问题：同一个 prompt，为什么模型有时说的不一样？ Chatbot里面...

CVR建模技术梳理

在之前的工作中负责过一段时间转化率的建模，这里对转化率建模的技术作一个简单梳理。我把CVR建模中会遇到的主要问题分成3类（如图）：多目标建模...