预测并非记忆：用于持久用户建模的双时间尺度门控配置文件写入
Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling
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中文总结 AI 辅助
研究推荐系统中持久用户配置文件更新问题，提出双时间尺度门控配置文件写入方法，通过近/远离线协议及SPW-Gate控制器，降低远期配置文件对齐损害，保留较高写入覆盖率，证明该方法优势。
中文摘要 AI 辅助
持久用户配置文件在推荐系统中日益充当可重用的记忆，但常见的更新管道混淆了两个决策：预测交互以及决定该交互是否应持久保留在配置文件中。观察到交互后，许多系统将其视为更新持久用户状态的证据。当事件反映瞬态上下文、探索、曝光或短期满意度而非稳定的偏好形成时，这种假设可能有害。我们将此边界表述为选择性配置文件写入控制：观察到交互后，系统应决定是否以及以多强的力度将其写入持久配置文件。我们引入了一种按时间顺序的近/远离线协议，其中近期证据提供弱写入风险监督，远期证据留作评估。我们将控制器实例化为SPW-Gate，这是一种使用长期、短期和候选配置文件漂移特征的轻量级写入风险门控。在MicroLens-100K上，在主协议下，全部写入更新在22.45%的测试用例中损害了远期配置文件对齐。SPW-Gate将损害降低到约14.5%，同时保留约77%的写入覆盖率。匹配覆盖率控制和预测置信度基线表明，这种收益不仅仅是少写入的副产品，并且下一项置信度不是持久写入有效性的充分代理。
英文摘要
Persistent user profiles increasingly serve as reusable memory in recommender systems, but common update pipelines conflate two decisions: predicting an interaction and deciding whether it should persist in the profile. After an interaction is observed, many systems treat it as evidence for updating durable user state. This assumption can be harmful when the event reflects transient context, exploration, exposure, or short-term satisfaction rather than stable preference formation. We formulate this boundary as selective profile-write control: after an observed interaction, a system should decide whether, and how strongly, to write it into the persistent profile. We introduce a chronological near/far offline protocol in which near-future evidence provides weak write-risk supervision and far-future evidence is reserved for evaluation. We instantiate the controller as SPW-Gate, a lightweight write-risk gate using long-term, short-term, and candidate-profile drift features. On MicroLens-100K, write-all updating hurts far-future profile alignment in 22.45% of test cases under the main protocol. SPW-Gate reduces far hurt to about 14.5% while preserving about 77% write coverage. Matched-coverage controls and prediction-confidence baselines show that the gain is not merely a by-product of writing less, and that next-item confidence is not a sufficient proxy for persistent write validity.
