Personalized Search, Part 1: From Clicks to Conversions — How We Tuned Preferred Retailer Boosting…
中文摘要
通过分析三个月转化数据，我们设计了性别感知重排序算法，系统性优化了零售商偏好搜索，有效提升了点击与转化率。
English Summary
By analyzing three months of conversion data, we designed a gender-aware re-ranking algorithm to optimize retailer preference search, effectively boosting click-through and conversion rates.
Original Excerpt
How we mined three months of production conversion data, designed a gender-aware re-ranking formula, and ran a systematic weight sweep to… Continue reading on Medium »