Research Reading: Approaches to click-through rate estimation (2/x) 🤓

Part 2 of the CTR estimation research series: examining Yahoo! Research's Deeply Supervised Semantic Model for sponsored search click prediction.

CTR Prediction Sponsored Search Deep Semantic Models Ads ML

Continuing part one of this segment, I will share yet another research reading specifically related to click-through rate (CTR) estimation viz. Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search by Yahoo! Research and Temple University published in March 2018.

According to Google Ads Help, CTR is a ratio showing how often people who see your ad end up clicking it. It can be used to gauge how well your keywords and ads are performing.

Illustration 1 — Research Reading: Approaches to click-through rate estimation 2x Illustration 2 — Research Reading: Approaches to click-through rate estimation 2x Illustration 3 — Research Reading: Approaches to click-through rate estimation 2x Illustration 4 — Research Reading: Approaches to click-through rate estimation 2x Illustration 5 — Research Reading: Approaches to click-through rate estimation 2x Illustration 6 — Research Reading: Approaches to click-through rate estimation 2x Illustration 7 — Research Reading: Approaches to click-through rate estimation 2x Illustration 8 — Research Reading: Approaches to click-through rate estimation 2x Illustration 9 — Research Reading: Approaches to click-through rate estimation 2x Illustration 10 — Research Reading: Approaches to click-through rate estimation 2x Illustration 11 — Research Reading: Approaches to click-through rate estimation 2x Illustration 12 — Research Reading: Approaches to click-through rate estimation 2x Illustration 13 — Research Reading: Approaches to click-through rate estimation 2x Illustration 14 — Research Reading: Approaches to click-through rate estimation 2x Illustration 15 — Research Reading: Approaches to click-through rate estimation 2x

Hope this quick overview of the research paper helps someone out there 👋🏻

PS: Part 3 of this segment with an overview of Deep Interest Evolution Network for Click-Through Rate Prediction by Alibaba Group coming up soon!

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