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Everything about Click-through rate
Percentage of views on a certain web page that made a desired click
Click-through rate (CTR) is the ratio of clicks on a specific link to the number of times a page, email, or advertisement is shown. It is commonly used to measure the success of an online advertising campaign for a particular website, as well as the effectiveness of email campaigns. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Click-through rateA 5-minute orientation
- Skim a recent paper: Learning to Retrieve User Behaviors for Click-through Rate EstimationInfluential work since 2022
- Pick up a classic book: American FilmThe most-reprinted book on the subject
- Read the landmark paper: Deep Interest Evolution Network for Click-Through Rate PredictionCited 931 times
- Go sideways: Cost per milleA closely related topic
- Go sideways: Search advertisingA closely related topic
📖 Definitions
Noun A ratio of the number of clicks on a unit of online advertising to the number of times it is shown.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Deep Interest Evolution Network for Click-Through Rate Prediction
Click-through rate prediction in online advertising: A literature review
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
Attentive capsule network for click-through rate and conversion rate prediction in online advertising
Field-Aware Neural Factorization Machine for Click-Through Rate Prediction
Deep Field Relation Neural Network for click-through rate prediction
Click-through rate prediction using transfer learning with fine-tuned parameters
Multi-view feature transfer for click-through rate prediction
🆕 Influential since 2022
Learning to Retrieve User Behaviors for Click-through Rate Estimation
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Interpretable click-through rate prediction through distillation of the neural additive factorization model
📚 Books worth reading
American FilmAmerican Film Institute · 1975
A reader in marketing communicationsPhilip J. Kitchen · 2005
SimCity 2000Daniel A. Tauber, Brenda Kienan · 1994- 📕Boost Click-Through RateJake Grand · 2021
- 📕Boost Click-Through RateJordan businessguy · 2021
- 📕CLICKBANK PLUS BING ADS $20 000 in Commissions and Still Growing! Simple Easy to Follow Method Is Proven to Get High Click Through and Conversion RatesBrian Graves · 2017
Winning results with Google AdWordsAndrew Goodman · 2005
survival companion for medical students, graduates and interns · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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