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Click-Through Rate Prediction

27 papers with code · Miscellaneous

Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.

( Image credit: Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction )

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Greatest papers with code

Representation Learning-Assisted Click-Through Rate Prediction

11 Jun 2019oywtece/deepmcp

These subnets model the user-ad, ad-ad and feature-CTR relationship respectively.

CLICK-THROUGH RATE PREDICTION REPRESENTATION LEARNING

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

22 May 2019UIC-Paper/MIMN

To our knowledge, this is one of the first industrial solutions that are capable of handling long sequential user behavior data with length scaling up to thousands.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Click-Through Rate Prediction with the User Memory Network

9 Jul 2019rener1199/deep_memory

Both offline and online experiments demonstrate the effectiveness of MA-DNN for practical CTR prediction services.

CLICK-THROUGH RATE PREDICTION

An End-to-End Neighborhood-based Interaction Model forKnowledge-enhanced Recommendation

12 Aug 2019Atomu2014/KNI

This paper studies graph-based recommendation, where an interaction graph is constructed built from historical records and is lever-aged to alleviate data sparsity and cold start problems.

CLICK-THROUGH RATE PREDICTION KNOWLEDGE GRAPHS

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

12 Oct 2019CRIPAC-DIG/Fi_GNNs

The key of this task is to model feature interactions among different feature fields.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction

4 Dec 2018niuchenglei/usm-dnn

With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role. Recently many DNN-based models which follow a similar Embedding&MLP paradigm have been proposed, and have achieved good result in image/voice and nlp fields.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Deep Character-Level Click-Through Rate Prediction for Sponsored Search

7 Jul 2017yrbahn/deep_match_ctr_prediction

Finally, by combining the predictions of the deep models introduced in this study with the prediction of the model in production of the same commercial search engine, we significantly improve the accuracy and the calibration of the click-through rate prediction of the production system.

CALIBRATION CLICK-THROUGH RATE PREDICTION