About

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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Datasets

Greatest papers with code

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

14 Mar 2018microsoft/recommenders

On one hand, the xDeepFM is able to learn certain bounded-degree feature interactions explicitly; on the other hand, it can learn arbitrary low- and high-order feature interactions implicitly.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

DKN: Deep Knowledge-Aware Network for News Recommendation

25 Jan 2018microsoft/recommenders

To solve the above problems, in this paper, we propose a deep knowledge-aware network (DKN) that incorporates knowledge graph representation into news recommendation.

CLICK-THROUGH RATE PREDICTION COMMON SENSE REASONING RECOMMENDATION SYSTEMS

FLEN: Leveraging Field for Scalable CTR Prediction

12 Nov 2019shenweichen/DeepCTR

By suitably exploiting field information, the field-wise bi-interaction pooling captures both inter-field and intra-field feature conjunctions with a small number of model parameters and an acceptable time complexity for industrial applications.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

23 May 2019shenweichen/DeepCTR

In this paper, a new model named FiBiNET as an abbreviation for Feature Importance and Bilinear feature Interaction NETwork is proposed to dynamically learn the feature importance and fine-grained feature interactions.

CLICK-THROUGH RATE PREDICTION FEATURE IMPORTANCE

Deep Session Interest Network for Click-Through Rate Prediction

16 May 2019shenweichen/DeepCTR

Easy-to-use, Modular and Extendible package of deep-learning based CTR models. DeepFM, DeepInterestNetwork(DIN), DeepInterestEvolutionNetwork(DIEN), DeepCrossNetwork(DCN), AttentionalFactorizationMachine(AFM), Neural Factorization Machine(NFM), AutoInt, Deep Session Interest Network(DSIN)

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

15 May 2019shenweichen/DeepCTR

Deep learning based methods have been widely used in industrial recommendation systems (RSs).

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

9 Apr 2019shenweichen/DeepCTR

Easy-to-use, Modular and Extendible package of deep-learning based CTR models. DeepFM, DeepInterestNetwork(DIN), DeepInterestEvolutionNetwork(DIEN), DeepCrossNetwork(DCN), AttentionalFactorizationMachine(AFM), Neural Factorization Machine(NFM), AutoInt, Deep Session Interest Network(DSIN)

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

29 Oct 2018shenweichen/DeepCTR

Afterwards, a multi-head self-attentive neural network with residual connections is proposed to explicitly model the feature interactions in the low-dimensional space.

CLICK-THROUGH RATE PREDICTION RECOMMENDATION SYSTEMS

Deep Interest Evolution Network for Click-Through Rate Prediction

11 Sep 2018shenweichen/DeepCTR

Easy-to-use, Modular and Extendible package of deep-learning based CTR models. DeepFM, DeepInterestNetwork(DIN), DeepInterestEvolutionNetwork(DIEN), DeepCrossNetwork(DCN), AttentionalFactorizationMachine(AFM), Neural Factorization Machine(NFM), AutoInt

CLICK-THROUGH RATE PREDICTION