Marketing
113 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Marketing
| Trend | Dataset | Best Model | Paper | Code | Compare |
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BIG-bench
Most implemented papers
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Many scientific and engineering challenges -- ranging from personalized medicine to customized marketing recommendations -- require an understanding of treatment effect heterogeneity.
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Xovee/ccgl
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The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented opportunities to explore and exploit the trajectories and structures of the evolution of information cascades.
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
easezyc/MetaHeac
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Besides, MetaHeac has been successfully deployed in WeChat for the promotion of both contents and advertisements, leading to great improvement in the quality of marketing.
Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey
Probabilistic graphical models combine the graph theory and probability theory to give a multivariate statistical modeling.
Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream
In marketing we are often confronted with a continuous stream of responses to marketing messages.
A Deep One-Shot Network for Query-based Logo Retrieval
AyanKumarBhunia/Deep-One-Shot-Logo-Retrieval
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Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.
Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
This paper describes the approach to extend, evaluate, and implement the mRMR feature selection methods for classification problem in a marketing machine learning platform at Uber that automates creation and deployment of targeting and personalization models at scale.
Interpretable Click-Through Rate Prediction through Hierarchical Attention
xue-pai/FuxiCTR
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International Conference on Web Search and Data Mining 2020
For this problem, existing approaches, with shallow or deep architectures, have three major drawbacks.
Targeting customers under response-dependent costs
This study provides a formal analysis of the customer targeting problem when the cost for a marketing action depends on the customer response and proposes a framework to estimate the decision variables for campaign profit optimization.
TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
On social media, Arabic people tend to express themselves in their own local dialects.
