Marketing

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 161 papers with code (952 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
  14 Oct 2015 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  Many scientific and engineering challenges -- ranging from personalized medicine to customized marketing recommendations -- require an understanding of treatment effect heterogeneity.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
  31 May 2021 3 repositories listed
  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.
• A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
  22 May 2020 3 repositories listed Syntology ran 2 of 17 samples · 15 unverified
  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…
• TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
  29 Apr 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  On social media, Arabic people tend to express themselves in their own local dialects.
• Explaining Large Language Models Decisions Using Shapley Values
  29 Mar 2024 2 repositories listed
  The emergence of large language models (LLMs) has opened up exciting possibilities for simulating human behavior and cognitive processes, with potential applications in various domains, including marketing research and…
• Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
  7 Feb 2024 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  Our approaches combine weighted conformal predictive systems with either analytic convolution of potential outcome distributions or Monte Carlo sampling, addressing covariate shift through propensity score weighting.
• Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction
  1 Aug 2023 2 repositories listed
  Inspired by natural evolution, we propose a general Cognitive EvoLutionary Search (CELS) framework, where cognitive ability refers to the malleability of organisms to orientate to the environment.
• Deep learning for Background Replacement in Video Conferencing
  12 Jun 2023 2 repositories listed
  Background replacement is one of the most used features in video conferencing applications by many people, perhaps mainly for privacy protection, but also for other purposes such as branding, marketing and promoting…
• What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
  1 Dec 2022 2 repositories listed
  Here, we introduce a novel task - EXCLAIM, generating explanations for visual semantic role labeling in memes.
• Survival regression with accelerated failure time model in XGBoost
  8 Jun 2020 2 repositories listed
  In this work, we implement loss functions for learning accelerated failure time (AFT) models in XGBoost, to increase the support for survival modeling for different kinds of label censoring.
• Targeting customers under response-dependent costs
  13 Mar 2020 2 repositories listed
  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…
• Interpretable Click-Through Rate Prediction through Hierarchical Attention
  20 Jan 2020 2 repositories listed
  For this problem, existing approaches, with shallow or deep architectures, have three major drawbacks.
• Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform
  15 Aug 2019 2 repositories listed
  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…
• A Deep One-Shot Network for Query-based Logo Retrieval
  4 Nov 2018 2 repositories listed
  Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.
• Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream
  28 Feb 2018 2 repositories listed
  In marketing we are often confronted with a continuous stream of responses to marketing messages.
• Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey
  29 Nov 2011 2 repositories listed
  Probabilistic graphical models combine the graph theory and probability theory to give a multivariate statistical modeling.
• Scalable Subset Selection in Linear Mixed Models
  25 Jun 2025 1 repository listed
  This paper closes the gap with a new ℓ₀ regularized method for LMM subset selection that can run on datasets containing thousands of predictors in seconds to minutes.
• Must Read: A Systematic Survey of Computational Persuasion
  12 May 2025 1 repository listed
  Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, marketing, and law.
• Person detection and re-identification in open-world settings of retail stores and public spaces
  1 May 2025 1 repository listed
  In the case of person re-identification task the main goal is to retrieve information whether the specific person has appeared in another place at a different time instance of the same video, or over multiple camera…
• AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation
  10 Apr 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We then train specialized Writing Quality Reward Models (WQRM) of various sizes for writing quality assessment that demonstrate strong generalization on four out-of-distribution test sets and 74% accuracy on the WQ…
• GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs
  31 Mar 2025 1 repository listed
  In an age where information spreads rapidly across social media, effectively identifying influential nodes in dynamic networks is critical.
• Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
  23 Mar 2025 1 repository listed
  AI personality prompt randomization revealed that AI traits can complement human personalities to enhance collaboration.
• Qini curve estimation under clustered network interference
  27 Feb 2025 1 repository listed
  In this paper, we address the problem of Qini curve estimation under clustered network interference, where interfering units form independent clusters.
• A Multifacet Hierarchical Sentiment-Topic Model with Application to Multi-Brand Online Review Analysis
  26 Feb 2025 1 repository listed
  Multi-brand analysis based on review comments and ratings is a commonly used strategy to compare different brands in marketing.
• The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
  16 Feb 2025 1 repository listed
  Language is far more than a communication tool.
• Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
  12 Feb 2025 1 repository listed
  Estimating individualised treatment effect (ITE) -- that is the causal effect of a set of variables (also called exposures, treatments, actions, policies, or interventions), referred to as \textit{composite treatments},…
• DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps
  12 Feb 2025 1 repository listed
  The recent surge in advanced generative models, such as diffusion models and generative adversarial networks (GANs), has led to an alarming rise in AI-generated images across various domains on the web.
• BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
  3 Dec 2024 1 repository listed
  This paper focuses on author profiling in the Bangla language, aiming to extract valuable insights about anonymous authors based on their writing style on social media.
• The Rise and Fall of Ideas' Popularity
  27 Nov 2024 1 repository listed
  In the dynamic landscape of contemporary society, the popularity of ideas, opinions, and interests fluctuates rapidly.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.