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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mikata-project/adcraft

공식 코드

AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization

https://github.com/mintelligence-group/cmfeed

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Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data

https://github.com/mnusrat786/emoji-prediction-with-transformer

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Emoji Prediction in Tweets using BERT

https://github.com/modultechnology/affective-models-corpora

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Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

https://github.com/mohitsharma29/comparision_data_bias_fairness

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On Comparing Fair Classifiers under Data Bias

https://github.com/mojtaba-Hsafa/OCR-browser-domain-extractor

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From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition

https://github.com/mtdjdsp/mt-lift

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Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing

https://github.com/nazeehgh/CostSensetive_Telemarketing_MOGA

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Modeling the Telemarketing Process using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach

https://github.com/nmattei/peerselection

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Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment

https://github.com/noodulz/dejaivu

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DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps

https://github.com/oppo-mente-lab/glyphdraw2

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GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models

https://github.com/pabitralenka/Customer-Feedback-Analysis

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Auto Analysis of Customer Feedback using CNN and GRU Network

https://github.com/philm5/mscoco-spo-triples

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Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for Marketing

https://github.com/predict-idlab/cct-cmc

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Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects

https://github.com/predict-idlab/cmc-learner

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Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects

https://github.com/qwe35/AdsGNN

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AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search

https://github.com/ragor114/InsertDiffusion

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InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture

https://github.com/rezacsedu/DDI-prediction-KG-embeddings-Conv-LSTM

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Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

https://github.com/ronak66/ABM-Influencer-Follower-Advertising-Framework

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Modeling Influencer Marketing Campaigns in Social Networks

https://github.com/roysoumya/brand-consistency-framework

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An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation

https://github.com/rubikloud/matrnn

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Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting

https://github.com/ruc-datalab/PASTA

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PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

https://github.com/ruijiang81/cst

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Enhancing Counterfactual Classification via Self-Training

https://github.com/ryan-thompson/glmmsel

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Scalable Subset Selection in Linear Mixed Models

https://github.com/ryoryon66/taam

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Theme Aspect Argumentation Model for Handling Fallacies

https://github.com/salesforce/creativity_eval

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AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation

https://github.com/saurabhsharma1993/dynamic_viral_marketing

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Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks

https://github.com/slientge/sequential_recommendation_tensorflow

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Sequential Recommendation Model for Next Purchase Prediction

https://github.com/snap-stanford/caml

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Zero-shot causal learning

https://github.com/snudatalab/coheat

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Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating

https://github.com/solislemuslab/dna-nn-theory

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Towards a robust out-of-the-box neural network model for genomic data

https://github.com/spirka3/master-cnn

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Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer Vision

https://github.com/thalesbertaglia/chatgpt-explanations-sponsored-content

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Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media

https://github.com/theoverhelst/uplift-predictive-paper

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Uplift vs. predictive modeling: a theoretical analysis

https://github.com/turn/ModelEvaluation

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Online Model Evaluation in a Large-Scale Computational Advertising Platform

https://github.com/vub-dl/u-cmab

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Optimising Individual-Treatment-Effect Using Bandits

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