Papers with Code 아카이브

Marketing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/carvalhaes-ai/audience-expansion

공식 코드

Reframing Audience Expansion through the Lens of Probability Density Estimation

https://github.com/causalml/efficient_estimation_surrogate

공식 코드

On the role of surrogates in the efficient estimation of treatment effects with limited outcome data

https://github.com/chaitnayabasava/dfw-pp

공식 코드

DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content

https://github.com/chaymafourati/TUNIZI-Sentiment-Analysis-Tunisian-Arabizi-Dataset

공식 코드

TUNIZI: a Tunisian Arabizi sentiment analysis Dataset

https://github.com/clarkdinh/chusp

공식 코드

Mining compact high utility sequential patterns

https://github.com/crusnic-corp/BN-AuthProf

공식 코드

BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts

https://github.com/daan-caljon/OTAPI

공식 코드

Optimizing Treatment Allocation in the Presence of Interference

https://github.com/danaesavi/micd-influencer-content-twitter

공식 코드

A Multimodal Analysis of Influencer Content on Twitter

https://github.com/davidklim/dlglm_paper

공식 코드

Deeply-Learned Generalized Linear Models with Missing Data

https://github.com/deavega/KOL-SBR011

공식 코드

Tinjauan atas Efektivitas Penggunaan Key Opinion Leader (KOL) dalam Penjualan Surat Utang Negara Ritel seri SBR011

https://github.com/declare-lab/awesome-sentiment-analysis

공식 코드

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

https://github.com/dongjunkang/vim

공식 코드

From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models

https://github.com/easezyc/MetaHeac

공식 코드

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising

https://github.com/ellisalicante/openfilter

공식 코드

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters

https://github.com/felixyu/pSVM

공식 코드

On Learning from Label Proportions

https://github.com/fengtong-xiao/DMBGN

공식 코드

DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction

https://github.com/fidelity/jurity

공식 코드

Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth

https://github.com/fsant0s/ERASMO

공식 코드

ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation

https://github.com/gregfaletto/presto

공식 코드

Predicting Rare Events by Shrinking Towards Proportional Odds

https://github.com/guangyi-zhang/max-submodular-ranking

공식 코드

Ranking with submodular functions on a budget

https://github.com/harangju/mindmeld-survey-mockup

공식 코드

Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance

https://github.com/hcho3/xgboostaftpapercode

공식 코드

Survival regression with accelerated failure time model in XGBoost

https://github.com/hitsz-tmg/multimodal-in-context-tuning

공식 코드

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation

https://github.com/ignatpolezhaev/mds-vitnet

공식 코드

MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer

https://github.com/jj-vice/bagm

공식 코드

BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models

https://github.com/jmdvinodjmd/HLearner

공식 코드

Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes

https://github.com/karthikpuranik11/fire2021

공식 코드

IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages

https://github.com/katerynak/Influence-Maximization

공식 코드

Graph-Aware Evolutionary Algorithms for Influence Maximization

https://github.com/l3cube-pune/MarathiNLP

공식 코드

L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models

https://github.com/lhan87/hope

공식 코드

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation

https://github.com/lichao-sun/sorareview

공식 코드

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

https://github.com/massimilianoluca/overlap-processing

공식 코드

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

https://github.com/mateuszwilinski/dynamic-message-passing

공식 코드

Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations

https://github.com/mathiaskraus/MarketBasket

공식 코드

Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching

https://github.com/matthewvowels1/TVAE_release

공식 코드

Targeted VAE: Variational and Targeted Learning for Causal Inference

https://github.com/midas-research/persuasion-advertisements

공식 코드

Persuasion Strategies in Advertisements

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.