{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/marketing/papers/4","list_of":"/task/marketing","task":"Marketing","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":4,"pages_in_order":10,"rows_per_page":100,"rows":[301,400],"of":952,"counts":{"archive_papers_tagged":952,"with_a_code_link":161,"where_syntology_ran_a_sample":8,"not_listed_spam_title":0,"listed":952,"listed_where_code_ran":8,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":7,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":7,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/marketing","prev":"/task/marketing/papers/3","next":"/task/marketing/papers/5","papers":[{"url":null,"slug":"on-your-mark-get-set-predict-modeling","title":"On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction","date":"2024-09-25","arxiv_id":"2409.16623","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-stance-detection-on-social-media","title":"A Survey of Stance Detection on Social Media: New Directions and Perspectives","date":"2024-09-24","arxiv_id":"2409.15690","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-learning-on-user-segmentation","title":"Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction","date":"2024-09-23","arxiv_id":"2409.14945","repositories_listed":0,"syntology":null},{"url":null,"slug":"hotvcom-generating-buzzworthy-comments-for","title":"HOTVCOM: Generating Buzzworthy Comments for Videos","date":"2024-09-23","arxiv_id":"2409.15196","repositories_listed":0,"syntology":null},{"url":null,"slug":"jamiu-bayero","title":"Jamiu Bayero","date":"2024-09-22","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-open-source-large-language-models-1","title":"Leveraging Open-Source Large Language Models for Native Language Identification","date":"2024-09-15","arxiv_id":"2409.09659","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-in-food-marketing-from-personalized","title":"AI in Food Marketing from Personalized Recommendations to Predictive Analytics: Comparing Traditional Advertising Techniques with AI-Driven Strategies","date":"2024-09-14","arxiv_id":"2410.01815","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-item-based-marketing-promotion","title":"Optimizing Item-based Marketing Promotion Efficiency in C2C Marketplace with Dynamic Sequential Coupon Allocation Framework","date":"2024-09-13","arxiv_id":"2409.08609","repositories_listed":0,"syntology":null},{"url":null,"slug":"cost-control-in-display-advertising-theory-vs","title":"Cost-Control in Display Advertising: Theory vs Practice","date":"2024-09-05","arxiv_id":"2409.03874","repositories_listed":0,"syntology":null},{"url":null,"slug":"nasdaq-100-companies-hiring-insights-a-topic","title":"Nasdaq-100 Companies' Hiring Insights: A Topic-based Classification Approach to the Labor Market","date":"2024-09-01","arxiv_id":"2409.00658","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-combinatorial-bandits-for-budget","title":"Multi-Task Combinatorial Bandits for Budget Allocation","date":"2024-08-31","arxiv_id":"2409.00561","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-saturation-confidence-distribution-based","title":"Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification","date":"2024-08-29","arxiv_id":"2408.16265","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-large-language-models-to-create-ai","title":"Using Large Language Models to Create AI Personas for Replication and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings","date":"2024-08-28","arxiv_id":"2408.16073","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-uplift-modeling-in-multi-treatment","title":"Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques","date":"2024-08-24","arxiv_id":"2408.13628","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-cost-effective-incentive","title":"End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling","date":"2024-08-21","arxiv_id":"2408.11623","repositories_listed":0,"syntology":null},{"url":null,"slug":"optdist-learning-optimal-distribution-for","title":"OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction","date":"2024-08-16","arxiv_id":"2408.08585","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-concentration-risk-indicator-raising-the","title":"The Concentration Risk Indicator: Raising the Bar for Financial Stability and Portfolio Performance Measurement","date":"2024-08-14","arxiv_id":"2408.07271","repositories_listed":0,"syntology":null},{"url":null,"slug":"your-mmm-is-broken-identification-of","title":"Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models","date":"2024-08-14","arxiv_id":"2408.07678","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-semantic-graph-based-approach-with","title":"Enhanced Semantic Graph Based Approach With Sentiment Analysis For User Interest Retrieval From Social Sites","date":"2024-08-08","arxiv_id":"2408.04395","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-01287","title":"Deep Learning based Visually Rich Document Content Understanding: A Survey","date":"2024-08-02","arxiv_id":"2408.01287","repositories_listed":0,"syntology":null},{"url":null,"slug":"2407-21553","title":"CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment","date":"2024-07-31","arxiv_id":"2407.21553","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-unsupervised-artificial-neural","title":"Application of Unsupervised Artificial Neural Network (ANN) Self_Organizing Map (SOM) in Identifying Main Car Sales Factors","date":"2024-07-29","arxiv_id":"2408.05110","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-view-mask-contrastive-learning-graph","title":"A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation","date":"2024-07-23","arxiv_id":"2407.16234","repositories_listed":0,"syntology":null},{"url":null,"slug":"big-data-analytics-enabled-dynamic","title":"Big Data Analytics-Enabled Dynamic Capabilities and Market Performance: Examining the Roles of Marketing Ambidexterity and Competitor Pressure","date":"2024-07-22","arxiv_id":"2407.15522","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-inference-with-complex-treatments-a","title":"Causal Inference with Complex Treatments: A Survey","date":"2024-07-19","arxiv_id":"2407.14022","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-focused-causal-learning-for-direct","title":"Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization","date":"2024-07-18","arxiv_id":"2407.13664","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-sentiment-analysis-with-local-large","title":"Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation","date":"2024-07-18","arxiv_id":"2407.13069","repositories_listed":0,"syntology":null},{"url":null,"slug":"across-platforms-and-languages-dutch","title":"Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok","date":"2024-07-17","arxiv_id":"2407.12451","repositories_listed":0,"syntology":null},{"url":null,"slug":"fractional-budget-allocation-for-influence","title":"Fractional Budget Allocation for Influence Maximization under General Marketing Strategies","date":"2024-07-08","arxiv_id":"2407.05669","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-solution-for-the-aigc-inference","title":"The Solution for the AIGC Inference Performance Optimization Competition","date":"2024-07-06","arxiv_id":"2407.04991","repositories_listed":0,"syntology":null},{"url":null,"slug":"improve-roi-with-causal-learning-and","title":"Improve ROI with Causal Learning and Conformal Prediction","date":"2024-07-01","arxiv_id":"2407.01065","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-for-affect-analysis","title":"Multi-Task Learning for Affect Analysis","date":"2024-06-30","arxiv_id":"2407.00679","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-the-logistical-engagement-of-stakeholders","title":"Is the logistical engagement of stakeholders in short food chains a crucible of alternativity?","date":"2024-06-26","arxiv_id":"2406.18123","repositories_listed":0,"syntology":null},{"url":null,"slug":"causalmmm-learning-causal-structure-for","title":"CausalMMM: Learning Causal Structure for Marketing Mix Modeling","date":"2024-06-24","arxiv_id":"2406.16728","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-output-personality-detection","title":"Continuous Output Personality Detection Models via Mixed Strategy Training","date":"2024-06-23","arxiv_id":"2406.16223","repositories_listed":0,"syntology":null},{"url":null,"slug":"regulating-ai-adaptation-an-analysis-of-ai","title":"Regulating AI Adaptation: An Analysis of AI Medical Device Updates","date":"2024-06-22","arxiv_id":"2407.16900","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-monotonic-modeling-with-spatio","title":"Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing","date":"2024-06-20","arxiv_id":"2406.14132","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-words-to-worlds-transforming-one-line","title":"From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent","date":"2024-06-15","arxiv_id":"2406.10478","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-real-time-coupon-allocation-in","title":"Data-Driven Real-time Coupon Allocation in the Online Platform","date":"2024-06-10","arxiv_id":"2406.05987","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-contrastive-learning-for","title":"Causal Contrastive Learning for Counterfactual Regression Over Time","date":"2024-06-01","arxiv_id":"2406.00535","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-quality-in-edge-machine-learning-a-state","title":"Data Quality in Edge Machine Learning: A State-of-the-Art Survey","date":"2024-06-01","arxiv_id":"2406.02600","repositories_listed":0,"syntology":null},{"url":null,"slug":"facemixup-enhancing-facial-expression","title":"FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization","date":"2024-05-30","arxiv_id":"2405.20259","repositories_listed":0,"syntology":null},{"url":null,"slug":"iterative-causal-segmentation-filling-the-gap","title":"Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy","date":"2024-05-23","arxiv_id":"2405.14743","repositories_listed":0,"syntology":null},{"url":null,"slug":"sports-center-customer-segmentation-a-case","title":"Sports center customer segmentation: a case study","date":"2024-05-23","arxiv_id":"2405.17467","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-influencer-next-door-how-misinformation","title":"The Influencer Next Door: How Misinformation Creators Use GenAI","date":"2024-05-22","arxiv_id":"2405.13554","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-optimization-with-adaptive-heuristics","title":"Neural Optimization with Adaptive Heuristics for Intelligent Marketing System","date":"2024-05-17","arxiv_id":"2405.10490","repositories_listed":0,"syntology":null},{"url":null,"slug":"influencer-cartels","title":"Influencer Cartels","date":"2024-05-16","arxiv_id":"2405.10231","repositories_listed":0,"syntology":null},{"url":null,"slug":"virtualmodel-generating-object-id-retentive","title":"VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing","date":"2024-05-16","arxiv_id":"2405.09985","repositories_listed":0,"syntology":null},{"url":null,"slug":"influence-maximization-in-hypergraphs-using-a","title":"Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods","date":"2024-05-15","arxiv_id":"2405.09185","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-creativity-in-large-language-models","title":"Enhancing Creativity in Large Language Models through Associative Thinking Strategies","date":"2024-05-09","arxiv_id":"2405.06715","repositories_listed":0,"syntology":null},{"url":null,"slug":"shaping-the-future-of-urban-mobility-insights","title":"Shaping the Future of Urban Mobility: Insights into Autonomous Vehicle Acceptance in Shanghai Through TAM and Perceived Risk Analysis","date":"2024-05-09","arxiv_id":"2405.05578","repositories_listed":0,"syntology":null},{"url":null,"slug":"metalearners-for-ranking-treatment-effects","title":"Metalearners for Ranking Treatment Effects","date":"2024-05-03","arxiv_id":"2405.02183","repositories_listed":0,"syntology":null},{"url":null,"slug":"unleashing-the-power-of-ai-transforming","title":"Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis","date":"2024-05-03","arxiv_id":"2405.01913","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-virtual-product-placement-and","title":"Automated Virtual Product Placement and Assessment in Images using Diffusion Models","date":"2024-05-02","arxiv_id":"2405.01130","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-rfme-real-estate-rfme-model-for-customer","title":"RE-RFME: Real-Estate RFME Model for customer segmentation","date":"2024-04-26","arxiv_id":"2404.17177","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-marketing-in-public-policy","title":"The Role of Marketing in Public Policy Decision Making: The Case of Fuel Subsidy Removal in Nigeria","date":"2024-04-26","arxiv_id":"2404.17551","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-attractive-and-authentic","title":"Generating Attractive and Authentic Copywriting from Customer Reviews","date":"2024-04-22","arxiv_id":"2404.13906","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-marketing-channels-into-quantile","title":"Integrating Marketing Channels into Quantile Transformation and Bayesian Optimization of Ensemble Kernels for Sales Prediction with Gaussian Process Models","date":"2024-04-15","arxiv_id":"2404.09386","repositories_listed":0,"syntology":null},{"url":null,"slug":"shoemodel-learning-to-wear-on-the-user","title":"ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model","date":"2024-04-07","arxiv_id":"2404.04833","repositories_listed":0,"syntology":null},{"url":null,"slug":"similar-data-points-identification-with-llm-a","title":"Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights","date":"2024-04-03","arxiv_id":"2404.04281","repositories_listed":0,"syntology":null},{"url":null,"slug":"cirp-cross-item-relational-pre-training-for","title":"CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling","date":"2024-04-02","arxiv_id":"2404.01735","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-knowledge-transfer-in-batch-q","title":"Data-Driven Knowledge Transfer in Batch $Q^*$ Learning","date":"2024-04-01","arxiv_id":"2404.15209","repositories_listed":0,"syntology":null},{"url":null,"slug":"social-dynamics-of-consumer-response-a","title":"Symmetries, Scaling Laws and Phase Transitions in Consumer Advertising Response","date":"2024-04-01","arxiv_id":"2404.02175","repositories_listed":0,"syntology":null},{"url":null,"slug":"multifractal-wavelet-dynamic-mode","title":"Multifractal wavelet dynamic mode decomposition modeling for marketing time series","date":"2024-03-20","arxiv_id":"2403.13361","repositories_listed":0,"syntology":null},{"url":null,"slug":"causality-from-bottom-to-top-a-survey","title":"Causality from Bottom to Top: A Survey","date":"2024-03-17","arxiv_id":"2403.11219","repositories_listed":0,"syntology":null},{"url":null,"slug":"safeguarding-marketing-research-the","title":"Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation","date":"2024-03-17","arxiv_id":"2403.14706","repositories_listed":0,"syntology":null},{"url":null,"slug":"narrating-causal-graphs-with-large-language","title":"Narrating Causal Graphs with Large Language Models","date":"2024-03-11","arxiv_id":"2403.07118","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-robustness-of-diffusion-estimates-on","title":"Non-robustness of diffusion estimates on networks with measurement error","date":"2024-03-08","arxiv_id":"2403.05704","repositories_listed":0,"syntology":null},{"url":null,"slug":"radia-radio-advertisement-detection-with","title":"RADIA -- Radio Advertisement Detection with Intelligent Analytics","date":"2024-03-06","arxiv_id":"2403.03538","repositories_listed":0,"syntology":null},{"url":null,"slug":"diverse-deciphering-internet-views-on-the-u-s","title":"DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model","date":"2024-03-05","arxiv_id":"2403.03334","repositories_listed":0,"syntology":null},{"url":null,"slug":"locr-location-guided-transformer-for-optical","title":"LOCR: Location-Guided Transformer for Optical Character Recognition","date":"2024-03-04","arxiv_id":"2403.02127","repositories_listed":0,"syntology":null},{"url":null,"slug":"bandit-profit-maximization-for-targeted","title":"Bandit Profit-maximization for Targeted Marketing","date":"2024-03-03","arxiv_id":"2403.01361","repositories_listed":0,"syntology":null},{"url":null,"slug":"revolutionizing-retail-analytics-advancing","title":"Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI","date":"2024-02-24","arxiv_id":"2405.00023","repositories_listed":0,"syntology":null},{"url":null,"slug":"gcof-self-iterative-text-generation-for","title":"GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model","date":"2024-02-21","arxiv_id":"2402.13667","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-the-why-of-buying-introducing-a-new","title":"Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience","date":"2024-02-20","arxiv_id":"2402.13417","repositories_listed":0,"syntology":null},{"url":null,"slug":"biasbuster-a-neural-approach-for-accurate","title":"BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data","date":"2024-02-17","arxiv_id":"2402.11318","repositories_listed":0,"syntology":null},{"url":null,"slug":"awareness-of-self-control","title":"Awareness of self-control","date":"2024-02-16","arxiv_id":"2402.11072","repositories_listed":0,"syntology":null},{"url":null,"slug":"best-of-three-worlds-adaptive-experimentation","title":"Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice","date":"2024-02-16","arxiv_id":"2402.10870","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-exploration-of-clustering-algorithms-for","title":"An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market","date":"2024-02-06","arxiv_id":"2402.04103","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-contextual-congruence-across","title":"Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning","date":"2024-02-06","arxiv_id":"2402.03607","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-explainable-machine-learning-based","title":"An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes","date":"2024-02-03","arxiv_id":"2402.05949","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-auction-based-marketplace-for-model","title":"An Auction-based Marketplace for Model Trading in Federated Learning","date":"2024-02-02","arxiv_id":"2402.01802","repositories_listed":0,"syntology":null},{"url":null,"slug":"doublemldeep-estimation-of-causal-effects","title":"DoubleMLDeep: Estimation of Causal Effects with Multimodal Data","date":"2024-02-01","arxiv_id":"2402.01785","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-large-language-models-replace-economic","title":"Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games","date":"2024-01-30","arxiv_id":"2401.17435","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-next-destination-prediction-a-novel","title":"Enhancing Next Destination Prediction: A Novel Long Short-Term Memory Neural Network Approach Using Real-World Airline Data","date":"2024-01-23","arxiv_id":"2401.12830","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-deep-learning-of-word-of-mouth","title":"Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing","date":"2024-01-22","arxiv_id":"2401.11888","repositories_listed":0,"syntology":null},{"url":null,"slug":"area-modeling-using-stay-information-for","title":"Area Modeling using Stay Information for Large-Scale Users and Analysis for Influence of COVID-19","date":"2024-01-19","arxiv_id":"2401.10648","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-rapid-review-of-clustering-algorithms","title":"A Rapid Review of Clustering Algorithms","date":"2024-01-14","arxiv_id":"2401.07389","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-free-approximate-bayesian-learning-for","title":"Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization","date":"2024-01-12","arxiv_id":"2401.06710","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-marketing-performance-at-channel","title":"Quantifying Marketing Performance at Channel-Partner Level by Using Marketing Mix Modeling (MMM) and Shapley Value Regression","date":"2024-01-11","arxiv_id":"2401.05653","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-text-similarity-based-on-semantic","title":"Estimating Text Similarity based on Semantic Concept Embeddings","date":"2024-01-09","arxiv_id":"2401.04422","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-green-marketing-strategy-on-brand","title":"Impact of Green Marketing Strategy on Brand Awareness: Business, Management, and Human Resources Aspects","date":"2024-01-04","arxiv_id":"2401.02042","repositories_listed":0,"syntology":null},{"url":null,"slug":"expected-transaction-value-optimization-for","title":"Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms","date":"2024-01-03","arxiv_id":"2401.01525","repositories_listed":0,"syntology":null},{"url":null,"slug":"social-media-ready-caption-generation-for","title":"Social Media Ready Caption Generation for Brands","date":"2024-01-03","arxiv_id":"2401.01637","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-green-advantage-analyzing-the-effects-of","title":"The Green Advantage: Analyzing the Effects of Eco-Friendly Marketing on Consumer Loyalty","date":"2023-12-27","arxiv_id":"2312.16698","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-in-context-learning-from-nearest","title":"Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation","date":"2023-12-26","arxiv_id":"2312.16262","repositories_listed":0,"syntology":null},{"url":null,"slug":"mental-perception-of-quality-green-marketing","title":"Mental Perception of Quality: Green Marketing as a Catalyst for Brand Quality Enhancement","date":"2023-12-26","arxiv_id":"2312.15865","repositories_listed":0,"syntology":null},{"url":null,"slug":"viral-marketing-in-social-networks-with","title":"Viral Marketing in Social Networks with Competing Products","date":"2023-12-25","arxiv_id":"2312.15819","repositories_listed":0,"syntology":null},{"url":null,"slug":"best-arm-identification-in-batched-multi","title":"Best Arm Identification in Batched Multi-armed Bandit Problems","date":"2023-12-21","arxiv_id":"2312.13875","repositories_listed":0,"syntology":null},{"url":null,"slug":"parallel-ranking-of-ads-and-creatives-in-real","title":"Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems","date":"2023-12-20","arxiv_id":"2312.12750","repositories_listed":0,"syntology":null}],"record_sha256":"b61c8adec486489b4d8ebfd67fd97b4fd305678bc362910721a13965520e0b99","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}