惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Jina AI
Jina AI
S
SegmentFault 最新的问题
D
DataBreaches.Net
H
Help Net Security
有赞技术团队
有赞技术团队
M
MIT News - Artificial intelligence
Martin Fowler
Martin Fowler
IT之家
IT之家
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
腾讯CDC
罗磊的独立博客
Y
Y Combinator Blog
阮一峰的网络日志
阮一峰的网络日志
云风的 BLOG
云风的 BLOG
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
WordPress大学
WordPress大学
Microsoft Security Blog
Microsoft Security Blog
J
Java Code Geeks
Vercel News
Vercel News
Hugging Face - Blog
Hugging Face - Blog
aimingoo的专栏
aimingoo的专栏
Stack Overflow Blog
Stack Overflow Blog
Recent Announcements
Recent Announcements
博客园 - 三生石上(FineUI控件)

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
The Impact of Large Scale Promotions on the Sales and Rat...
Georgios Askalidis · 2015-06-23 · via cs.SI updates on arXiv.org

We study four promotions offered on Apple's mobile app store that vary in user exposure, price discount and redemption procedure. We find that promotions that are full-price discounted and digital (i.e., the redemption procedure is a few taps on the smartphone) are the ones that cause the largest increase in downloads. Investigating the effect on ratings, we find neutral or positive effects on the ratings for all full-price discounted promotions but negative short-term effects on the ratings of apps promoted by substantial, but only partial, price discounts. Furthermore, we find that high barrier promotions induce a rich-get-richer effects, with apps that were popular before the promotion receiving, generally, larger benefits. In contrast, low barrier promotions cause, on average, the same increase in sales for all participating apps regardless their characteristics or their previous popularity. Finally, we explore the effect of these promotions on the competition of the featured apps and find negative externalities when the promotion is low barrier and positive when it's high barrier.