Marketing
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Benchmarks
BIG-bench
Most implemented
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
Explaining Large Language Models Decisions Using Shapley Values
Papers
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
Colors are omnipresent in today's world and play a vital role in how humans perceive and interact with their surroundings. However, it is challenging for computers to imitate human color perception. This paper introduces…
AttributeMarketingSeeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
Outdoor advertisements remain a critical medium for modern marketing, yet accurately verifying billboard text visibility under real-world conditions is still challenging. Traditional Optical Character Recognition (OCR) p…
MarketingOptical Character RecognitionOptical Character Recognition (OCR)Scene UnderstandingUSD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
Large-scale homepage recommendations face critical challenges from pseudo-negative samples caused by exposure bias, where non-clicks may indicate inattention rather than disinterest. Existing work lacks thorough analysis…
MarketingPotential Customer Lifetime Value in Financial Institutions: The Usage Of Open Banking Data to Improve CLV Estimation
Financial institutions increasingly adopt customer-centric strategies to enhance profitability and build long-term relationships. While Customer Lifetime Value (CLV) is a core metric, its calculations often rely solely o…
MarketingScalable Subset Selection in Linear Mixed Models
Linear mixed models (LMMs), which incorporate fixed and random effects, are key tools for analyzing heterogeneous data, such as in personalized medicine or adaptive marketing. Nowadays, this type of data is increasingly …
MarketingSparse LearningThe Shape of Consumer Behavior: A Symbolic and Topological Analysis of Time Series
Understanding temporal patterns in online search behavior is crucial for real-time marketing and trend forecasting. Google Trends offers a rich proxy for public interest, yet the high dimensionality and noise of its time…
ClusteringMarketingTime SeriesTopological Data Analysis