Find all the Top AIMarketing & Advertising papers. Links to pdf, code repos and demos are provided.
The creator economy has revolutionized the way individuals can profit through online platforms. In this paper, we initiate the study of online learnin...
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Content creators compete for user attention. Their reach crucially depends on algorithmic choices made by developers on online platforms. To maximize ...
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Sentiment analysis (SA) aims to identify the sentiment expressed in a text, such as a product review. Given a review and the sentiment associated with...
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Aspect-based Sentiment Analysis (ABSA) aims to determine the sentiment polarity towards an aspect. Because of the expensive and limited labelled data,...
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Provides an overview of Pinterest's visual discovery engine, which enhances user engagement through innovative visual search and recommendation tools....
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Most real-world networks exhibit community structure, a phenomenon
characterized by existence of node clusters whose intra-edge connectivity is
strong...
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Joint analysis of data from multiple information repositories facilitates uncovering the underlying structure in heterogeneous datasets. Single and co...
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Algorithm fairness has become a central problem for the broad adoption of artificial intelligence. Although the past decade has witnessed an explosion...
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Presents a novel approach to enhancing the interpretability of black-box recommender systems by focusing on feature interactions, particularly in the ...
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Introduces a novel domain generalization method called GRADFrame, designed to enhance predictive analytics in dynamic real-world environments by addre...
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Presents RecBench+, a benchmark dataset designed to evaluate the capabilities of large language models (LLMs) in acting as personalized recommendation...
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Addresses the challenges of biased click data in learning to rank by introducing a novel framework called the Dual Learning Algorithm (DLA). The frame...
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