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Found 5 papers, 0 papers with code
Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales).
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Online sellers and advertisers are recommended keyphrases for their listed products, which they bid on to enhance their sales.
Extreme Multi-Label Classification
MUlTI-LABEL-ClASSIFICATION
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Open-vocabulary Extreme Multi-label Classification (OXMC) extends traditional XMC by allowing prediction beyond an extremely large, predefined label set (typically $10^3$ to $10^{12}$ labels), addressing the dynamic nature of real-world labeling tasks.
Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
We present Graphite, a graph-based classifier model that provides real-time keyphrase recommendations that are on par with standard text classification models.
Analysis of Multidomain Abstractive Summarization Using Salience Allocation
This paper explores the realm of abstractive text summarization through the lens of the SEASON (Salience Allocation as Guidance for Abstractive SummarizatiON) technique, a model designed to enhance summarization by leveraging salience allocation techniques.
