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#relevance-ranking News & Analysis

2 articles tagged with #relevance-ranking. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 46/10
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DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Modeling

Researchers have developed DSIRM, a machine learning model that improves e-commerce search relevance by combining discrete semantic identifiers with query-dependent ranking. The system achieved a 1.54% offline AUC improvement and significant online gains (+0.13% UCTR, +0.25% UCTCVR) when deployed on Tmall's platform, demonstrating practical value for large-scale recommendation systems.

AIBullishApple Machine Learning · Feb 274/103
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Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments

Researchers developed a method to improve app store search relevance by using large language models to generate textual relevance judgments, addressing the scarcity of expert-labeled data. A specialized fine-tuned model significantly outperformed general-purpose LLMs in evaluating semantic fit between queries and results.