A new approach to enhance consistency in online product categorization.
― 6 min read
Cutting edge science explained simply
A new approach to enhance consistency in online product categorization.
― 6 min read
Latest Articles
Latest Articles
A new method ensures user privacy in retrieval systems through synthetic query generation.
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Analyzing how LLMs predict user ratings effectively.
― 5 min read
New method improves extraction of bacterial interactions from scientific literature.
― 7 min read
Local news informs residents and keeps communities engaged.
― 5 min read
Combining language models with recommendation systems improves user experience and accuracy.
― 6 min read
A dataset aims to improve question answering in African languages.
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A study on enhancing content-based recommendations using LLMs.
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Exploring new content enhances user engagement and satisfaction in recommendation systems.
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Negation significantly affects information retrieval and model performance.
― 4 min read
A new method tackles the cold-start problem in recommendation systems.
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Exploring the integration of digital twins and the Metaverse for enhanced experiences.
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New tool aids in fact-checking by connecting users to expert opinions.
― 9 min read
AI helps schools quickly identify potential threats to student safety.
― 5 min read
Text2Cohort makes cancer data more accessible for researchers through natural language queries.
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Explore how PALR enhances recommendations using large language models.
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This article discusses a method to analyze unstructured scientific data effectively.
― 5 min read
A project enhancing the retrieval of mathematical information for researchers.
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Explore how CRSs use dialogue for better content recommendations.
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Exploring the development of an automated question generation model for education.
― 8 min read
MV-ICTR improves user experience by enhancing movie recommendations through user and item features.
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FedAds offers a solution for effective CVR estimation while safeguarding user privacy.
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This article examines the threats in federated recommender systems using visual information.
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This article examines how large language models can enhance recommendation rankings.
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Examining the impact and management of bias in data-driven systems.
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A new method improves search across languages, enhancing document retrieval.
― 4 min read
This article examines the effects of coffee tree leaf rust in Colombia.
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An overview of fairness challenges in recommender systems and potential solutions.
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A study on addressing bias in ranking systems for better user experience.
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LLM-URL uses large language models to improve document retrieval accuracy and efficiency.
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HyHTM improves hierarchical topic models using hyperbolic geometry for better topic relationships.
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BioAug enhances training data for biomedical NER, addressing data scarcity issues.
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Researchers use advanced models to improve gold nanorod synthesis methods.
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A new framework enhances emotional support conversations for users seeking help.
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Personalized SMS campaigns can improve cancer check-up compliance and health outcomes.
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A novel approach to improve recommendations by focusing on multiple relevant items.
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This study explores the effectiveness of QPP in improving conversational search systems.
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A new method improves document retrieval by refining query representations through feedback.
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Examining generative retrieval's performance on large document datasets.
― 7 min read
Exploring the unique difficulties faced by visually impaired shoppers online.
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A new taxonomy to improve LLM performance on complex tasks.
― 6 min read