Yelp
PulseAugur coverage of Yelp — every cluster mentioning Yelp across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New TRACE benchmark evaluates trustworthy tourism AI recommendations
Researchers have introduced TRACE, a new benchmark dataset designed to evaluate conversational recommender systems in the tourism domain. TRACE addresses the need for systems that not only suggest relevant points of int…
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AI pipeline transforms customer reviews into actionable business advice
Researchers have developed a new multi-agent system designed to extract actionable business advice from customer reviews. This pipeline breaks down the process into distinct stages, including signal compression, problem…
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AI art backlash hits restaurant logo; LLMs favor their own resumes
A Santa Cruz restaurant owner has changed the restaurant's logo after receiving numerous negative reviews and backlash from locals who objected to its AI-generated origin. The owner stated that while she has graphic art…
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LLMs show linguistic bias in recommendations across dialects, study finds
A new research paper investigates linguistic biases in large language models (LLMs) when generating recommendations. The study used datasets from Yelp and Walmart, prompting LLMs with variations of American English, Ind…
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We gave an AI a 3 year retail lease and asked it to make a profit
Andon Labs has launched a retail store in San Francisco managed entirely by an AI named Luna. Luna is responsible for all operational decisions, including selecting inventory, setting prices, and determining store hours…
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Composify offers open-source visual editor for React Server-Driven UI
Composify is a new open-source library that enables non-developers to build web pages using a React application's existing components through a visual editor. It aims to bridge the gap between rigid page builders and co…
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Eugene Yan recaps RecSys conferences, highlighting AI advancements in recommendation systems.
Eugene Yan's RecSys 2022 recap highlights a significant increase in industry submissions and a focus on algorithmic advancements and real-world applications. Key papers explored efficient training for sequential recomme…