Tourists Give Restaurants Higher Ratings Than Locals, New Study Finds
Travelers systematically give restaurants higher online ratings than locals do, revealing a “tourist bias” that could distort how diners and platforms interpret online reviews.
While generative AI (GenAI) can help define viable objectives for organizational and policy decision-making, the overall quality of those objectives falls short unless humans intervene.
Travelers systematically give restaurants higher online ratings than locals do, revealing a “tourist bias” that could distort how diners and platforms interpret online reviews.
Prepopulating e-commerce search bars with trending or personalized keywords can meaningfully increase both purchasing and consumer spending.
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Travelers systematically give restaurants higher online ratings than locals do, revealing a “tourist bias” that could distort how diners and platforms interpret online reviews.
INFORMS has awarded the 2025 Daniel H. Wagner Prize to a team of researchers from George Washington University and the Meituan Group for the paper “Rebalancing and Pricing of Near-Expiry Inventory in Online Grocery Retail."
While generative AI (GenAI) can help define viable objectives for organizational and policy decision-making, the overall quality of those objectives falls short unless humans intervene.
Prepopulating e-commerce search bars with trending or personalized keywords can meaningfully increase both purchasing and consumer spending.
AI-powered social media bots can increase user engagement on posts, but they fall short of encouraging users to post more overall.

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