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高德一夜刷榜:十亿用户用脚投票,美食到店榜单乱象被AI横扫
量子位·2025-09-12 08:46

Core Viewpoint - The article discusses the launch of Gaode's new feature, "Gaode Street Ranking," which aims to provide a more authentic ranking system for offline services based on real user behavior rather than manipulated ratings [1][3][4]. Summary by Sections Introduction of Gaode Street Ranking - Gaode has introduced a new credit system called "Gaode Street Ranking," which promises to bring 10.8 million consumers to offline service businesses daily [2]. - The ranking system is designed to combat the existing issues of fake reviews and manipulated ratings in the restaurant and service industry [3][4]. Unique Features of the Ranking System - The ranking is based on real user behaviors, such as navigation and visits, rather than artificial manipulation [3][4]. - Gaode's data includes 514.3 million users and 1.3 billion navigation instances over a year, covering a distance equivalent to 57 times around the Earth [12][68]. Data and AI Integration - The success of the Gaode Street Ranking is attributed to the integration of AI with Gaode's extensive historical data, which has been accumulated over 20 years [6][67]. - AI helps in processing user behavior data to ensure the authenticity of the rankings, making it difficult for users to manipulate the system [48][65]. Ranking Dynamics - The ranking system includes various categories such as "Top Performers," "Street Rankings," and "Popular Check-ins," which are updated daily to reflect real-time user preferences [14][15]. - The "Top Performers" list is updated annually, while the "Street Rankings" are refreshed daily, allowing for more dynamic and responsive rankings [15]. User Engagement and Experience - Users can only leave reviews after visiting a location, which helps maintain the integrity of the ratings [47][65]. - The system encourages genuine user engagement, allowing for a more accurate representation of popular venues [39][70]. Conclusion and Implications - The Gaode Street Ranking represents a significant shift in how offline services are evaluated, emphasizing authenticity and user experience [72]. - This initiative could set a precedent for other industries facing similar challenges with fake reviews and ratings [73].