生成式推荐：AI时代互联网技术皇冠上的明珠

Summary of Conference Call on Generative Recommendation Systems Industry Overview - The discussion centers around the generative recommendation systems within the AI era, highlighting their significance in the internet technology landscape [1][2]. Key Companies Mentioned - Meta: Leading in end-to-end generative recommendation systems, with advertising revenue growth surpassing Google and a reported increase in ad conversion rates by 3-5 percentage points in Q2 2025 [5][6]. - Kuaishou (快手): Achieved significant benefits through the WangRank algorithm, improving user engagement metrics [1][6]. - Alibaba, ByteDance, Xiaohongshu: Utilizing hybrid generative recommendation architectures, showing substantial commercial value improvements [1][9]. - Tencent and Bilibili: Also applying generative recommendation technologies, with varying degrees of revenue growth [3][12]. Core Insights and Arguments - Generative Recommendation Technology: Considered the crown jewel of internet technology in the AI era due to its scalability, data enhancement capabilities, unified optimization framework, and support for diverse recommendations [2]. - Performance Metrics: Generative recommendation systems have shown to increase user active days by 0.3% and total usage time by 1% in experiments [8]. Kuaishou's end-to-end model yielded revenue increases between 0.54% and 3% [8]. - Comparison with Traditional Systems: Traditional recommendation systems have limitations in creativity and generation, while generative systems leverage user behavior history to recommend the next likely interaction item [4][3]. Important but Overlooked Content - Market Potential: Mid-sized companies are expected to benefit more significantly from the generative recommendation wave, with Alibaba's GMV compound growth rate reaching 22% during the deep learning technology boom [12]. - Business Scenarios: E-commerce platforms are particularly suited for generative recommendation models due to stable user data and low real-time feedback requirements [10][11]. - Risks in Implementation: Potential risks include slower-than-expected industry advancement, supply chain issues related to computational power, and macroeconomic policy changes affecting profitability [14]. Future Outlook - Companies embracing generative recommendation technology, such as Alibaba, Kuaishou, Tencent, Bilibili, Baidu, iQIYI, Applovin, and HuiLiang Technology, are expected to achieve significant commercial value over the next two to three years [13].