Victor Wu的个人主页 - 老虎社区

Victor Wu

Victor Wu

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IP属地：四川

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0勋章

2025-06-10

$MicroAlgo, Inc.(MLGO)$ 这个股没人管吗？就任由骗？

2025-04-15

$蔚来-SW(09866)$ 趁势加仓该蔚来表演的时刻到了。新款的加持萤火虫绝对有价格优势老款的销量冲击。芯片世界模型太多利好

2025-09-15

$SharpLink Gaming(SBET)$ 你妈的有毒吧

2025-03-25

$阿里巴巴-W(09988)$ 有毛病吧。这么垃圾吗。

2025-03-25

$阿里巴巴-W(09988)$ 你们要倒闭了吗？这么坑人。垃圾

2025-03-08

$京东(JD)$ 垃圾东西滚吧

2025-06-10

光发这些有毛用，永远只有跌，纯骗吗。没人管嘛

微算法科技利用离散时间图神经网络DT-GNNs模型,创建个性化营销的WEB3.0社交平台

2025-05-13

$MicroAlgo, Inc.(MLGO)$

2025-04-02

$小米集团-W(01810)$ 反攻开始准备

2025-03-14

$小鹏汽车-W(09868)$ 快跑吧。最近必阴跌了

2025-03-10

$京东物流(02618)$ 真的服了。京东体现真害人。京东京东跌。买物流物流跌京东健康今天这么好的题材也能跌。真牛逼

2025-03-08

$特斯拉(TSLA)$ 准备开始稳步提升。看多开始。

2025-03-07

$京东物流(02618)$ 你财报这么好还能这么跌。真垃圾啊

2025-03-06

京东必大涨，第一6日的年财报预期利好 2.俩会的消费和补贴政策利好，3中概股估值回归，

2025-03-04

$赤峰黄金(06693)$ 国际形势来看，从虚拟币到黄金肯定是利好，越来越多国家都在囤黄金 $赤峰黄金(06693)$

2025-03-03

$蜜雪集团(02097)$ $蜜雪集团(02097)$ 看到310。

2025-03-03

$蜜雪集团(02097)$ $蜜雪集团(02097)$ 我觉得今天应该能看到300

2025-02-25

没多少希望能中

去老虎APP查看更多动态

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就任由骗？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":4,"repostSize":0,"link":"https://laohu8.com/post/444588566143824","isVote":1,"tweetType":1,"viewCount":2863,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"4199941457547452","authorId":"4199941457547452","name":"大运来了","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","crmLevel":1,"crmLevelSwitch":0,"authorIdStr":"4199941457547452","idStr":"4199941457547452"},"content":"增发10倍股份，恐怕要0.2左右才会止跌了","text":"增发10倍股份，恐怕要0.2左右才会止跌了","html":"增发10倍股份，恐怕要0.2左右才会止跌了"},{"author":{"id":"3561118796280238","authorId":"3561118796280238","name":"A股老韭","avatar":"https://static.tigerbbs.com/0899a34d1462bd80e52fbb205d2a5e39","crmLevel":2,"crmLevelSwitch":1,"authorIdStr":"3561118796280238","idStr":"3561118796280238"},"content":"我c3000到到现在一刀","text":"我c3000到到现在一刀","html":"我c3000到到现在一刀"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":444590195740712,"gmtCreate":1749563681312,"gmtModify":1749563682283,"author":{"id":"4202557370726802","authorId":"4202557370726802","name":"Victor 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09:52","market":"us","language":"zh","title":"微算法科技利用离散时间图神经网络DT-GNNs模型,创建个性化营销的WEB3.0社交平台","url":"https://stock-news.laohu8.com/highlight/detail?id=2542635067","media":"CCTIME飞象网","summary":"微算法科技在利用离散时间图神经网络创建个性化营销的WEB3.0社交平台，采用了高效的DT-GNNs算法框架，该框架支持大规模图数据的并行处理和实时更新，确保了系统的高性能和可扩展性。微算法科技的WEB3.0社交平台利用离散时间图神经网络，具有多项显著的技术优势。微算法科技的WEB3.0社交平台可广泛应用与内容推荐、社交互动、广告投放、市场研究等多个领域。","content":"<html><body><article><p>随着互联网技术的飞速发展，Web3.0时代悄然来临，标志着互联网向更加去中心化、智能化和个性化的方向迈进。如何利用区块链实现WEB3.0商业化应用，是机遇与挑战。微算法科技(NASDAQ：MLGO)积极探索<a href=\"https://laohu8.com/S/C76.SI\">创新</a>技术，利用离散时间图神经网络，创建了一个个性化营销的WEB3.0社交平台。</p><p>离散时间图神经网络是一种结合了图神经网络（Graph Neural Networks, GNNs）与时间序列分析技术的高级模型，旨在处理具有时间动态变化的图结构数据。在图论中，节点代表实体（如用户、商品等），边代表实体之间的关系（如关注、购买等）。DT-GNNs通过捕捉图结构中的节点特征和边关系，并结合时间戳<a href=\"https://laohu8.com/S/300469\">信息</a>，对节点的<a href=\"https://laohu8.com/S/600532\">未来</a>状态或行为进行预测。在个性化营销的WEB3.0社交平台中，DT-GNNs能够深度挖掘用户行为数据，理解用户偏好和需求，从而为用户提供定制化的内容推荐和营销策略。</p><p>微算法科技在利用离散时间图神经网络创建个性化营销的WEB3.0社交平台，采用了高效的DT-GNNs算法框架，该框架支持大规模图数据的并行处理和实时更新，确保了系统的高性能和可扩展性。微算法科技引入了先进的注意力机制（Attention Mechanism）和强化学习（Reinforcement Learning）技术，使DT-GNNs模型能够更准确地捕捉用户兴趣的变化和市场的动态趋势。</p><img src=\"https://fid-75186.picgzc.qpic.cn/20250610101947712v163yw9bn3axdac\"/><p>数据收集：平台通过用户行为日志、社交互动数据等多源数据收集，构建了一个<a href=\"https://laohu8.com/S/601258\">庞大</a>的动态图数据库。这些数据包括用户的点击行为、点赞、评论、分享等，以及用户之间的关系数据。</p><p>数据预处理：收集到的原始数据需要进行清洗、去重和格式化处理，以确保数据的质量和一致性。预处理后的数据被转换为适合图神经网络处理的格式。</p><p>图构建：基于预处理后的数据，平台构建了一个动态图，其中节点代表用户或内容，边代表用户之间的关系或用户与内容之间的互动。动态图能够反映用户行为随时间的变化。</p><p>离散时间图神经网络训练：利用离散时间图神经网络模型，平台对动态图进行节点表示学习。网络通过信息传递和聚合机制，逐步更新节点的表示向量，捕捉节点在不同时间点的状态变化。</p><p>特征提取：训练后的网络能够从节点表示中提取出丰富的特征信息，这些特征包括用户的兴趣、偏好、社交关系等。这些特征为后续的个性化推荐提供了基础。</p><p>个性化推荐：基于提取的特征，平台为用户提供个性化的内容推荐。推荐算法考虑了用户的实时行为和历史行为，以及用户之间的关系，确保推荐结果的准确性和相关性。</p><p>用户反馈：用户对推荐结果进行反馈，平台根据反馈不断优化模型和算法。通过持续的迭代和改进，平台能够不断提高推荐的精准度和用户满意度。</p><p>安全监控：在整个过程中，平台还引入了安全监控机制，确保数据的隐私和安全。通过加密、访问控制等技术手段，防止数据泄露和滥用。</p><p>微算法科技的WEB3.0社交平台利用离散时间图神经网络，具有多项显著的<span>技术优势</span>。结合时间动态变化的图结构数据和先进的算法框架，DT-GNNs模型能够准确预测用户的未来行为和市场趋势从而提高营销活动的精准度和效果。离散时间图神经网络能够捕捉到用户行为的细微变化，从而提供更加精准的个性化推荐。这不仅提高了用户的满意度，也增加了平台的用户粘性。</p><p>微算法科技(NASDAQ：MLGO)的WEB3.0社交平台可广泛应用与内容推荐、社交互动、广告投放、市场研究等多个领域。随着技术的不断发展和完善，WEB3.0社交平台有望在未来实现更多的创新和应用突破。一方面，离散时间图神经网络将继续优化和扩展，提升其在动态图上的表示学习能力；另一方面，平台将结合更多的先进技术，如强化学习、迁移学习等，进一步提升个性化推荐的精准度和效果。此外，随着区块链技术的发展，平台将探索更多的去中心化应用，提升用户的隐私保护和数据安全。</p></article></body></html>","source":"tencent","collect":0,"html":"<!DOCTYPE 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class=\"meta\">\n\n\n2025-06-10 09:52 北京时间&nbsp;&nbsp;&nbsp;<a href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b><strong>CCTIME飞象网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>随着互联网技术的飞速发展，Web3.0时代悄然来临，标志着互联网向更加去中心化、智能化和个性化的方向迈进。如何利用区块链实现WEB3.0商业化应用，是机遇与挑战。微算法科技(NASDAQ：MLGO)积极探索创新技术，利用离散时间图神经网络，创建了一个个性化营销的WEB3.0社交平台。离散时间图神经网络是一种结合了图神经网络（Graph Neural Networks, GNNs）与时间序列分析技术...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"MLGO":"MicroAlgo, Inc.","BK4134":"信息科技咨询与其它服务"},"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b","is_english":false,"share_image_url":"https://static.laohu8.com/9a95c1376e76363c1401fee7d3717173","article_id":"2542635067","content_text":"随着互联网技术的飞速发展，Web3.0时代悄然来临，标志着互联网向更加去中心化、智能化和个性化的方向迈进。如何利用区块链实现WEB3.0商业化应用，是机遇与挑战。微算法科技(NASDAQ：MLGO)积极探索创新技术，利用离散时间图神经网络，创建了一个个性化营销的WEB3.0社交平台。离散时间图神经网络是一种结合了图神经网络（Graph Neural Networks, GNNs）与时间序列分析技术的高级模型，旨在处理具有时间动态变化的图结构数据。在图论中，节点代表实体（如用户、商品等），边代表实体之间的关系（如关注、购买等）。DT-GNNs通过捕捉图结构中的节点特征和边关系，并结合时间戳信息，对节点的未来状态或行为进行预测。在个性化营销的WEB3.0社交平台中，DT-GNNs能够深度挖掘用户行为数据，理解用户偏好和需求，从而为用户提供定制化的内容推荐和营销策略。微算法科技在利用离散时间图神经网络创建个性化营销的WEB3.0社交平台，采用了高效的DT-GNNs算法框架，该框架支持大规模图数据的并行处理和实时更新，确保了系统的高性能和可扩展性。微算法科技引入了先进的注意力机制（Attention Mechanism）和强化学习（Reinforcement Learning）技术，使DT-GNNs模型能够更准确地捕捉用户兴趣的变化和市场的动态趋势。数据收集：平台通过用户行为日志、社交互动数据等多源数据收集，构建了一个庞大的动态图数据库。这些数据包括用户的点击行为、点赞、评论、分享等，以及用户之间的关系数据。数据预处理：收集到的原始数据需要进行清洗、去重和格式化处理，以确保数据的质量和一致性。预处理后的数据被转换为适合图神经网络处理的格式。图构建：基于预处理后的数据，平台构建了一个动态图，其中节点代表用户或内容，边代表用户之间的关系或用户与内容之间的互动。动态图能够反映用户行为随时间的变化。离散时间图神经网络训练：利用离散时间图神经网络模型，平台对动态图进行节点表示学习。网络通过信息传递和聚合机制，逐步更新节点的表示向量，捕捉节点在不同时间点的状态变化。特征提取：训练后的网络能够从节点表示中提取出丰富的特征信息，这些特征包括用户的兴趣、偏好、社交关系等。这些特征为后续的个性化推荐提供了基础。个性化推荐：基于提取的特征，平台为用户提供个性化的内容推荐。推荐算法考虑了用户的实时行为和历史行为，以及用户之间的关系，确保推荐结果的准确性和相关性。用户反馈：用户对推荐结果进行反馈，平台根据反馈不断优化模型和算法。通过持续的迭代和改进，平台能够不断提高推荐的精准度和用户满意度。安全监控：在整个过程中，平台还引入了安全监控机制，确保数据的隐私和安全。通过加密、访问控制等技术手段，防止数据泄露和滥用。微算法科技的WEB3.0社交平台利用离散时间图神经网络，具有多项显著的技术优势。结合时间动态变化的图结构数据和先进的算法框架，DT-GNNs模型能够准确预测用户的未来行为和市场趋势从而提高营销活动的精准度和效果。离散时间图神经网络能够捕捉到用户行为的细微变化，从而提供更加精准的个性化推荐。这不仅提高了用户的满意度，也增加了平台的用户粘性。微算法科技(NASDAQ：MLGO)的WEB3.0社交平台可广泛应用与内容推荐、社交互动、广告投放、市场研究等多个领域。随着技术的不断发展和完善，WEB3.0社交平台有望在未来实现更多的创新和应用突破。一方面，离散时间图神经网络将继续优化和扩展，提升其在动态图上的表示学习能力；另一方面，平台将结合更多的先进技术，如强化学习、迁移学习等，进一步提升个性化推荐的精准度和效果。此外，随着区块链技术的发展，平台将探索更多的去中心化应用，提升用户的隐私保护和数据安全。","news_type":1,"symbols_score_info":{"MLGO":0.9}},"isVote":1,"tweetType":1,"viewCount":680,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":434460559241584,"gmtCreate":1747103458123,"gmtModify":1747103458969,"author":{"id":"4202557370726802","authorId":"4202557370726802","name":"Victor 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href=\"https://laohu8.com/S/600532\">未来</a>状态或行为进行预测。在个性化营销的WEB3.0社交平台中，DT-GNNs能够深度挖掘用户行为数据，理解用户偏好和需求，从而为用户提供定制化的内容推荐和营销策略。</p><p>微算法科技在利用离散时间图神经网络创建个性化营销的WEB3.0社交平台，采用了高效的DT-GNNs算法框架，该框架支持大规模图数据的并行处理和实时更新，确保了系统的高性能和可扩展性。微算法科技引入了先进的注意力机制（Attention Mechanism）和强化学习（Reinforcement Learning）技术，使DT-GNNs模型能够更准确地捕捉用户兴趣的变化和市场的动态趋势。</p><img src=\"https://fid-75186.picgzc.qpic.cn/20250610101947712v163yw9bn3axdac\"/><p>数据收集：平台通过用户行为日志、社交互动数据等多源数据收集，构建了一个<a href=\"https://laohu8.com/S/601258\">庞大</a>的动态图数据库。这些数据包括用户的点击行为、点赞、评论、分享等，以及用户之间的关系数据。</p><p>数据预处理：收集到的原始数据需要进行清洗、去重和格式化处理，以确保数据的质量和一致性。预处理后的数据被转换为适合图神经网络处理的格式。</p><p>图构建：基于预处理后的数据，平台构建了一个动态图，其中节点代表用户或内容，边代表用户之间的关系或用户与内容之间的互动。动态图能够反映用户行为随时间的变化。</p><p>离散时间图神经网络训练：利用离散时间图神经网络模型，平台对动态图进行节点表示学习。网络通过信息传递和聚合机制，逐步更新节点的表示向量，捕捉节点在不同时间点的状态变化。</p><p>特征提取：训练后的网络能够从节点表示中提取出丰富的特征信息，这些特征包括用户的兴趣、偏好、社交关系等。这些特征为后续的个性化推荐提供了基础。</p><p>个性化推荐：基于提取的特征，平台为用户提供个性化的内容推荐。推荐算法考虑了用户的实时行为和历史行为，以及用户之间的关系，确保推荐结果的准确性和相关性。</p><p>用户反馈：用户对推荐结果进行反馈，平台根据反馈不断优化模型和算法。通过持续的迭代和改进，平台能够不断提高推荐的精准度和用户满意度。</p><p>安全监控：在整个过程中，平台还引入了安全监控机制，确保数据的隐私和安全。通过加密、访问控制等技术手段，防止数据泄露和滥用。</p><p>微算法科技的WEB3.0社交平台利用离散时间图神经网络，具有多项显著的<span>技术优势</span>。结合时间动态变化的图结构数据和先进的算法框架，DT-GNNs模型能够准确预测用户的未来行为和市场趋势从而提高营销活动的精准度和效果。离散时间图神经网络能够捕捉到用户行为的细微变化，从而提供更加精准的个性化推荐。这不仅提高了用户的满意度，也增加了平台的用户粘性。</p><p>微算法科技(NASDAQ：MLGO)的WEB3.0社交平台可广泛应用与内容推荐、社交互动、广告投放、市场研究等多个领域。随着技术的不断发展和完善，WEB3.0社交平台有望在未来实现更多的创新和应用突破。一方面，离散时间图神经网络将继续优化和扩展，提升其在动态图上的表示学习能力；另一方面，平台将结合更多的先进技术，如强化学习、迁移学习等，进一步提升个性化推荐的精准度和效果。此外，随着区块链技术的发展，平台将探索更多的去中心化应用，提升用户的隐私保护和数据安全。</p></article></body></html>","source":"tencent","collect":0,"html":"<!DOCTYPE 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{color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n微算法科技利用离散时间图神经网络DT-GNNs模型,创建个性化营销的WEB3.0社交平台\n</h2>\n\n<h4 class=\"meta\">\n\n\n2025-06-10 09:52 北京时间&nbsp;&nbsp;&nbsp;<a href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b><strong>CCTIME飞象网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>随着互联网技术的飞速发展，Web3.0时代悄然来临，标志着互联网向更加去中心化、智能化和个性化的方向迈进。如何利用区块链实现WEB3.0商业化应用，是机遇与挑战。微算法科技(NASDAQ：MLGO)积极探索创新技术，利用离散时间图神经网络，创建了一个个性化营销的WEB3.0社交平台。离散时间图神经网络是一种结合了图神经网络（Graph Neural Networks, GNNs）与时间序列分析技术...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"MLGO":"MicroAlgo, Inc.","BK4134":"信息科技咨询与其它服务"},"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202506101019539515a179&s=b","is_english":false,"share_image_url":"https://static.laohu8.com/9a95c1376e76363c1401fee7d3717173","article_id":"2542635067","content_text":"随着互联网技术的飞速发展，Web3.0时代悄然来临，标志着互联网向更加去中心化、智能化和个性化的方向迈进。如何利用区块链实现WEB3.0商业化应用，是机遇与挑战。微算法科技(NASDAQ：MLGO)积极探索创新技术，利用离散时间图神经网络，创建了一个个性化营销的WEB3.0社交平台。离散时间图神经网络是一种结合了图神经网络（Graph Neural Networks, GNNs）与时间序列分析技术的高级模型，旨在处理具有时间动态变化的图结构数据。在图论中，节点代表实体（如用户、商品等），边代表实体之间的关系（如关注、购买等）。DT-GNNs通过捕捉图结构中的节点特征和边关系，并结合时间戳信息，对节点的未来状态或行为进行预测。在个性化营销的WEB3.0社交平台中，DT-GNNs能够深度挖掘用户行为数据，理解用户偏好和需求，从而为用户提供定制化的内容推荐和营销策略。微算法科技在利用离散时间图神经网络创建个性化营销的WEB3.0社交平台，采用了高效的DT-GNNs算法框架，该框架支持大规模图数据的并行处理和实时更新，确保了系统的高性能和可扩展性。微算法科技引入了先进的注意力机制（Attention Mechanism）和强化学习（Reinforcement Learning）技术，使DT-GNNs模型能够更准确地捕捉用户兴趣的变化和市场的动态趋势。数据收集：平台通过用户行为日志、社交互动数据等多源数据收集，构建了一个庞大的动态图数据库。这些数据包括用户的点击行为、点赞、评论、分享等，以及用户之间的关系数据。数据预处理：收集到的原始数据需要进行清洗、去重和格式化处理，以确保数据的质量和一致性。预处理后的数据被转换为适合图神经网络处理的格式。图构建：基于预处理后的数据，平台构建了一个动态图，其中节点代表用户或内容，边代表用户之间的关系或用户与内容之间的互动。动态图能够反映用户行为随时间的变化。离散时间图神经网络训练：利用离散时间图神经网络模型，平台对动态图进行节点表示学习。网络通过信息传递和聚合机制，逐步更新节点的表示向量，捕捉节点在不同时间点的状态变化。特征提取：训练后的网络能够从节点表示中提取出丰富的特征信息，这些特征包括用户的兴趣、偏好、社交关系等。这些特征为后续的个性化推荐提供了基础。个性化推荐：基于提取的特征，平台为用户提供个性化的内容推荐。推荐算法考虑了用户的实时行为和历史行为，以及用户之间的关系，确保推荐结果的准确性和相关性。用户反馈：用户对推荐结果进行反馈，平台根据反馈不断优化模型和算法。通过持续的迭代和改进，平台能够不断提高推荐的精准度和用户满意度。安全监控：在整个过程中，平台还引入了安全监控机制，确保数据的隐私和安全。通过加密、访问控制等技术手段，防止数据泄露和滥用。微算法科技的WEB3.0社交平台利用离散时间图神经网络，具有多项显著的技术优势。结合时间动态变化的图结构数据和先进的算法框架，DT-GNNs模型能够准确预测用户的未来行为和市场趋势从而提高营销活动的精准度和效果。离散时间图神经网络能够捕捉到用户行为的细微变化，从而提供更加精准的个性化推荐。这不仅提高了用户的满意度，也增加了平台的用户粘性。微算法科技(NASDAQ：MLGO)的WEB3.0社交平台可广泛应用与内容推荐、社交互动、广告投放、市场研究等多个领域。随着技术的不断发展和完善，WEB3.0社交平台有望在未来实现更多的创新和应用突破。一方面，离散时间图神经网络将继续优化和扩展，提升其在动态图上的表示学习能力；另一方面，平台将结合更多的先进技术，如强化学习、迁移学习等，进一步提升个性化推荐的精准度和效果。此外，随着区块链技术的发展，平台将探索更多的去中心化应用，提升用户的隐私保护和数据安全。","news_type":1,"symbols_score_info":{"MLGO":0.9}},"isVote":1,"tweetType":1,"viewCount":680,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":434460559241584,"gmtCreate":1747103458123,"gmtModify":1747103458969,"author":{"id":"4202557370726802","authorId":"4202557370726802","name":"Victor 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href=\"https://laohu8.com/S/02097\">$蜜雪集团(02097)$</a> 我觉得今天应该能看到300","text":"$蜜雪集团(02097)$ $蜜雪集团(02097)$ 我觉得今天应该能看到300","images":[{"img":"https://static.tigerbbs.com/05be9b4e07bfbc175e3dadb0c0e7c21e","width":"327","height":"545"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/409409314701968","isVote":1,"tweetType":1,"viewCount":703,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"CN","totalScore":0},{"id":407363090415944,"gmtCreate":1740472255659,"gmtModify":1740539352159,"author":{"id":"4202557370726802","authorId":"4202557370726802","name":"Victor Wu","avatar":"https://static.tigerbbs.com/0a4a05975ccfe1ae0efc7d6b59930d04","crmLevel":5,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4202557370726802","idStr":"4202557370726802"},"themes":[],"htmlText":"没多少 希望能中","listText":"没多少 希望能中","text":"没多少 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