算法推荐服务是指利用生成合成类、个性化推送类、排序精选类、检索过滤类、调度决策类等算法技术向用户提供信息的服务。其在满足人们多元化需求的同时也产生了技术异化、信息失真泄漏、欺诈顾客等风险,对电子商务发展具有不可小觑的打...算法推荐服务是指利用生成合成类、个性化推送类、排序精选类、检索过滤类、调度决策类等算法技术向用户提供信息的服务。其在满足人们多元化需求的同时也产生了技术异化、信息失真泄漏、欺诈顾客等风险,对电子商务发展具有不可小觑的打击,应从多个维度协同治理。随着《电子商务法》的出台,以期构建生态环境良好的互联网信息服务环境,规制滥用算法推荐技术的法律风险。Algorithmic recommendation service refers to a service that provides information to users using algorithm technologies such as generative synthesis, personalized push, sorting and selection, retrieval and filtering, scheduling and decision-making. While meeting people’s diverse needs, it also generates risks such as technological alienation, information distortion and leakage, and customer fraud, which have a significant impact on the development of e-commerce and should be addressed through collaborative governance from multiple dimensions. With the promulgation of the Electronic Commerce Law, it is expected to build an Internet information service environment with a good ecological environment and regulate the legal risk of abusing algorithm recommendation technology.展开更多
文摘算法推荐服务是指利用生成合成类、个性化推送类、排序精选类、检索过滤类、调度决策类等算法技术向用户提供信息的服务。其在满足人们多元化需求的同时也产生了技术异化、信息失真泄漏、欺诈顾客等风险,对电子商务发展具有不可小觑的打击,应从多个维度协同治理。随着《电子商务法》的出台,以期构建生态环境良好的互联网信息服务环境,规制滥用算法推荐技术的法律风险。Algorithmic recommendation service refers to a service that provides information to users using algorithm technologies such as generative synthesis, personalized push, sorting and selection, retrieval and filtering, scheduling and decision-making. While meeting people’s diverse needs, it also generates risks such as technological alienation, information distortion and leakage, and customer fraud, which have a significant impact on the development of e-commerce and should be addressed through collaborative governance from multiple dimensions. With the promulgation of the Electronic Commerce Law, it is expected to build an Internet information service environment with a good ecological environment and regulate the legal risk of abusing algorithm recommendation technology.
