精品文档---下载后可任意编辑个性化推举技术在农业推广系统中的应用——基于美国农业部网站实例讨论的开题报告摘要：个性化推举技术是一种根据用户的历史行为和个人兴趣，自动化生成推举结果的技术，被广泛应用于电商、社交媒体、新闻媒体等领域。然而，对于农业领域，个性化推举技术的应用还处于探究阶段。本讨论以美国农业部网站为例，探讨个性化推举技术在农业推广系统中的应用。通过对网站访客的历史行为和个人兴趣进行分析，构建用户画像，并通过协同过滤和基于内容的推举算法，生成个性化推举结果。结果显示，个性化推举技术在农业推广系统中具有较高的适用性和效果，可以帮助用户更快速地找到所需信息，提高农业推广效率。关键词：个性化推举技术、农业推广、用户画像、协同过滤、基于内容的推举算法Abstract:Personalized recommendation technology is an automated way of generating personalized results based on a user's past behavior and interests, which has been widely used in e-commerce, social media, news media and other fields. However, in the field of agriculture, the application of personalized recommendation technology is still in the exploration stage. This study takes the website of the United States Department of Agriculture as an example to explore the application of personalized recommendation technology in agricultural promotion systems. By analyzing the historical behavior and personal interests of website visitors, a user profile is constructed, and personalized recommendation results are generated through collaborative filtering and content-based recommendation algorithms. The results show that personalized recommendation technology has high applicability and effectiveness in agricultural promotion systems, which can help users to find the required information quickly and improve the efficiency of agricultural promotion.Keywords:精品文档---下载后可任意编辑Personalized Recommendation Technology, Agricultural Promotion, User Profile, Collaborative Filtering, Content-Based Recommendation Algorithm
