论文标题
设计一种用于个性化建议以减少塑料污染的新方法
Designing a Novel Method for Personalizing Recommendations to Decrease Plastic Pollution
论文作者
论文摘要
第三世界国家往往拥有较高的塑料废物，而每人的塑料废物产生较高，而塑料废物的管理不足。塑料污染的特征的差异取决于该国的地位，导致对用户的最佳建议有所不同。通过大型文字和欧司令模因分析，我构建了一份清单，并为第一世界和第三世界国家提供了最佳建议。根据列表，我设计了一个用户界面WIT Google Apps脚本，该脚本根据该国的地位和用户的首选难度提供个性化建议，并根据代码的六种质量重新评估代码。用户界面的目的是帮助那些希望通过为每个用户提供一组个性化任务并通过点跟踪系统向其负责的人来帮助解决塑料污染。对于大量用户，该应用程序最终可能有助于解决塑料污染的问题。
Third world countries tend to have a higher share of plastic waste that is inadequately managed while the First world countries have higher plastic waste generation per person. A difference in the characteristics of plastic pollution depending on the country's standing results in varying optimal recommendations for users. Through Big Text and OSOME meme analysis, I constructed a list with optimal recommendations for First World and Third World countries. Based on the list, I designed a User Interface wit Google Apps Scripts that provide personalized recommendations based on the country's standing and user's preferred difficulty and reassessed the code based on the six qualities of code. The purpose of the User Interface is to aid people who wish to help solve plastic pollution by offering a set of personalized tasks for each user and keeping their progress accountable through a point tracking system. With a significant number of users, the application could eventually contribute to solving the problem of plastic pollution.
