TaskDo:每日任务推荐系统

M. Kuhail, Nikhil Sai Santosh Gurram
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引用次数: 3

摘要

许多人,如职业人士、学生和房屋建造者,经常发现缺乏时间和时间管理是成功完成任务的问题。任务完成失败的关键原因之一是对任务的规划不合理。有许多任务管理和待办事项列表应用程序,但它们中的大多数都不提供最佳任务管理建议和最佳性能指导。这个问题促使我们贡献了一个任务推荐系统,该系统根据用户的任务历史和特定时间的各种因素向用户推荐特定类型的任务。该系统不仅为用户推荐特定类型的任务,而且还收集用户的反馈,使推荐系统学习如何提供有用的推荐,从而使用户的时间更有效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TaskDo: A Daily Task Recommender System
Many individuals like working professionals, students, and house makers often find lack of time and time management as problems forsuccessful task accomplishment. One of the key reasons for failure in task accomplishment is inefficient planning of the tasks. There are many task management and to-do-list applications, but most of them do not advise on optimal task management and guidance for optimal performance. This problem has driven us to contribute a task recommender system which suggests a specific type of tasks to users based on their history of tasks and various factors at that specific time. This system not only suggests a specific type of task for the user but also collects feedback from the user to make the recommender system learn on how to provide useful recommendations thus making the users time much productive.
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