TaskDo: A Daily Task Recommender System

Abstract

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.