Development of a Self-Learning Recommendation Module for a Hashtag-based PIM System
The goal of this bachelor thesis is the development of a flexible and self-learning recommendation module for an already existing personal information management system, which uses hashtags to structure information and entries. The recommendation module suggests hashtags to the user and auto-completes hashtags. The recommendation is personalized to the respective user by a self-learning recommendation algorithms. The recommendation module increases the usability of the system and homogenizes the hashtag vocabulary as it avoids the usage of synonyms.