Paper: Time-aware Personalized Hashtag Recommendation on Social Media

ACL ID C14-1021
Title Time-aware Personalized Hashtag Recommendation on Social Media
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

The task of recommending hashtags for microblogs has been received considerable attention in recent years, and many applications can reap enormous benefits from it. Various approaches have been proposed to study the problem from different aspects. However, the impacts of temporal and personal factors have rarely been considered in the existing methods. In this paper, we propose a novel method that extends the translation based model and incorporates the temporal and personal factors. To overcome the limitation of only being able to recommend hashtags that exist in the training data of the existing methods, the proposed method also incorporates extraction strategies into it. The results of experiments on the data collected from real world microblogging services by crawling demonstrate that ...