Long time, no tweets! Time-aware personalised hashtag suggestion

Harvey, Morgan and Crestani, Fabio (2015) Long time, no tweets! Time-aware personalised hashtag suggestion. In: ECIR 2015 - 37th European Conference on IR Research, 29th March - 1st April 2015, Vienna, Austria.

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Microblogging systems, such as the popular service Twitter, are an important real-time source of information however due to the amount of new information constantly appearing on such services, it is difficult for users to organise, search and re-find posts. Hashtags, short keywords prefixed by a # symbol, can assist users in performing these tasks, however despite their utility, they are quite infrequently used. This work considers the problem of hashtag recommendation where we wish to suggest appropriate tags which the user could assign to a new post. By identifying temporal patterns in the use of hashtags and employing personalisation techniques we construct novel prediction models which build on the best features of existing methods. Using a large sample of data from the Twitter API we test our novel approaches against a number of competitive baselines and are able to demonstrate significant performance improvements, particularly for hashtags that have large amounts of historical data available.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Related URLs:
Depositing User: Morgan Harvey
Date Deposited: 23 Jan 2015 10:37
Last Modified: 17 Dec 2023 16:19
URI: https://nrl.northumbria.ac.uk/id/eprint/21217

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