SmartVenues: Recommending Popular and Personalised Venues in a City

Deveaud, R., Albakour, M.-D., Manotumruksa, J., Macdonald, C. and Ounis, I. (2014) SmartVenues: Recommending Popular and Personalised Venues in a City. In: CIKM '14: 23rd ACM International Conference on Conference on Information and Knowledge Management, Shanghai, China, 3-7 Nov 2014, pp. 2078-2080. (doi:10.1145/2661829.2661855)

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Publisher's URL: http://dx.doi.org/10.1145/2661829.2661855

Abstract

We present SmartVenues, a system that recommends nearby venues to a user who visits or lives in a city. SmartVenues models the variation over time of each venue's level of attendance, and uses state-of-the-art time series forecasting algorithms to predict the future attendance of these venues. We use the predicted levels of attendance to infer the popularity of a venue at future points in time, and to provide the user with recommendations at different times of the day. If the users log in with their Facebook account, the recommendations are personalised using the pages they "like". In this demonstrator, we detail the architecture of the system and the data that we collect in real-time to be able to perform the predictions. We also present two different interfaces that build upon our system to display the recommendations: a web-based application and a mobile application.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Macdonald, Dr Craig and Ounis, Professor Iadh and Manotumruksa, Jarana and Deveaud, Mr Romain and Albakour, Dr M-Dyaa
Authors: Deveaud, R., Albakour, M.-D., Manotumruksa, J., Macdonald, C., and Ounis, I.
Subjects:Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
ISSN:9781450325981
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