Workshop on Recommender Technologies for Lifestyle Change
This workshop follows from the 1st PeMA Workshop at ACM RecSys 2011 in Chicago (summary):
The rise of location-enabled mobile phones and location based services offers a great opportunity to apply personalization and recommender system technology to people’s everyday lives. A variety of digital traces can now be used to infer how people move about their city and extract their context and habits. Personalization and recommender systems, potentially merged with the data that people store online (e.g., social networks, web ratings), can then not only be used to recommend new places and events that they may find interesting to attend, but, more broadly, personalize and enhance any service that people find themselves using.
Organizers
- Neal Lathia (University of Cambridge, UK)
- Daniele Quercia (University of Cambridge, UK)
Workshop Date
September 13, 2012 (half day, a.m.)