NDLI: Recsys'11 workshop outline PeMA 2011: personalization in mobile applications

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Recsys'11 workshop outline PeMA 2011: personalization in mobile applications

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Recsys'11 workshop outline PeMA 2011: personalization in mobile applications

Content Provider	ACM Digital Library
Author	Lathia, Neal Crowcroft, Jon Quercia, Daniele Capra, Licia
Abstract	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. The goal of this one-day workshop was to bring together researchers and practitioners to explore, discuss, and understand challenges and new opportunities for personalisation within the urban domain. Topics of discussion during the workshop included: Innovative applications of recommender systems in mobile settings; Location and/or context-based recommender systems; Recommending locations, venues, and social events; Incentives and persuasion in mobile settings; User-centric evaluation of personalised mobile services; Recommender systems for smart cities/urban environments; Intelligent transport systems; Real-time and/or multi-source information processing for personalisation; Personalized and adaptive mobile interfaces; Security, privacy, reputation and trust issues in mobile recommenders; Geographic/location-based social networks and social filtering; Case studies of recommender systems in mobile envi- ronments.
Starting Page	391
Ending Page	392
Page Count	2
File Format	PDF
ISBN	9781450306836
DOI	10.1145/2043932.2044018
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-10-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mobile systems Social computing Location-based systems Pervasive and urban computing Personalisation Recommender systems
Content Type	Text
Resource Type	Article

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