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Utilizing social context for providing personalized services to mobile users

Utilizing social context for providing personalized services to mobile users. A EuroSSC 2010 presentation Athanasios Karapantelakis and Gerald Q. Maguire Jr. Royal Institute of Technology (KTH), Stockholm Sweden. Industrial sponsor : Conformiq Inc. Agenda. Introduction System overview

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Utilizing social context for providing personalized services to mobile users

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  1. Utilizing social context for providing personalized services to mobile users A EuroSSC 2010 presentation Athanasios Karapantelakis and Gerald Q. Maguire Jr. Royal Institute of Technology (KTH), Stockholm Sweden. Industrial sponsor: Conformiq Inc

  2. Agenda • Introduction • System overview • Measurements and results • Q&A session

  3. Introduction (1/2) • Trends in social media usage today • Increase in social network usage, blogging and community sites. • Users spend more time online browsing Social Networks, than reading e-mail [1] • Social network users going mobile [2] • Commercial application • “After friends and family, the number one driver for brand trust is online reviews and feedback from the social media space”. [3] • Social Technologies Gain Traction In The Enterprise – Year: 2010 Will Be The Year Of differentiation for vendors to stay relevant. [4] • Personalized social networking in the center of next-generation social networking platforms Mark Zuckerberg: “Facebook is part of the shift toward more social and personalized experiences everywhere online.” [5] [1] eMarketer: More Time Spent on Social Media than Email Worldwide: Email most common daily activity, but social racks up more hours http://www.emarketer.com/Articles/Print.aspx?1008025 [2] ComScore inc. - Facebook and Twitter Access via Mobile Browser Grows by Triple-Digits in the Past Year, March 2010 http://www.comscore.com/Press_Events/Press_Releases/2010/3/Facebook_and_Twitter_Access_via_Mobile_Browser_Grows_by_Triple-Digits [3] The Nielsen Company – Friending the Social Consumer, June 16, 2010 http://blog.nielsen.com/nielsenwire/online_mobile/friending-the-social-consumer/ [4] Forrester Research - Enterprise Social Networking 2010 Market Overview http://www.forrester.com/rb/Research/enterprise_social_networking_2010_market_overview/q/id/56777/t/2 [5] Mark Zuckerberg - Building the Social Web Together April 21, 2010 http://blog.facebook.com/blog.php?post=383404517130

  4. Introduction (2/2) • Challenge: how to take advantage of the abundance of social context available online, to proactively provide personalized content to users. • Problem outline: • Social context is dispersed in different non-interoperable social networks [1]. • Personalized content is provided to the users superficially (e.g. friend recommendations, group publications, recommendations based on loose criteria etc.). • Proposed Solution: • (1) A context-awaresystem which aggregates social context, to synthesize user profiles and recommend Web feeds of related content to users. • (2) A user mobile application which receives web feeds and presents them to the user in an intuitive way. • Multiple dimensions in the solution: • System architecture • Information aggregation and modeling • Criteria of selection [1] Economist Print Edition: Online social networks: Everywhere and nowhere, March 2008.

  5. System overview Applications (iOS app) Original Implementation:Karapantelakis, A. and Devlic, A. and ZarifiEslami, M. and Khamit, S. Printing in Ubiquitous Computing Environments. In: 6th International Conference on Ubiquitous Intelligence and Computing, 7-9 Jul 2009, Brisbane, Australia. NOTIFY SUBSCRIBE Context Broker Content Service Agents (Content Providers) PUBLISH Context Sources (Social Networks)

  6. Context Broker • Raw Context Modeling: FOAF & custom RDF-based schemas create a user profile. • Certain context transcoded with the help of web domainknowledge to produce more meaningful results. • Maintain Subscription Base: • Based on SIP/SIMPLE • Decision Algorithm • Triggered every time an incoming feed arrives. • Calculates how the new feed matches each of the user profiles stored in the system. • If the calculation shows a match for a given profile, the feed is forwarded to the user application via a NOTIFY message.

  7. User Application

  8. Measurements (1/5) • Exposed system for public use, for a 6-month period. • 462 users participated during that time. • Privacy concerns: TOS requested users for permission to access personal information for anonymous statistical analysis. • Measured system performance and perceived user experience. • Preliminary results

  9. Measurements (2/5)

  10. Measurements (3/5)

  11. Measurements (4/5) • Reinforcing a statement

  12. Measurements (5/5) • Percieved User Experience measurements

  13. Conclusion • Presented a system for aggregating social context for personalized context. • Relevant with current trends. • System exposed to public use for 6 months. • Large dataset of traces after exposing the system for public use allows for further investigation • Future enhancements • Taking advantage of social relations between people (friendships, business affiliations, etc.)

  14. Thanks for attending ! • Q&A Session

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