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Okkyung Choi, Kangseok Kim, Duksang Wang, Hongjin Yeh and Manpyo Hong
Received 05 Jan 2011; Accepted 07 Feb 2012
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Introduction
Related Work
Social Network Formal Model
Personalized Mobile Information Retrieval System
Implementation Results
Experimental Results and Analysis
Conclusions
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• Social Network
– Nodes、Links
• Analyze characteristics , then Develop
– Accurate
• Efficient personalized information
– SNS records、prioritized、correct & promote
• Semantic web → Semantic Retrieval
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• Personalization methods
– Rule‐based & content‐based system
– Social tagging system
– Based ontology to score
• Social network model
– Fuzzy theory
– Granular computing
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• Problem & Solution
– Milk 、Apple
• Structural Modeling
– Node、Link
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• Personalization
– Preferences of users & Relevance to context
• Prevalence of The Internet
– More reliable & Logical data
• Utilizing Data Stored in NFC
– Fast & Accurate
• Future Research
– Screen interface : Need in detail
– More detailed division
– Design a methodology : Examine inefficiently、More exact system
• SNS + NFC Smartphone
– Payments by touching a NFC tag
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• Personalized Android + GoogleMapAPI
• Build a Registry to Store private preference
• By Score it to Upgrade it
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Thank you for listening
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