Network Proximity for Content Discovery

Network Proximity for Content Discovery

context-aware computing

Bluetooth

Wi-Fi

proximity

social networks

data mining.

The paper describes our approach for using wireless sensors on mobile phones for delivering new data to mobile subscribers. We propose a new practical approach for social context-aware data retrieval based on mobile phones as a sensor concept. This approach uses Wi-Fi and Bluetooth modules located on mobile phones as sensors for getting proximity information that can open (discover) access to any user generated content or content published in the social networks. A special mobile service (context-aware browser client for Android) can present that information to mobile subscribers. The potential use-cases for the proposed approach include all projects associated with hyper-local news data. For example, news services in Smart City projects, proximity marketing, indoor data delivery, etc.

Daradkeh, Dr. Yousef Ibrahim

Namiot, Dmitry

International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 4 (2015); pp. 42-48

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2015-09-25

Copyright (c) 2017 Dr. Yousef Ibrahim Daradkeh, Dmitry Namiot

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eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article