TITLE

Exploring Social Networks and Improving Hypertext Results for Cloud Solutions

AUTHOR(S)
F. Costa, Jorge; Rodrigues, Joel; Simões, Tiago; Lloret, Jaime
PUB. DATE
February 2016
SOURCE
Mobile Networks & Applications;Feb2016, Vol. 21 Issue 1, p215
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Internet technologies are constantly evolving as well as the way people use them. Search engines help users to find higher and better relevant results to their searches. Cloud Computing is an evolution of the Internet services and provides a step further ecosystem that can be used to improve the search of more relevant results. Each search engine is based on different modules in order to retrieve the results expected by users using specific keywords. Social networks appear as a reliable Web technology that can directly support a content search. Several studies have been performed showing the growth of social networks in people lives. Using the cloud computing paradigm it is possible to propose a more scalable and efficient way to explore public information available on online social networks. This paper includes the analyses of several social networks services, available contents, cloud-crawlers, and information extraction. In order to collect relevant data from social networks, a social crawler on cloud is proposed. The new approach provides a cloud-based crawler for low-cost, effective, and personalized search models. Moreover, a new algorithm to rank Web documents is proposed and demonstrated. The proposed system is evaluated in comparison with the top Internet search engine, Google, its behavior is very promising, and it is ready for use.
ACCESSION #
114264740

 

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