07-09-2013, 01:19 PM
A Framework for Semantic Advertisement over Social Media
Framework for Semantic.pdf (Size: 98.63 KB / Downloads: 13)
Abstract
Social networking has become a reality with presence of many
sites such as Facebook, Twitter etc. They facilitatate people to
have virtual communiies across the world and allow them to have
communication through various means. Advertising in such web
sites can provide maximum benefits to the companies. This paper
presents a framework that supports semantic advertisement over
such web sites based on the user preferences or favourites and
interests by performaing mining user’s interactions in the social
networking sites. Our framework can categorize social
networking users based on the topic exchanges in the network
and discover after mining the conversations as to which kind of
advertisement can be placed in user’s pages automatically. Thus
relevant advertisements which are meaningful to users as per
their interests can be placed so as to attract the users. When
compared to traditional advertising methods, this method
improves or promotes businesses more and the cost of
advertisement can be lowered as well.
Introduction
Due to advent of Internet and its associated technologies
such as web services and SOA, social netoworking
became a realit and we can see more and more such sites
coming up to serve people. The social networks provide a
platform for people to meet and exchange views from any
corner of the world without time and geographical
restrictions. Different types of socialnetworks is possible
such as instance messaging, forums, emails and web logs
besides sites like Facebook, Twitter etc. Internet users can
have virtual communiies over social networking sites to
foster friendship and even professional conversations thus
making it a great experience when used positively. The
social networking sites also can waste time if used
negatively or unnecessarity. However, they have important
influence on people in the real life [1].
Environment Analysis
For successful advertisement, choosing suitable place is
very important. In case of social netowkrs also, it is
important to choose better site with more number of users
involved in the converatins. Very popular web sites that
are into social networking business have to be used.
However, before chsooing, their popularity has to be
analysed. For this reason this section provides a series of
graphs to know that.
Conclusion
This paper presents a new of advertising known as
semantic advertisement which is based on mining the
interactions of people in the social networking sistes. This
brings out the hidden potential of social networking
environments. The facilities like Email, IM, and other
facilities using which people across the globe can
communicate revelutionised the communication scenarios.
The led to the new way of advertising as well. Virual
marketing has become an established practice. In this
paper we proposed and implemented a framework that
allows mining of user interactions and find out their
interested topics and publish advertisements that suits their
interests. This helps in making them more meaningful and
useful to users also. Their dissatisfaction is minimized and
the advertising companies and sponsers make more
business. Moreover the advertisements based on mining
human interactions can improve the relevancy of
advertisement and also make it cheaper when compared
with traditional advertising. Thus our framework helps in
promoting businesses with ease by making semantic
advertisements that are more effective and the result of
business intelligence. Such advertisements can always lead
to profits to organizations in question when compared with
traditional advertisements