16-02-2017, 09:56 AM
Due to the advent of the Internet and its associated technologies such as web services and SOA, social networks have become a reality and we can see more and more such sites coming to serve people. Social networks provide a platform for people to meet and exchange views from any corner of the world without geographic and time constraints. Different types of social networks are possible, such as instance messaging, forums, emails and web logs, as well as sites like Face book, Twitter, etc. Internet users can have virtual communities through social networking sites to foster friendship And even professional conversations making it a great experience when used positively. Social networking sites can also waste time if used negatively or unnecessarily. However, they have a major influence on people in real life. As social networking became popular and users are increasing day by day, they will have lots of traffic through conversations through the users. These huge data become gold mining for researchers for data mining operations. By analyzing these data can understand the collective behavior of people. They can also be used for advertising and marketing purposes.
In this article we will undermine conversations among users and find their preferred topics of interaction, and make decisions about placement of ads. We call it semantic ads that will have more benefits compared to traditional advertising. This is because placing advertisements on user pages is done after discovering the user's interests or favorites. These types of ads are more effective because they are knowledge based. In traditional advertising there is no provision to find the interests of people. We simply place ads and users may or may not respond to them. On the other hand, traditional advertising is very costly compared to ads published on social media media. This is a very positive advantage and also the advertisement based on human interactions makes the semantic ad that is after mining the data thus giving the necessary business intelligence which helps to make informed decisions on the fly. On social networking sites, there is more flexibility in terms of ad size as well. The result of such ads can minimize user dissatisfaction and achieve more success compared to the traditional advertising system.
In this article we will undermine conversations among users and find their preferred topics of interaction, and make decisions about placement of ads. We call it semantic ads that will have more benefits compared to traditional advertising. This is because placing advertisements on user pages is done after discovering the user's interests or favorites. These types of ads are more effective because they are knowledge based. In traditional advertising there is no provision to find the interests of people. We simply place ads and users may or may not respond to them. On the other hand, traditional advertising is very costly compared to ads published on social media media. This is a very positive advantage and also the advertisement based on human interactions makes the semantic ad that is after mining the data thus giving the necessary business intelligence which helps to make informed decisions on the fly. On social networking sites, there is more flexibility in terms of ad size as well. The result of such ads can minimize user dissatisfaction and achieve more success compared to the traditional advertising system.