Computational Advertisement

Marketing products through advertising is in very beginning,. The advancement of technology further speeded up the pace and frequency of adds for marketing products. Web based advertising is one of the advanced way of marketing products, however, advertiser are concern about the accuracy of the add and its target market sufficient to grab the attention for web based users. Aside from advertisers interest behaviorists and social scientists are also curious about what actually influence a person to click certain adverstisment on the virtual world of the Web. The social scientists are now entering into the new world of computer social sciences which will not only enable them to quantify the behavior but may also assist them to get more knowledge about the various actions elicited by an individual or groups while using a web. 

In future advertising agencies will be more interested to outreach their target audience on www forums. TV advertisements will soon be shifted towards particular web pages of common interest. Multi million WWW users are well knitted together and a lot of social networks have been emerged from such informal contacts. These networks are spread across the languages, countries and even continents. An individual in a social network get influenced by its neighbors and also influence others more effectively and quickly as compared to our social contacts in our locality.

Micro blogging also ignition the quick spread of ideas over www.

Consisely, a web based advertisement and the reason for clicking the web based advertisement may also be identified through computational social sciences ideas. Computer science has to contribute in this new field i.e. Computational Advertisement. Text mining approaches, classification of relevant web pages (http://www.cse.lehigh.edu/~brian/pubs/2007/classification-survey/LU-CSE-07-010.pdf), traffic monitoring on web sites, identifying important centric web sites and many other problems still waiting for computer science community to work upon. (Good resource on Computational Advertisement http://www.stanford.edu/class/msande239/)

At the end Social Network Analysis (Steve Borgatti) tools with other computer science techniques and marketing, advertisement frameworks have to contribute a lot under the new discipline i.e. Computational Social Science.