This paper is published in Volume-5, Issue-2, 2019
Area
Contextual Advertisements
Author
Bayyavarapu Kranthi Kumar
Co-authors
Dadi Sharmila, Buraga Srinivasa Rao, Gedda Poojitha
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
20 March, 2019
Paper ID
V5I2-1325
Publisher
Keywords
Content-based advertising, Contextual advertising, RAKE, Scrapy, Advertising

Citationsacebook

IEEE
Bayyavarapu Kranthi Kumar, Dadi Sharmila, Buraga Srinivasa Rao, Gedda Poojitha. Qualitative data analysis on contextual advertisements, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Bayyavarapu Kranthi Kumar, Dadi Sharmila, Buraga Srinivasa Rao, Gedda Poojitha (2019). Qualitative data analysis on contextual advertisements. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Bayyavarapu Kranthi Kumar, Dadi Sharmila, Buraga Srinivasa Rao, Gedda Poojitha. "Qualitative data analysis on contextual advertisements." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

The internet advertising market is growing day by day much faster than any other advertising platform. The technology and methods used for advertising online go more and more towards automated processes that analyze the content of the page and then matches the ads with these parameters. Advertisers in web pages like Facebook and LinkedIn have some preferred set of users they wish to reach by showing their ads. Some sites offer fine-grained sets of user characteristics – including their career, wealth, education information, etc — that advertisers can specify for targeting their audience, and each of these characteristics requires different amounts of money for targeting. Generating contextual advertisements for websites is a problem of growing interest. The recent $240 million investment by Microsoft in Facebook clearly reaffirms the opportunity in contextual advertising for online social networks. Content-contextual advertisement programs such as Google AdSense and Yahoo Contextual Match work by automatically spotting keywords in web pages and displaying ads based on the keywords. The displayed ads are also referred to as Contextual Advertisements. Contextual advertising allows advertisers to display ads relevant to the content of the website rather than using the data about the visitor. Contextual ads can complement the content. Contextual ads are very effective for particular kinds of content. Some studies indicate they can increase click-through rate by 63%. These ads are generally represented by a URL along with a textual description that is also used to match the ad with the target page. User activity on venues such as forums, marketplaces, and groups on social networking sites are excellent targets for monetization.
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