Advertisements are everywhere, from print publications to road-side billboards, and of course TV and on the Web. The intent of advertising is no different regardless of the medium. Advertisers are constantly feuding to win over consumer sentiment. On the Internet, ad-serving technologies have become so advanced that ads can now be targeted based on one’s individual web browsing history and behaviors, likes, shares, location, device type and other factors. From time to time, however, ad placements land severely out-of-context, and here is one such example of online advertising gone bad.
zvelo once offered 53 categories that were used to classify content on websites about Businesses & Services, Politics & Law, Portal Sites and others. This was later raised to 141 categories to help cover even more topics. The latest version boasts nearly 500 categories, making it one of the most granular categorization sets in the industry. We’ve managed to upgrade our categorization systems to better serve the needs of our existing and future technology partners and following is one example why this matters.
Manually classifying the content on a single web page takes but a few seconds to accomplish. Analyzing the keywords – words or phrases – used and the number of instances of each – keyword density – is one way to go about it. When needing to classify the content on billions of web pages at a time, however, the task becomes overwhelmingly daunting for any human eye to handle. In this scenario, only an automated content classification engine can succeed.