Today's column is written by Amiad Solomon, Founder & President at Peer39.
In an effort to improve the accuracy of its search engine, Google recently acquired Metaweb, a semantic Web company with a robust database of thousands of “entities” that the company claims are easier to match to search results than regular keywords, which can have multiple, confusable, meanings. Google’s hope is that this technology will help it return more relevant search results and increase the accuracy of targeted ads on its paid search platform by matching the best keywords with queries.
A quick view of Metaweb’s intro video reveals that the company believes it is too tricky and messy to try to understand text on the web; instead the company prefers to organize the web by “entities,” or titles for singular objects with one meaning. As innovative as this may seem, this platform is one of many that focuses only on isolated keywords, and ignores strings of text or phrases, which add a richer layer of meaning toward understanding text.
The display ad industry is becoming increasingly data driven. While keyword-based targeting is certainly a helpful data point to have, online advertisements bear the highest chance of success with a user when the ad message matches the meaning of an entire piece of content, in the way that a human processes it. People understand content as a long string of words that tie together and relate to each other, not as a series of disconnected keywords. In order for ads to be truly relevant, content, not keyword, clarity is what’s worth digging for.