NEW YORK – Semantic Engines LLC, an industry leader in semantic and sentiment analysis tools, has released Contextual Ad-Matching API. The API analyses a webpage on-the-fly and selects the most relevant ad category for it.
Users are bombarded with ads everywhere they go on the Web. Very often these ads are unrelated not only to the user’s interests, but even to the topic of the webpage the user is viewing. To achieve high accuracy in picking the right ad for the page, Contextual Ad-Matching API uses semantic analysis of the webpage content. Based on the key semantic concepts extracted from the webpage, the most relevant ad category is selected. Relevant subcategories can be returned by the API as well, allowing to fine-tune the ad selection.
Semantic Engines uses proprietary taxonomy consisting of dozens of top-level categories and thousands of low-level ones. The taxonomy can be customized for a specific client or campaign.
When the user’s attention is dedicated to an article, a relevant ad is likely to be seen as a value-add rather than a nuisance. The difference may result in higher conversion rates. “Using semantic analysis dramatically improves the relevance,” – says Dmitri Soubbotin, CEO & Founder of Semantic Engines. “Pure keyword match may render a lot of “noise” – i.e., an article may mention the word “computer” but be primarily about pets. It would be a waste to display a computer manufacturer’s ad next to such article. Unlike that, our semantic analysis understands the content of a page and picks an ad category which is close to the topic”.
Contextual Ad-Matching API supports SOAP and REST protocols. The API is deployed in a computing cloud. This gives it virtually unlimited scaling capabilities and high performance to support client requests.
A free trial and a demo of the API is available via this page: http://www.SemanticEngines.com/ContextualAdAPI.aspx
About Semantic Engines LLC:
Semantic Engines is based in New York City and has been in business since 2007. The company is mostly known for its sentiment analysis (OpinionCrawl.com) and semantic search (SenseBot.net) tools.
