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Predicting User Intent Using Semantic Analysis

Dating back to early 2000, the Kontera founding team sought to answer a fundamental question – how could we provide users relevant and useful information without actively looking for it? This was and still is the fundamental quest behind Kontera’s vision: connecting the web’s information.

The answer to this question is what we call today the Third Generation of Online Information Interaction.
The first generation was developed using human mapped categorical directories.The second generation uses search engines where users type keywords that represent the information they are seeking in order to receive links to sites that relate to those keywords. Both methods require active thought and effort in order to find the information that would satisfy the user’s quest.

Third Generation Online Information Interaction is based on Kontera’s ability to understand the true meaning of content coupled with the ability to predict users’ intent. Kontera selects the most relevant keyword phrases and turns them into hyperlinks that connect users to relevant information.
Kontera’s patented In-Text Semantic Analysis technology predicts the user’s information intent based on content that the user is currently browsing coupled with real time information, extracted from thousands of web sites, about topics, keywords, content, and ads that are available and developing online.

List of In- text advertising networks:


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