Optimization of search engine results – Case Study
Reliable test data is essential for modern, self-learning systems. Self-learning systems need them in order to be trained on human behavior patterns and the desired behavior of algorithms. A few examples of the applications are:
robots, autonomic driving systems, language recognition and search engines.
What decision would a human being make, how would they react, where would they expect what, and in what kind of categories do they think?
If you need valid information just ask the crowd. In this instance, crowdsourcing in connection with a full project realization service is an ideal tool to quickly obtain valid data.
Case study – Optimization of search engine results
We would like to present a few practical examples of how our “categorization” service can be used to make search engines within websites “smarter”, and thus improve the relevance of the search results.