“Wrong path” algorithm for content search systems

Abstract

Search systems design is based on the successful rate of content find. The key problem in that kind of design is a good probability of failure in content find if any mistake in the system occurs. The article discusses an algorithm that increases the chances of successful content find in content search systems by analyzing user behavior. The algorithm describes the process of data gain by the system, data transfer into marshallable essences, and corresponding results determination. The article also refers to most common algorithms that serve as the basement for the <> algorithm, their problems and key features. The article discusses possible improvements of the algorithm that should be taken into account in future.