Algorithm for intelligent prediction of requests in business systems

Abstract

We present an algorithm for intelligent prediction of user requests in a system based on the services hosted by independent providers. Data extracted from requests is organized in a dynamically changing graph representing dependencies between operations and input arguments as well as between groups of arguments mutually coexisting in requests. The purpose of the system is to suggest the possible set of future requests basing on the last submitted request and the state of the graph. Additionally the response time may be shortened owing to the background executing and caching of the requests most likely to be asked. The knowledge extracted from the graph analysis reveals the mechanisms that govern the sequences of invoked requests. Such knowledge can help in semi-automatic generation of business processes. The algorithm is a part of ASK-IT (Ambient Intelligence System of Agents for Knowledge-based and Integrated Services for Mobility Impaired users) EU project1. © Springer-Verlag Berlin Heidelberg 2008.