Making strategic decisions is a complex process that requires reliable and up-to-date information. It is therefore necessary to have
tools that facilitate the information management. Technology Surveillance (TS) and Competitive Intelligence (CI) are two
disciplines that seek to obtain accurate and up-to-date information. Clearly, the web is the largest and most important source of
information, but their destructuring and disorganization requires tools that help to manage it. This work presents a model for TS
and CI using Web Mining techniques such as ranking algorithm of web pages based on machine learning, i.e. the Advanced
Cluster Vector Page Ranking (ACVPR) algorithm
