Company Filing History:
Years Active: 2005-2019
Title: Igor Perisic: Innovator in Information Retrieval and Influence Mapping
Introduction
Igor Perisic is a notable inventor based in San Mateo, CA (US), recognized for his contributions to the fields of information retrieval and social networking. With a total of 3 patents, he has developed innovative technologies that enhance the way users interact with information and social graphs.
Latest Patents
One of Igor's latest patents is the "Influence Map Generator Machine." This invention generates influence maps based on profiles of entities, such as members of an online social networking service. The machine treats these entities as nodes within a social graph, ranking them according to seniority information contained in their profiles. It groups nodes into clusters based on skill similarity and generates graphical presentations of the nodes, complete with visual indicators of seniority and skill similarity.
Another significant patent is the "System and Method for Personalized Information Retrieval Based on User Expertise." This system receives search requests that include search terms and user identifiers. It searches a plurality of objects based on these terms and calculates an intrinsic score for each located object. The score is adjusted based on the expertise of the creator or contributor of the object compared to the searcher's expertise, thereby personalizing the information retrieval process.
Career Highlights
Igor has worked with several prominent companies, including Entopia, Inc. and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his innovative approach to technology and information systems.
Collaborations
Igor has collaborated with notable individuals in his field, including Christian Posse and Mario Sergio Rodriguez. These collaborations have likely enriched his work and led to further advancements in his projects.
Conclusion
Igor Perisic stands out as an inventor whose work in influence mapping and personalized information retrieval has the potential to transform how users engage with social networks and information systems. His innovative patents reflect a deep understanding of technology and user experience.