Settimo di Montalto Uffugo, Italy

Giuseppe Manco


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Settino de Montalto Uffugo, IT (2016)
  • Settimo di Montalto Uffugo, IT (2019 - 2021)

Company Filing History:


Years Active: 2016-2021

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3 patents (USPTO):Explore Patents

Title: Giuseppe Manco: Innovator in Recommendation Systems

Introduction

Giuseppe Manco is a notable inventor based in Settimo di Montalto Uffugo, Italy. He has made significant contributions to the field of recommendation systems, with a focus on utilizing social network information to enhance user experiences. With a total of 3 patents, Manco's work has garnered attention in the tech industry.

Latest Patents

One of Giuseppe Manco's latest patents is a system and method for providing recommendations and explanations. This innovative approach involves a users-to-follow recommendation engine that leverages social network information. The system determines features related to users, including topical and social features. It constructs a model to identify a subset of users with high linkages, providing tailored recommendations and explanations based on the predominant basis for the linkage.

Career Highlights

Throughout his career, Giuseppe Manco has worked with prominent companies such as Yahoo! Inc. and Oath Inc. His experience in these organizations has allowed him to refine his skills in developing advanced recommendation systems. Manco's contributions have been instrumental in enhancing user engagement and satisfaction through personalized recommendations.

Collaborations

Giuseppe Manco has collaborated with notable professionals in the field, including Nicola Barbieri and Francesco Bonchi. These collaborations have further enriched his work and expanded the impact of his innovations.

Conclusion

Giuseppe Manco is a distinguished inventor whose work in recommendation systems has made a significant impact in the tech industry. His innovative approaches continue to shape how users interact with social networks and receive personalized recommendations.

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