Carmen Yaiza Rancel Gil

Title: Carmen Yaiza Rancel Gil: Innovator in Recommendation Systems

Introduction

Carmen Yaiza Rancel Gil is a notable inventor based in Barcelona, Spain. She has made significant contributions to the field of recommendation systems, particularly through her innovative patent. Her work focuses on methods and apparatus that enhance the generation of recommendations based on attribute vectors.

Latest Patents

Carmen holds a patent titled "Methods and apparatus to generate recommendations based on attribute vectors." This patent describes a system that includes an attribute vector aggregator, which forms a resultant attribute vector from an input set of attribute vectors. These vectors can represent various attributes, such as media, attendees, artists, events, or venues. The recommendation generator within the system features a vector comparator that compares input attribute vectors with others, and a recommendation compiler that creates recommendations based on these comparisons.

Career Highlights

Carmen is currently employed at Gracenote, Inc., where she applies her expertise in developing advanced recommendation technologies. Her work has been instrumental in improving user experiences through personalized recommendations in various media contexts.

Collaborations

Carmen collaborates with talented individuals such as Aneesh Vartakavi and Anjana Gopakumar. These partnerships enhance the innovative environment at Gracenote, fostering creativity and technological advancement.

Conclusion

Carmen Yaiza Rancel Gil is a pioneering inventor whose work in recommendation systems is shaping the future of personalized media experiences. Her contributions through her patent and collaborations highlight her significant role in the field.