Pleasanton, CA, United States of America

Lisa Purvis


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2015-2023

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3 patents (USPTO):Explore Patents

Title: Lisa Purvis: Innovator in Software Voting Systems

Introduction

Lisa Purvis is a notable inventor based in Pleasanton, CA (US). She has made significant contributions to the field of software voting and prediction systems. With a total of 3 patents, her work focuses on enhancing the efficiency of preference elicitation among participants.

Latest Patents

One of her latest patents is titled "Scoring members of a set dependent on eliciting preference data amongst subsets selected according to a height-balanced tree." This innovative system iteratively solicits participant preferences between members of a set, utilizing a binary tree to minimize the number of iterations required. As each member is considered, it is pairwise compared with select members represented by nodes already in the binary tree. The process begins at the root node and continues to a leaf node. The newly considered member is placed as a new leaf node, and the tree is height-rebalanced as necessary. Red-black tree coloring and tree rotation rules can be applied for this purpose. Throughout the tree-building process, yes/no preference tallies are maintained for each member, which are ultimately used for scoring. The height-rebalancing of the tree is crucial in minimizing the iterations needed to accurately score each member relative to its alternatives.

Career Highlights

Lisa has worked with Spigit, Inc., where she applied her expertise in software development and innovation. Her contributions have been instrumental in advancing the capabilities of voting systems.

Collaborations

Some of her notable coworkers include Manas Hardas and James Joseph Gardner, who have collaborated with her on various projects.

Conclusion

Lisa Purvis is a pioneering inventor whose work in software voting systems has the potential to transform how preferences are elicited and scored. Her innovative approach continues to influence the field significantly.

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