Intellectual Property Evaluation Utilizing Machine Learning

TL;DR

This paper presents a machine learning-based platform for evaluating intellectual property, aiming to improve traditional methods and expand business in the Greater Bay Area.

Contribution

It introduces a novel machine learning approach for IP evaluation and develops an online platform to enhance traditional assessment methods.

Findings

Successful development of an online IP evaluation platform

Plans for business expansion in the Greater Bay Area

Potential improvements over traditional IP valuation methods

Abstract

Intellectual properties is increasingly important in the economic development. To solve the pain points by traditional methods in IP evaluation, we are developing a new technology with machine learning as the core. We have built an online platform and will expand our business in the Greater Bay Area with plans.