Unknown Organization (20240211519). SYSTEM AND METHOD FOR QUALITY BASED RANKING OF PATENTS simplified abstract
Contents
SYSTEM AND METHOD FOR QUALITY BASED RANKING OF PATENTS
Organization Name
Inventor(s)
ERICH LAWSON Spangenberg of PARIS (FR)
DANIEL LAWRENCE Bork of EAST KINGSTON NH (US)
BRIAN JOSHUA Berman of LONG ISLAND CITY NY (US)
GEORGE Karypis of BLOOMINGTON MN (US)
SYSTEM AND METHOD FOR QUALITY BASED RANKING OF PATENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211519 titled 'SYSTEM AND METHOD FOR QUALITY BASED RANKING OF PATENTS
The abstract describes qscore as a sophisticated tool for ranking the commercial value of patents based on multiple factors, not just reference graphs.
- Simplified Explanation:*
Qscore is an advanced tool for evaluating the commercial potential of patents by considering various factors beyond just citation graphs.
- Key Features and Innovation:*
- Utilizes data mining and tokenization techniques - Assigns a quality score to each patent - Filters out patents with additional quality characteristics - Aids in identifying valuable patents from a large pool of information
- Potential Applications:*
- Patent valuation - Portfolio management - Investment decision-making
- Problems Solved:*
- Identifying high-value patents - Streamlining patent search results - Enhancing decision-making processes
- Benefits:*
- Improved patent ranking accuracy - Efficient patent portfolio management - Enhanced commercial decision-making
- Commercial Applications:*
Optimizing patent portfolios for maximum commercial value and strategic advantage in the market.
- Prior Art:*
Readers can explore prior art related to patent valuation methods, data mining in patent analysis, and quality scoring in patent evaluation.
- Frequently Updated Research:*
Stay informed about the latest advancements in patent valuation techniques, data mining applications in patent analysis, and quality scoring methodologies.
- Questions about Patent Valuation:*
1. How does qscore differ from traditional patent ranking methods? 2. What are the key factors considered in assigning a quality score to patents?
Original Abstract Submitted
qscore is the most advanced tool available for ranking the potential commercial value of a patent or a portfolio of patents. other ranking methods typically rely heavily on a patent's reference graph (citations to/from other patents). qscore is far more sophisticated: using data mining tokenization techniques, qscore takes into account multiple factors correlated with patent value. this document generally describes the method used to assign a quality score to each patent, which is used to bias the ranking of the results returned from the keyword-based searching in the analytics embodiment of the present invention. this quality score, denoted by qscore, is designed to identify the patents that are not only relevant to the user's query but also possess some additional, query independent, quality characteristics. consequently, qscore can be considered as an information filtering aid—designed to identify the “good” information from a “sea” of information.
