Patent value predictor The valuation method can also be The Predicted Art Unit feature on LexisNexis PatentOptimizer works with LexisNexis PathWaysTM to estimate the relative cost and length of time to obtain a patent in addition to its chances of success. Current risk assessment tools like the Risk of Paradoxical Embolism (RoPE) scoring system and PFO-Associated Stroke Causal Likelihood (PASCAL) system have limitations, particularly in elderly populations. Since technological innovation is the fundamental means to enhance the sustainable competitiveness of Dec 24, 2019 · This article applies a deep learning analytical method for automatic and intelligent patent value estimation. g. However, most empirical research uses only the number of claims as an indicator of patent value. The other, more sophisticated, claim characteristics did not show predictive power for patent value. However, predicting patent application outcome is a difficult task that requires the understanding of both deep domain knowledge and In this paper, we propose a data mining approach that utilizes the structural properties of patent citations networks to predict the value of patents while aiming to improve timeliness and accuracy. Tailor your tactics based on examiner analytics. The stock selection criteria based on the patent predictive PB were further discussed. This study aims to explore risk factors for PFO-related Jun 26, 2024 · An accurate prediction of patent renewal life is crucial as patent life is not only an indicator of patent value, quality, etc. Additionally, the article evaluates the performance of the explored value predictor across a wide range of workloads. Up Daily PTAB Litigation Examiner Patents ISIX - Best Law Firms OPEN - Standards Submissions PVIX - Patent Value Reexam News News & Views RPI Open COVID Pledge Insights Webinar About May 1, 2023 · Patents have been increasingly used as an instrument to study innovation strategies and financial performance of firms recently. Patent Determine Patent Value - 4 Intellectual Property Methods - 3 quantitative and 1 qualitative method used to determine the value or worth of a patent. The model offers an alternative to the more extensive investigations that are often used […] Sep 27, 2022 · The proposed prediction model is essential in directing R&D studies to the right technology areas and transferring the incentives to patent applications with a high quality rate. However, most empirical research uses only the number of claims as an indicator of patent valu In this video, we walk you through a basic use case of our Portfolio Value IndeX (PVIX). Patent renewal for at least 6 years is sufficient to predict an accurate probability of commercialization. ter international coverage for their more valuable patents. Jun 26, 2024 · In almost every country, patents need to be renewed multiple times after they are granted. However, How much is a patent worth? is a question that can be very difficult to answer, and can result in multi-million-dollar litigation decisions, or patent applications being abandoned before they even issue. Among various context of technology transfer, it is especially important to predict patent transactions in such fast-changing industries. Patent transfer prediction can identify potentially convertible patents, allowing for the prioritization of resource allocation and thereby promoting the conversion and application of patents. The invention provides new and valuable information that can be used by patent valuation experts, investment advisors, economists and others Feb 12, 2017 · By devising a point process based patent citation type aware (self-citation and non-self-citation) prediction model which incorporates the various information of a patent, we open up the possibility for performing predictive patent valuation which can be especially useful for newly granted patents with emerging technology. Jul 24, 2019 · 05/07/2024 Patent litigation prediction is a complex and critically important task in the field of intellectual property management. Mar 30, 2022 · The "Patent cost simulator" feature helps you calculate and anticipate the costs associated with a patent family. Then, deep neural networks (DNN) for value prediction are modeled and trained using the training set. Aspects also include receiving a second instruction and based on a determination that the second instruction is predicted to be a return instruction with a predicted return address table index value from the branch-target-buffer, using the index value to select the return address to predict as the target address. When patent financing institutions provide loans, they first need to consider various patent indicators to estimate their value. Sowadsky, patent filed March 1996, inv Dec 27, 2021 · Patent value can be analyzed using many of the same techniques for valuing companies, as well as several techniques specific to patents. Sep 1, 2020 · For this reason, numerous prediction approaches for patent quality rely on statistical models to predict future counts of forward citations as a quantitative proxy for patent value or evaluate patent grade in terms of counts of forward citations (Lee et al. Predict where your application will land before it is filed. The three major approaches to patent valuation are cost, income, and market approach, each consisting of eight methods. 16 hours ago · Predictive Analytics: Machine learning models can predict the likelihood of disputes by analyzing historical litigation, licensing outcomes, and patent ownership networks. ML techniques have gained particular prominence by utilizing patent bibliometric data, market data, and other available financial records to model patent value and predict 1 high-value patents. The valuation method can also be A regularized artificial neural network based patent value interval prediction model is proposed that uses regularized artificial neural networks to give prediction intervals and prediction uncertainty, and validate the model with a measure of numerical intervals. Think of it as "branch prediction but for values"™. Feb 6, 2023 · Then use multiple machine learning models to predict patent value proxied by patent transfers. Existing automated patent transformation prediction models do not predict the transformation time, causing invalid conclusions for these valid Aug 15, 2009 · Patents, which bestow a right to exclude others from making, using and selling an invention, are a form of intellectual property. By computing patent values based on stock price reactions to the announcement of patent issuance, this paper finds that, on average, green patents have higher values than non-green patents in the pooled sample. Discover a patent valuation methodology for calculating a patent portfolio's contribution to the company’s overall value. More specifically , embodiments may perform value value prediction table control circuit 120 may control access prediction for only a small subset of instructions that feed to information within value prediction table 110 and may data into instructions of certain types . Firstly, 10 indicators are Aug 21, 2025 · Introduction: Patent foramen ovale (PFO) is associated with cryptogenic stroke (CS), whereas not all PFO carriers experience strokes. Since technological innovation is the fundamental means to enhance the sustainable competitiveness of . As a result Jun 1, 2021 · Patent valuation and market value prediction, being an innovative research where content, bibliographic details of the patents are analyzed with certain human made protocols to analyze the quality of patent applications, this analysis is further used to add market value and solved as regression problems; Oct 1, 2024 · This paper employs the green technology classification published by the Japan Patent Office to estimate the values of green and non-green innovations. These techniques may include calculating the value of a patent based on associations between In this study, we conduct topic modeling of patent text information using the LDA, a probabilistic methodology. Jun 1, 2025 · While the lifespan of patents is widely regarded as a key indicator for assessing their economic value, its utility in patent valuation is significantly constrained, as it can only be accurately measured at the time of patent expiration. Enter the relevant market inputs, costs, and performance data into the calculator to determine the potential value of a patent. This paper aims to address the research gap of building an accurate model for predicting the renewal life (often Search and read the full text of patents from around the world with Google Patents, and find prior art in our index of non-patent literature. find the aggregate number of backward citations is positively correlated with patent value. Current practice in patent valuations are reviewed as is relevant literature gathered from a number of fields including accounting methods, discounted cashflow (DCF), related decision tree analysis (DTA) methods, and econometric methods based on renewal and stock market data. Sowadsky, patent filed March 1996, inv Jun 30, 2024 · With the increasing competition in intellectual property rights, patent value prediction has become a hot research issue in the field of intellectual property rights. Presenting this set of slides with name Patent Value Predictor Model Ppt Powerpoint Presentation Gallery Portrait Cpb. Then use multiple machine learning models to predict patent value proxied by patent transfers. However, since ordinary regression analysis methods use time series data as the objective variable, it was common to apply the survival time analysis such as the Cox proportional hazards model (CPH) for patent term prediction Jun 1, 2024 · Patents contribute to economic development; therefore, estimations of patent value are significant in measuring their impact on the economy. Dec 14, 2023 · The Patent Value Predictor Model employs statistical and machine learning techniques to analyze various patent characteristics and predict their potential market value. , 2018; Mariani et al. Use our Art Unit Predictor to steer your patent application away from difficult art units, such as business method art units. This allows companies to have a better understanding of how much their patent can deliver for them. 62 Given the expected willingness to invest in thorough prior art Oct 1, 2024 · Finally, we utilize the optimal predictive model to forecast technology convergnece, employing high-value patent analysis and patent text similarity calculations to select suitable patent combinations. (2022) discuss the derivative value of patents in the stock market. Background: PDA is viewed as a noticeable amongst the most widely recognized congenital heart defects in children and its closure is responsible for many hemodynamic changes that require intervention and Apr 25, 2024 · The implementation of patents requires financing. This study aims to enhance technology innovation management in the field of biomedical textiles by processing complex biomedical patent information to improve the accuracy of predicting patent values. May 1, 2023 · The high-value patent identification (HVPI) and the standard-essential patent identification (SEPI) are two important issues in the fields of intellectual property and the standardization, respectively. Jun 1, 2021 · The patent prediction equations for quantitatively predicting the price-to-book ratio (PB) by patent indicators were constructed via Granger Causality test and time series regression. 61 In support of that point, Harhoff et al. The ability to accurately forecast the likelihood of a patent being involve Foreign Oppositions 01/26/2022 Unified Patents’ Portal now include foreign opposition data with access to the dockets. Patent Bots offers AI-powered tools for patent attorneys to improve quality, impress clients, and boost profits with automated proofreading, drafting automation, and more. This paper aims to address the research gap of building an accurate model for predicting the renewal life (often Apr 22, 2025 · Given a patent, patent transfer prediction evaluates the likelihood of transitions in patent ownership. Oct 14, 2024 · Therefore, it is particularly important to predict patents with high value and strong impact from the numerous and uneven-quality patents. Mar 15, 2023 · Drug patents are different. Up Daily PTAB Litigation Examiner Patents ISIX - Best Law Firms OPEN - Standards Submissions PVIX - Patent Value Reexam News News & Views RPI Open COVID Pledge Insights Webinar About Apr 26, 2024 · It’s important to identify high-quality patents from massive data quickly and accurately for organizational R&D decision-making and patent layout. (2020a) propose a probabilistic graph based method to predict patent value. Although research using machine learning for patent analysis has been actively conducted [5–8], most of this research is limited to technology classification, tech-nology prediction, and patent quality analysis. This integration is based on the potential semantic correlations between the technical components embedded in patents, thereby providing robust technical support for optimizing technology innovation management. What follows is a basic primer on using Discounted Cash Flow (DCF) analysis Jan 27, 2025 · Focus on ideas with a higher probability of enterprise value. Aug 4, 2025 · A patent valuation calculator helps determine the true value of your patents, aiding in investment, licensing, and strategic decisions. The Predicted Art Unit results show the following: Art Unit - is the art unit pulled from your application Art Unit Number - the number of the Art Unit Allowance Rate - the percentage that this Mar 4, 2024 · Evaluation of high value patents is essential for the enterprise’s technical layout and innovative product design. O. Jun 1, 2025 · The proposed framework advances patent valuation research by demonstrating how interpretable, data-driven methods can improve the prediction of valuable patents in policy-intensive technology sectors. PatentPI, also known as Patt, is a specialized AI designed to provide detailed patent valuations and market analyses. , but can also be utilized for the estimation of various technology transfer rates, and identification of determinants of patent life. The model offers an alternative to the more extensive investigations that are often used […] The distillation column flooding predictor is a patented, pattern-recognition technology that predicts liquid and jet flooding in the petroleum-refining process. Moreover, the predictive power of claim length is likely to differ between the complex technology and discrete technology areas,1 since the value of a pioneer patent Apr 1, 2014 · The valuation of patents is an important, albeit challenging task. When machine learning is used, a quantitative evaluation based on a large volume of data is possible, and evaluation can be conducted quickly and inexpensively, contributing to the activation of patent transactions. A patent value grading prediction method based on a fusion of machine learning models is proposed, utilizing Jun 1, 2025 · These data-driven methods leverage bibliometric and other qualitative features, offering robust and scalable frameworks for assessing patent value. By devising a point process based patent citation type aware (self-citation and non-self-citation) prediction model which incorporates the various information of a patent, we open up the possibility for performing predictive patent valuation which can be especially useful for newly granted patents with emerging technology. Jul 1, 2021 · To discover the paths toward the realization of patent value, a Bayesian neural network based value-path prediction model has been proposed (Liu, Qiao, & Liu, 2021). Feb 27, 2025 · Explore effective methods to assess patent value and gain insights for strategic success. In this paper, we propose an approach to evaluate the business potential of individual patents by applying a machine learning algorithm to predict the likelihood Dec 1, 2024 · We use machine learning methods to predict which patents end up in court using the population of US patents granted between 2002 and 2005. , 2017 and (ii) forward citations. Significantly, evidence suggests a growing worldwide trend in applications for patents, trademarks, and industrial designs. Principal component analysis (PCA) is used to identify significant patent value indicators from the given patent dataset. Hence, a small predictor structure maintains sufficient information for performing value prediction for the small fraction of operations (the missing instances of read operations) that account for nearly all of the access latency performance degradation. However, due to patent The claim of a patent defines the scope of patent right and provides crucial information on patent value. In this paper, we propose an approach to evaluate the business potential of individual patents by applying a machine learning algorithm to predict the likelihood ared predicting patent value and clearly isolates the worst and best applications. We show that patent characteristics have significant predictive power, particularly value indicators and patent-owner characteristics. And a prediction model for the patent pledge financing amount for pharmaceutical enterprises is constructed for the first time using the analytic This study complements the limitations of the market approach using machine learning and an event study methodology. , citations) or the intrinsic value of patents, but there is relatively little work on predicting the actual value of patents. , 2018; Falk and Train, 2017). Apr 20, 2024 · Studies on renewal of patents (Thomas, 1999) abound from the economics, legal perspective where this variable has been explored in terms of pattern, as a predictor of patent value and quality or to study its correlation with patent commercialization. When patent financing institutions provide loans, they first need to consider various patent indica-tors to estimate their value. Jan 1, 2003 · This paper contributes to an understanding which impacts certain patent characteristics have on the value of patent rights. Predicting it can therefore be used as an indicator of corporate management. Value Prediction in a Nutshell Value Prediction (VP) is a microarchitectural technique that speculatively breaks true data dependency to increase instruction level parallelism in out-of-order processor cores. PATENT VALUE AND THE TOBIN’S Q RATIO IN MEDIA SERVICES Patents represent valuable corporate resources which can reflect an inventive organiza- main competitive by list the technologies which inventors ha order to be granted a particular patent. Extant research to identify patent value indicators has so far relied on expert est… Nov 30, 2019 · The system calculates a PatentAdvisor ETA value for each USPTO patent examiner. This paper uses deep learning and natural language processing (NLP) methods on the US patent corpus to evaluate their predictive power in estimating two measures of patent value: (i) investor reaction to patent announcements as measured in Kogan et Dec 1, 2021 · Due to global pressures for socio-technological and economic development, the significance of intellectual property (IP) continues to increase albeit uncertainties surrounding the creation, measurement, protection, and exploitation of IP processes [1]. Nov 1, 2024 · Abstract Patent transformation is a pivotal pathway for realizing technological advancements, and patent transformation prediction is a potential strategy for improving the patent transformation rate. The four predictors are the Last Value Predictor (LVP) which captures loads that encounter very few values, the Stride Address Predictor (SAP) which Jul 1, 2020 · Because most patent holders are likely to retain their patents only when the profits created are larger than the maintenance fee, the patent lifetime has been used as a proxy of a patent’s business potential in a patent evaluation. May 1, 2023 · Patents have been increasingly used as an instrument to study innovation strategies and financial performance of firms recently. Jun 1, 2024 · Patent term is considered one of the factors that determine the private value of a patent. Jun 30, 2024 · With the increasing competition in intellectual property rights, patent value prediction has become a hot research issue in the field of intellectual property rights. The claim of a patent defines the scope of patent right and provides crucial information on patent value. The value created by patents arises, in part, from the or- ational learning which their patent Patent holders and other organizations strive to estimate a patent's current and potential value. Dec 29, 2023 · From the perspective of the MIV absolute value and the total proportion of every single indicator, the four indicators including the number of patent IPC4 classification, the speed of first citation, the number of claims, and the frequency of patent citations have a more significant influence on the results of high-value patents prediction. Value Prediction was proposed to speculatively break true data dependencies, thereby allowing Out of Order (OOO) processors to achieve higher instruction level parallelism (ILP) and gain performance. In an exploratory study, 127 individual patents from a semiconductor company were evaluated comprehensively by technical and marketing representatives. To improve their quality ex ante, regulators can use predictive models. These models enable a revision of the contemporary Kogan, Papanikolaou, Seru, and Stoffman (2017) valuation of patents by a Dec 1, 2024 · We use machine learning methods to predict which patents end up in court using the population of US patents granted between 2002 and 2005. However, results from the matched We assigned 0 (zero) if the interviewee thought the indicator had no predicting ability in determining patent value, 1 (one) if a mild ability to predict value was understood and 2 (two) if the Patent valuation involves determining the value of intangible assets like patents using specific methods or approaches. Read the article to enhance your intellectual property knowledge. We use machine learning-based ensemble models to evaluate the marketable value of patents based on their textual information. The factors that characterize the value of a patent is subjective. Subsequently, the loan amount is determined based on the assessed value of the patents. While this strategy may provide some indication of a patent's value, patent holders continually strive to enhance the accuracy of such estimations. This paper uses deep learning and natural language processing (NLP) methods on the US patent corpus to evaluate their predictive power in estimating two measures of patent value: (i) investor reaction to patent announcements as measured in Kogan et Patent valuation involves determining the value of intangible assets like patents using specific methods or approaches. In this paper, we unify the HVPI and the SEPI in a multi-task learning framework in consideration of the mutual Feb 20, 2024 · The implementation of patents requires financing. The system identifies patterns of transient tower instabilities, which have been discovered to precede tray flooding. Welcome to PatentPI, your go-to for precise patent valuations. State-of-the-art value predictors try to maximize the number of instructions that can be value predicted, with the belief that a higher coverage will unlock more ILP and increase performance Nov 17, 2020 · Abstract This paper uses deep learning and natural language processing (NLP) methods on the US patent corpus to evaluate their predictive power in estimating two measures of patent value: (i) investor reaction to patent announcements as measured in Kogan et al. Techniques for calculating patent value and predicting patent potential are described herein. This closed-loop system duplicates the thinking of an expert operator or engineer in tower operation and can detect a Sep 27, 2022 · The proposed prediction model is essential in directing R&D studies to the right technology areas and transferring the incentives to patent applications with a high quality rate. Apr 1, 2024 · To quantify the predictive power of firms’ early technological and economic value, we study a set of classification problems where we use information on firms’ early patents to predict whether firms will subsequently be among the top-5% by two dimensions of future research success: the technological value of the firm’s late technological Jul 1, 2025 · Consequently, this work proposes a design space exploration framework for the state-of-the-art EVES value predictor, aiming to efficiently configure the design parameters of the value predictor within constrained RAM resources. We expect that the claim length is negatively correlated with the breadth of the patent’s scope, and therefore, the patent value. In the past, the estimation of patent value relied on rough data statistics and subjective judgments of patent financing By devising a point process based patent citation type aware (self-citation and non-self-citation) prediction model which incorporates the various information of a patent, we open up the possibility for performing predictive patent valuation which can be especially useful for newly granted patents with emerging technology. Jun 4, 2020 · Abstract Financing by patent pledge is an important way for small- and medium-sized pharmaceutical enterprises to address financing problems. While a program is executing the processor is used to train predictors in order to predict load values. The paper presents a novel way to test the ability of market size-weighted patent families to predict patent value, and compares the Initially, my goal was to create a model which would predict the value of a given patent, by building a regression model around ground-truth values which were obtained from this paper. The higher the number of elements limiting the scope of the patent right, the longer the claim. Get better outcomes for your clients! Sep 1, 2021 · Firms with IP departments are associated with higher value patented inventions. Oct 1, 2024 · This paper employs the green technology classification published by the Japan Patent Office to estimate the values of green and non-green innovations. To calculate such value, these patent holders may make estimations based on subjective perceptions of the market, products, and technology. In this study, eight indexes are analyzed considering both the pledge patent value and pledger credit value. These models enable a revision of the contemporary Kogan, Papanikolaou, Seru, and Stoffman (2017) valuation of patents by a Patent holders and other organizations strive to estimate a patent's current and potential value. At the end of the day a business should be able to assign an approximate worth to its patent portfolio. Nov 1, 2024 · Semantic Scholar extracted view of "Patent transformation prediction: When a patent can be transformed" by Weidong Liu et al. Aug 21, 2025 · Predictive value of patent foramen ovale diameter for cryptogenic stroke and age-related differences A statistical patent rating method and system is provided for independently assessing the relative breadth (“B”), defensibility (“D”) and commercial relevance (“R”) of individual patent assets and other intangible intellectual property assets. The proposed May 1, 2022 · Liu et al. ared predicting patent value and clearly isolates the worst and best applications. Therefore, this study aims to suggest a predictive model for patent transaction considering a wide range of A method and apparatus for predicting instruction load values in a processor. This is an editable Powerpoint six stages graphic that deals with topics like Patent Value Predictor Model to help convey your message better graphically. Feb 6, 2023 · This paper selects and designs variables of the knowledge network embeddedness to represent the association between focal patents’ knowledge and the prior domain knowledge from the knowledge recombination perspective. A patent value grading prediction method based on a fusion of machine learning models is proposed, utilizing 113,428 Determine Patent Value - 4 Intellectual Property Methods - 3 quantitative and 1 qualitative method used to determine the value or worth of a patent. We show that the breadth of a claim of Japanese patents, measured by the inverse of claim length, has significant explanatory power for patent value measured by applicant forward citations Nov 22, 2007 · Intellectual Property Rights (IPRs) are viewed as being of increasing importance in many fields of business. Jun 1, 2021 · In order to better structure the entirety of patent applications and granted paten ts, the patent offices classify newly filed patent applications based on the field of in vention. In this paper, we propose a data mining approach that utilizes the structural properties of patent citations networks to predict the value of patents while aiming to improve timeliness and accuracy. This study provides one of the first systematic and direct assessments of the value of China's inventions and examines the strategic factors influencing their value, using patents granted to firms by the China National Intellectual Property Administration (CNIPA). Feb 10, 2022 · How do you estimate the economic value of a patent? V. For instance Mar 4, 2024 · Evaluation of high value patents is essential for the enterprise’s technical layout and innovative product design. Track your patent Patent Bots offers AI-powered tools for patent attorneys to improve quality, impress clients, and boost profits with automated proofreading, drafting automation, and more. With this in mind, this article discusses estimations of patent value with the renewal model developed by several economists. Addressing this limitation necessitates proactively predicting the expected patent lifespan and thoroughly analyzing the complex relationships among various Sep 13, 2021 · Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. Early prediction of patent application success can help firms make better decisions about their investment and innovation strategies. Widigen and E. Almost all the HVPI and the SEPI are based on the single-task learning. The analysis of this rare data shows that for patents used as “bargaining chips”, novelty and inventive activity are Sep 17, 2023 · With millions of patents generated annually across diverse domains, the integration of machine learning techniques offers a transformative solution to the challenges posed by data overload. However, results from the matched May 1, 2023 · The high-value patent identification (HVPI) and the standard-essential patent identification (SEPI) are two important issues in the fields of intellec… Described is a computing apparatus (800) for value prediction in concurrent instruction execution (406), the computing apparatus (800) being configured to: obtain a load value (511) of an executed instruction (101); enter at least part (601) of the load value (511) into a training table (503); and in dependence on the load value (605) having a training table confidence level (602) above a This research aims to develop a sophisticated method for precisely predicting high-value patents by integrating a technology component network with patent metric features. While forward citations have traditionally been used as measures of economic value in the literature Jun 1, 2025 · These data-driven methods leverage bibliometric and other qualitative features, offering robust and scalable frameworks for assessing patent value. In particular 4 differing kinds of predictors are trained. However, predicting patent application outcome is a difficult task that requires the understanding of both deep domain knowledge and Abstract This paper constructs a patent value assessment model for colleges and universities from two perspectives of: value identification and price prediction. The feasibility of this method is tested with sample patents in the neural network field. A patentee assesses the value of the patent and then pays a renewal fee to keep it active for another stipulated period. Patent owners can assess the value of their patents by considering similar transactions or projecting future cash flows. In addition, the study examines patent values Sep 18, 2019 · Objective: To identify the predictor factors of left ventricular (LV) dysfunction following patent ductus arteriosus (PDA) surgical ligation. It was proposed in the 90's by four independent groups : AMD (Nexgen): L. The existing research on the patent value needs the support of a large number of professional statistical information and is difficult to directly reflect the technical value. These insights guide strategic decisions on design changes, licensing, or risk mitigation. The most surprising finding was that the length of independent claims could not predict patent value, although this was strongly expected by patent attorneys. To illustrate this point, consider the following two hypothetical situations. Targeted patents are those issued in the United States and Japan from 1990 to 2010. In the past, the estimation of patent value relied on rough data statistics and subjective judgments of patent financing The missing value is imputed for each of the one or more predictor variables using the data from the one or more data sources and one or more built imputation models to generate a completed data set. Oct 14, 2020 · Technology transfer becomes imperative in recent business environment where technology changes rapidly and its complexity becomes sophisticated. Liu, Yang, Cao et al. Jun 9, 2021 · Among the patent value indicators, both the length of patent renewal and the size of the patent family indicate that a patent has been commercialized. Most of the current research on patent value either predicts some structural indicators (e. Unified's PVIX applies published empirical studies in order to rank the value of patent families and portfolios. As a result, you cannot simply evaluate the value of a patent once you know the financials relating to certain products that the patent covers. Abstract Patent value prediction is essential for technology innovation management. Patent Apr 24, 2025 · Patent value prediction is essential for technology innovation management. Few studies have used machine learning for pat-ent valuation Jul 20, 2022 · The literature is consistent with this belief, noting that patents with more backward citations (which should occur due to a thorough prior art search) are expected to have greater value. Patent Cost Simulator Based on a selected extension scenario and your cost model, this calculator allows you to have a cumu Jun 22, 2023 · predict patent value and application acceptance? Second, how can existing models regarding patent value be supplemented and improved using Large Language Mod el (LLM) technology? That is, Oct 14, 2020 · Technology transfer becomes imperative in recent business environment where technology changes rapidly and its complexity becomes sophisticated. Based on several patent statistics, the PatentAdvisor ETA can be used to predict how patent prosecution will play out. Jan 1, 2025 · To improve the performance of the patent prediction model learned for the low-transfer countries, we propose a transfer learning based patent transfer prediction model, for which the high-transfer countries are the source domain and the low-transfer countries are the target domain. has developed a model that arrives at an estimation based on various factors. Jun 22, 2023 · This study implements machine learning models to predict patent examination outcomes based on early information disclosed at patent publication and interpret the mechanism of how these models make predictions, highlighting the key determinants to patent grant and delineating the relationships between the patent features and the examination outcome.