Prosecution Insights
Last updated: October 04, 2026
Application No. 18/890,638

JOB ONTOLOGY GENERATION AND MAINTAINING SYSTEM AND METHOD

Non-Final OA §101
Filed
Sep 19, 2024
Priority
Sep 20, 2023 — IN 202341063054
Examiner
WALSH, EMMETT K
Art Unit
3628
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Demand Science Group LLC
OA Round
3 (Non-Final)
53%
Grant Probability
Moderate
3-4
OA Rounds
1y 1m
Est. Remaining
73%
With Interview

Examiner Intelligence

Grants 53% of resolved cases
53%
Career Allowance Rate
248 granted / 471 resolved
+0.7% vs TC avg
Strong +20% interview lift
Without
With
+20.3%
Interview Lift
resolved cases with interview
Typical timeline
3y 2m
Avg Prosecution
58 currently pending
Career history
517
Total Applications
across all art units

Statute-Specific Performance

§101
35.2%
-4.8% vs TC avg
§103
42.8%
+2.8% vs TC avg
§102
8.4%
-31.6% vs TC avg
§112
11.3%
-28.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 471 resolved cases

Office Action

§101
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 08/13/2026 has been entered. Status of Claims This action is responsive to Applicant’s claims filed 08/13/2026. Claims 1-24 are currently pending and have been examined here. Claims 1 and 13 have been amended. Response to Arguments Applicant's arguments, see pages 7-12 of Applicant’s response filed 08/13/2026, with respect to the 35 U.S.C. 101 have been fully considered but they are not persuasive. Applicant argues, on page 7-9, that the claims bring forth an improvement to the technical field of B2B jobs and job ontology creating by using job attributes and multiple machine learning models to discover and generate job ontologies that are not otherwise available, and using a skill extract aspect using an SVM and NN that result in better precision to identify skill mentions in pieces of content. Examiner respectfully disagrees. Examiner respectfully notes that the creation of a job ontology and the extraction of skills recite abstract ideas, as outlined below. Furthermore, regarding the use of multiple machine learning models, the SVM, and the neural network, the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning. Furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using machine learning since the claims merely invoke machine learning as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of machine learning without indicating how the solution is actually achieved, and since each of these models are recited at a high level of generality. Since the claims merely require that one or more abstract ideas be applied using machine learning techniques recited at a high level of generality and used in their ordinary capacity, the addition of said machine learning does not amount to a technical improvement, and Applicant’s argument are unpersuasive. Applicant argues, on pages 10-11, that Examiner improperly characterized elements as well-understood, routine, and conventional without providing requisite factual support. Examiner respectfully disagrees. Examiner respectfully notes that no elements below have been characterized as extra-solution activity. Therefore, the requirement to provide factual support for a finding that such elements are well-understood, routine, and conventional is not triggered. Furthermore, Examiner has not characterized elements as well-understood, routine, and conventional below. Applicant’s arguments are therefore unpersuasive. Applicant argues, on pages 11-12, that the claims recite significantly more than the abstract idea in a manner similar to those in BASCOM. Examiner respectfully disagrees. Examiner respectfully notes that no such non-generic arrangement of physical components is recited here. Rather, the claims merely recite one or more abstract ideas along with the requirement to implement them on a set of generic computer components and “apply” them using machine learning techniques. Applicant’s arguments are therefore unpersuasive. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-24 are rejected under 35 U.S.C. § 101. The claims are drawn to ineligible patent subject matter, because the claims are directed to a recited judicial exception to patentability (an abstract idea), without claiming something significantly more than the judicial exception itself. Claims are ineligible for patent protection if they are drawn to subject matter which is not within one of the four statutory categories, or, if the subject matter claimed does fall into one of the four statutory categories, the claims are ineligible if they recite a judicial exception, are directed to that judicial exception, and do not recite additional elements which amount to significantly more than the judicial exception itself. Alice Corp. v. CLS Bank Int'l, 375 U.S. ___ (2014). Accordingly, claims are first analyzed to determine whether they fall into one of the four statutory categories of patent eligible subject matter. Then, if the claims fall within one of the four statutory categories, it must be determined whether the claims are directed to a judicial exception to patentability (i.e., a law of nature, a natural phenomenon, or an abstract idea). In determining whether a claim is directed to a judicial exception, the claim is first analyzed to determine whether the claim recites a judicial exception. If the claim does not recite one of these exceptions, the claim is directed to patent eligible subject matter under 35 U.S.C. 101. If the claim recites one of these exceptions, the claim is then analyzed to determine whether the claim recites additional elements that integrate the exception into a practical application of that exception. Claims which integrate the exception into a practical application of that exception are directed to patent eligible subject matter under 35 U.S.C. 101. If the claim fails to integrate the exception into a practical application of that exception, the claim is directed to an abstract idea. Finally, if the claims are directed to a judicial exception to patentability, the claims are then analyzed determine whether the claims are directed to patent eligible subject matter by reciting meaningful limitations which transform the judicial exception into something significantly more than the judicial exception itself. If they do not, the claims are not directed towards eligible subject matter under 35 U.S.C. § 101. Regarding independent claims 1 and 13 the claims are directed to one of the four statutory categories (a machine, a process, and an article of manufacture, respectively.) The claimed invention of independent claims 1 and 13 is directed to a judicial exception to patentability, an abstract idea. The claims include limitations which recite elements which can be properly characterized under at least one of the following groupings of subject matter recognized as abstract ideas by MPEP 2106.04(a): Mathematical Concepts: mathematical relationships, mathematical formulas or equations, and mathematical calculations; Certain methods of organizing human activity: fundamental economic principles or practices (including hedging, insurance, mitigating risk); commercial or legal interactions (including agreements in the form of contracts; legal obligations; advertising, marketing or sales activities or behaviors; business relations); managing personal behavior or relationships or interactions between people (including social activities, teaching, and following rules or instructions); and Mental processes: concepts performed in the human mind (including an observation, evaluation, judgment, opinion) Claims 1 and 13, as a whole, recite the following limitations: receiving. . . a plurality of pieces of content; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could receive this information; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) recognizing. . . if a candidate for a job title is present in each piece of B2B content to generate a set of recognized job title candidates; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could recognize whether a candidate for a job title is present in B2B content; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) classifying. . . a job title for each of the set of recognized job title candidates to generate at least one job title; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could classify a job title to generate a job title; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) identifying. . . using. . . a first portion of documents from a job portal each having a skills mention and a second portion of documents that do not have a skills mention, one or more pieces of B2B content from the plurality of pieces of B2B content, that have a skill mention in the piece of B2B content. . . ; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could identify B2B content in these types of documents ; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) classifying. . . a skill from the one or more pieces of B2B content that have a skills mention; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could classify skills; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) assigning. . . an occupation to the at least one job title and the skill; (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could assign an occupation to a job title; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) and generating. . . a B2B job ontology including the job title, the skill, and the assigned occupation. (claims 1, 13; the broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could generate a job ontology in this manner; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers) The above elements, as a whole, recite mental processes since, but for the requirement to implement these steps in the field of use of machine learning and using a set of generic computer components, the entirety of the above steps could be performed by a human using their mind, pen and paper, and simple observation, evaluation, and judgment. Furthermore, the above elements, as a whole, recite certain methods of organizing human activity in the form of business relations and marketing or sales activities since the steps outlined above for generating a job ontology would be performed by job search and job matching companies performing services for their customers and by those looking to match prospective employees with employers. Moving forward, the above recited abstract idea is not integrated into a practical application. The added limitations do not represent an integration of the abstract idea into a practical application because: the claims represent mere instructions to implement an abstract idea on a computer, and merely use a computer as a tool to perform an abstract idea. See MPEP 2106.05(f). the claims merely add insignificant extra-solution activity to the judicial exception (activity which can be characterized as incidental to the primary purpose or product that is merely a nominal or tangential addition to the claim). See MPEP 2106.05(g) and/or the claims represent mere general linking of the use of the judicial exception to a particular technological environment or field of use. See MPEP 2016.05(h) Beyond those limitations which recite the abstract idea, the following limitations are added: . . . at a computer system. . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere instructions to implement the abstract idea on a generic computer used as a tool in its ordinary capacity; alternatively, the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to a particular computer environment or field of use) . . . by a job title machine learning recognizer of the computer system. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using machine learning since the claims merely invoke machine learning as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of machine learning without indicating how the solution is actually achieved) . . . by a machine learning skill extractor of the computer system. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using machine learning since the claims merely invoke machine learning as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of machine learning without indicating how the solution is actually achieved) . . . using a support vector machine and a neural network using a training data set including. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using an SVM and neural network since the claims merely invoke these models as a tool in its ordinary capacity to perform the existing function of identifying information, and, since the claim merely recites the idea of a solution or outcome of the use of SVM and NN without indicating how the solution is actually achieved) . . . by a machine learning skills classifier of the computer system trained using the training data set. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using machine learning since the claims merely invoke machine learning as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of machine learning without indicating how the solution is actually achieved) . . . using a support vector machine and a neural network. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using an svm and neural network since the claims merely invoke these elements as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of an svm and neural network without indicating how the solution is actually achieved) . . . wherein the machine learning skills classifier, the machine learning skills extractor, the job title machine learning classifier and the job title machine learning recognizer are each different machine learning models. . . (claims 1, 13; the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of machine learning; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using machine learning since the claims merely invoke machine learning as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of machine learning without indicating how the solution is actually achieved) A system, comprising: (claim 13; the broadest reasonable interpretation of this limitation represents mere instructions to implement the abstract idea on a generic computer used as a tool in its ordinary capacity; alternatively, the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to a particular computer environment or field of use) a computer system having a processor and memory and a plurality of instructions that configure to processor to: (claim 13; the broadest reasonable interpretation of this limitation represents mere instructions to implement the abstract idea on a generic computer used as a tool in its ordinary capacity; alternatively, the broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to a particular computer environment or field of use) The claims, as a whole, are directed to the abstract idea(s) which they recite. The claim limitations do not present improvements to another technological field, nor do they improve the functioning of a computer or another technology. Nor do the claim limitations apply the judicial exception with, or by use of a particular machine. The claims do not effect a transformation or reduction of a particular article to a different state or thing. See MPEP 2106.05(c). None of the hardware in the claims "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment' that is, implementation via computers” such that the claim as a whole is more than a drafting effort designed to monopolize the exception. See MPEP 2106.05(e); Alice Corp. v. CLS Bank Int’l (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). Therefore, because the claims recite a judicial exception (an abstract idea) and do not integrate the judicial exception into a practical application, the claims, as a whole, are directed to the judicial exception. Turning to the final prong of the test (Step 2B), independent claims 1 and 13 do not include additional elements that are sufficient to amount to significantly more than the judicial exception, because there are no meaningful limitations which transform the exception into a patent eligible application. As outlined above, the claim limitations do not present improvements to another technological field, nor do they improve the functioning of a computer or another technology. Nor do the claim limitations apply the judicial exception with, or by use of a particular machine. The claims do not effect a transformation or reduction of a particular article to a different state or thing. See MPEP 2106.05(c). None of the hardware in the claims "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment' that is, implementation via computers” such that the claim as a whole is more than a drafting effort designed to monopolize the exception. See MPEP 2106.05(e); Alice Corp. v. CLS Bank Int’l (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). Furthermore, no specific limitations are added which represent something other than what is well-understood, routine, and conventional activity in the field. See MPEP 2106.05(d). Besides performing the abstract idea itself, the generic computer components only serve to perform the court-recognized well-understood computer functions of receiving or transmitting data over a network, performing repetitive calculations, electronic record keeping, and storing and retrieving information in memory. See MPEP 2106.05(d). Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. Their collective functions merely provide conventional computer implementation. The specification details any combination of a generic computer system program to perform the method. Generically recited computer elements do not add a meaningful limitation to the abstract idea because they would be routine in any computer implementation and because the Alice decision noted that generic structures that merely apply the abstract ideas are not significantly more than the abstract ideas. Therefore, independent claims 1 and 13 are rejected under 35 U.S.C. §101 as being directed to ineligible subject matter. Claims 2-12 and 14-24, recite the same abstract idea as their respective independent claims. The following additional features are added in the dependent claims: Claims 2 and 14: maintaining the job ontology by adding a new job title into the job ontology. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could maintain a job ontology by adding a new job title to it; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. Claims 3 and 15: wherein adding the new job title into the job ontology further comprises classifying, using the job title machine learning classifier of the computer system, the new job title, comparing, the new job title with the plurality of job titles in the job ontology and updating the job ontology with the new job title when the new job title is not similar to one of the job titles already contained in the job ontology. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could classify a new job title, compare it to those in an ontology, and add it if it is not similar thereto; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. Please see analysis above regarding the implementation of this step using a machine learning classifier. Claims 4 and 16: wherein recognizing if the job title candidate is present further comprises using a jobspanBERT model to generate the set of recognized job title candidates. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of a jobspanBERT model; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using a jobspanBERT model since the claims merely invoke a jobspanBERT model as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of a jobspanBERT model without indicating how the solution is actually achieved Claims 5 and 17: wherein classifying the job title further comprises using a neural network that receives input from the jobspanBERT model. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of a neural network and jobspanBERT model; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using a neural network and jobspanBERT model since the claims merely invoke a neural network and jobspanBERT model as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of a neural network and jobspanBERT model without indicating how the solution is actually achieved Claims 6 and 18: wherein extracting one or more candidate skills further comprises extracting the one or more candidate skills using the support vector machine classifier that identifies the skill mentions int eh pieces of content and a RoBERTa model to identify each skill mentioned in the pieces of content. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of an SVM and a RoBERTa model; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using an SVM and a RoBERTa model since the claims merely invoke an SVM and a RoBERTa model as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of an SVM and a RoBERTa model without indicating how the solution is actually achieved Claims 7 and 19: wherein classifying the skill further comprises classifying the skill using a fuzzy skill classifier. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of a fuzzy skill classifier; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using a fuzzy skill classifier since the claims merely invoke a fuzzy skill classifier as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of a fuzzy skill classifier without indicating how the solution is actually achieved Claims 8 and 20: wherein classifying the skill further comprises scoring the skill to generate a skill score, determining a softness of the skill to generate a skill softness and determining a skill source tag. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could score a skill, determine a skill softness, and determine a skill source tag; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. Claims 9 and 21: wherein classifying the skill further comprises generating a fuzzy skill dictionary to store, for each skill, the skill, the skill score, the skill softness, a skill type and a skill source tag. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could generate a fuzzy skill dictionary to store this information; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of a fuzzy skill dictionary; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using a fuzzy skill dictionary since the claims merely invoke a fuzzy skill dictionary as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of a fuzzy skill dictionary without indicating how the solution is actually achieved Claims 10 and 22: further comprising assigning a job title to the skill using a k nearest neighbor process. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could assign a job title to a skill using k-nearest neighbors; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of k-nearest neighbors; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using k-nearest neighbors since the claims merely invoke k-nearest neighbors as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of k-nearest neighbors without indicating how the solution is actually achieved Claims 11 and 23: wherein assigning the occupation to the job title and the skill further comprises using a k nearest neighbor process with semantic similarity. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could assign an occupation to a job title and skill using a k-nearest neighbor with semantic similarity; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. The broadest reasonable interpretation of this limitation represents mere general linking of the abstract idea to the particular computer environment or field of use of k-nearest neighbors; furthermore, the broadest reasonable interpretation of this limitation merely amounts to the requirement to “apply” the abstract idea using k-nearest neighbors since the claims merely invoke k-nearest neighbors as a tool in its ordinary capacity to perform its functions, and, since the claim merely recites the idea of a solution or outcome of the use of k-nearest neighbors without indicating how the solution is actually achieved Claims 12 and 24: further comprising preprocessing the plurality of pieces of content into a set of chunks before recognizing if a job title is present. The broadest reasonable interpretation of this limitation recites mental processes since a human using their mind, pen and paper, and simple observation, evaluation, and judgment could preprocess information into chunks in this manner; alternatively, the broadest reasonable interpretation of this limitation recites certain methods of organizing human activity in the form of commercial interactions such as business relations and sales activities since commercial job search and job matching companies would perform this step in performing services for their customers and this step would further be performed by those looking to match prospective employees with employers. The above limitations do not represent a practical application of the recited abstract idea. The claim limitations do not present improvements to another technological field, nor do they improve the functioning of a computer or another technology. Nor do the claim limitations apply the judicial exception with, or by use of a particular machine. The claims do not effect a transformation or reduction of a particular article to a different state or thing. See MPEP 2106.05(c). None of the hardware in the claims "offers a meaningful limitation beyond generally linking 'the use of the [method] to a particular technological environment' that is, implementation via computers” such that the claim as a whole is more than a drafting effort designed to monopolize the exception. See MPEP 2106.05(e); Alice Corp. v. CLS Bank Int’l (citing Bilski v. Kappos, 561 U.S. 610, 611 (U.S. 2010)). Therefore, because the claims recite a judicial exception (an abstract idea) and do not integrate the judicial exception into a practical application, the claims are also directed to the judicial exception. Furthermore, the added limitations do not direct the claim to significantly more than the abstract idea. No specific limitations are added which represent something other than what is well-understood, routine, and conventional activity in the field. See MPEP 2106.05(d). Accordingly, none of the dependent claims 2-12 and 14-24, individually, or as an ordered combination, are directed to patent eligible subject matter under 35 U.S.C. 101. Please see MPEP §2106.05(d)(II) for a discussion of elements that the Courts have recognized as well-understood, routine, conventional, activity in particular fields. Please see MPEP §2106 for examination guidelines regarding patent subject matter eligibility. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to EMMETT K WALSH whose telephone number is (571)272-2624. The examiner can normally be reached Mon.-Fri. 6 a.m. - 4:45 p.m.. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Jessica Lemieux can be reached at 571-270-3445. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /EMMETT K. WALSH/Primary Examiner, Art Unit 3628
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Prosecution Timeline

Show 2 earlier events
Mar 06, 2026
Interview Requested
Mar 17, 2026
Applicant Interview (Telephonic)
Mar 17, 2026
Examiner Interview Summary
May 04, 2026
Response Filed
May 14, 2026
Final Rejection mailed — §101
Aug 13, 2026
Request for Continued Examination
Aug 17, 2026
Response after Non-Final Action
Aug 24, 2026
Non-Final Rejection mailed — §101 (current)

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2y 10m to grant Granted Aug 11, 2026
Patent 12670463
ENHANCED DELIVERY MANAGEMENT METHODS, APPARATUS, AND SYSTEMS FOR A SHIPPED ITEM USING A MOBILE NODE-ENABLED LOGISTICS RECEPTACLE
5y 8m to grant Granted Jun 30, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
53%
Grant Probability
73%
With Interview (+20.3%)
3y 2m (~1y 1m remaining)
Median Time to Grant
High
PTA Risk
Based on 471 resolved cases by this examiner. Grant probability derived from career allowance rate.

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