Prosecution Insights
Last updated: April 19, 2026
Application No. 18/846,883

TRAINING METHOD AND APPARATUS FOR CONTENT DETECTION MODEL, AND CONTENT DETECTION METHOD AND APPARATUS

Final Rejection §101
Filed
Sep 13, 2024
Examiner
SPIELER, WILLIAM
Art Unit
2159
Tech Center
2100 — Computer Architecture & Software
Assignee
BEIJING YOUZHUJU NETWORK TECHNOLOGY CO., LTD.
OA Round
2 (Final)
74%
Grant Probability
Favorable
3-4
OA Rounds
2y 11m
To Grant
84%
With Interview

Examiner Intelligence

Grants 74% — above average
74%
Career Allow Rate
688 granted / 932 resolved
+18.8% vs TC avg
Moderate +10% lift
Without
With
+9.7%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
30 currently pending
Career history
962
Total Applications
across all art units

Statute-Specific Performance

§101
22.8%
-17.2% vs TC avg
§103
30.7%
-9.3% vs TC avg
§102
18.5%
-21.5% vs TC avg
§112
16.5%
-23.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 932 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 . Response to Arguments Applicant’s remarks filed 17 September 2025 have been fully considered but are not persuasive. Applicant argues that the training method improves technology because it is an operation on a machine learning model. Examiner respectfully disagrees. That a machine learning model is trained is not an improvement to technology. See Recentive Analytics, Inc. v. Fox. Corp., 134 F.4th 1205, 1212 (Fed. Cir. 2025). The application of generic machine learning to new data environments does not improve technology. See id. at 1216. The disclosure does not purport to improve machine learning but rather apply generic mathematical machine learning techniques to identify advertisements relevant to a user. Specification [0005]. Claim Interpretation Under a broadest reasonable interpretation, the content detection model is a generic vector-based machine learning model, and training is generic training in a machine learning context. 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 1-5, 7-11, 14-15, 17-20, and 22-23 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. As per claims 1, 14, and 15: The claim(s) recites an abstract idea. The limitation, “wherein at least one category of content feature of first multimedia data is extracted, each category of content feature of the first multimedia data is clustered, to obtain a plurality of cluster centers of each category of content feature,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “extracting,” “clustering,” and “obtaining,” encompasses a person forming a judgment as to a representation of the data, e.g., that given data belongs in a particular cluster, and that the cluster has a particular center. This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). The limitation, “extracting at least one category of content feature of second multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “extracting” encompasses a person forming a judgment as to, e.g., a representation of the second multimedia data. This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). The limitation, “comparing each category of content feature of the second multimedia data with respective cluster centers of a corresponding category of content feature, to obtain a cluster center to which each category of content feature of the second multimedia data belongs,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “comparing” and “obtaining” encompasses a person forming a judgment as to, e.g., what cluster the second multimedia data belongs in, and what the corresponding center of that cluster is. This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). The limitation, “obtaining a content feature vector of the second multimedia data based on the cluster center to which each category of content feature of the second multimedia data belongs,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person forming a judgment as to, e.g., a representation of the second multimedia data based on the cluster center (e.g., by using the center as the representation). This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). The limitation, “obtaining a user feature vector of a user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person forming a judgment as to, e.g., a representation of the user account. This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). The limitation, “using the content feature vector of the second multimedia data, the user feature vector of the user account, and a label of a behavior category of the user account for the second multimedia data to output a prediction result of a behavior category of a target user account for target multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers a mathematical calculation, and covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “predicting” encompasses a person forming a judgment as to, e.g., whether the target user will like an advertisement. This limitation therefore falls within the “Mathematical Concepts” and “Mental Processes” groupings of abstract ideas. MPEP §§ 2106.04(a)(2)(I), 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely predicting a behavior category of a target user account for target multimedia data. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “training the content detection model using the content feature vector of the second multimedia data, the user feature vector of the user account, and a label of a behavior category of the user account for the second multimedia data, wherein the content detection model is used to output a prediction result of a behavior category of a target user account for target multimedia data,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). The additional element, “wherein the content detection model comprises a first cross-feature extraction module and a connection module,” is directed to a technological environment. MPEP § 2106.05(h). The additional element, “inputting the content feature vector of the second multimedia data and the user feature vector of the user account into the first cross-feature extraction module, to cause the first cross-feature extraction module to extract a cross-feature from the content feature vector of the second multimedia data and the user feature vector of the user account, to obtain a first feature vector,” is mere instruction to apply the mathematical calculation or mental process of obtaining a first feature vector using machine learning as a tool. MPEP § 2106.05(f). The additional element, “inputting the content feature vector of the second multimedia data and the user feature vector of the user account into the connection module, to cause the connection module to connect the content feature vector of the second multimedia data and the user feature vector of the user account, to obtain a second feature vector,” is mere instruction to apply the mathematical calculation or mental process of obtaining a second feature vector using machine learning as a tool. MPEP § 2106.05(f). The additional element, “training the content detection model using the first feature vector, the second feature vector, and the label of the behavior category of the user account for the second multimedia data,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). As an ordered combination, the invention merely links the mental process of predicting a behavior category of a target user account for target multimedia data to the technological environment of machine learning. MPEP § 2106.05(h); see Recentive Analytics, Inc. v. Fox. Corp., 134 F.4th 1205, 1213 (Fed. Cir. 2025) (“the only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment”). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 2 and 17: The claim(s) recites an abstract idea. The limitation, “obtaining an initial content feature vector corresponding to the cluster center to which each category of content feature of the second multimedia data belongs,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person forming a judgment as to the content of the cluster center vector. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “determining the initial content feature vector corresponding to the cluster center to which each category of content feature of the second multimedia data belongs as the content feature vector of the second multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “determining” encompasses a person forming a judgment to use the cluster center vector as the content feature vector. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely obtaining a content feature vector of the second multimedia data based on the cluster center to which each category of content feature of the second multimedia data belongs. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). As the claim(s) recites no additional elements, the abstract idea is not integrated into a practical application, the claim is directed to the abstract idea, and the claim(s) does not amount to significantly more than the abstract idea. MPEP § 2106.07. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 3 and 18: The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “adjusting the content feature vector of the second multimedia data during a process of training the content detection model,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f); see Recentive Analytics, slip op. at 12. The additional element, “re-determining the adjusted content feature vector corresponding to the cluster center to which each category of content feature belongs as the initial content feature vector corresponding to the cluster center to which the category of content feature belongs,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f); see Recentive Analytics, slip op. at 12. The additional element, “after the training of the content detection model, obtaining content feature vectors corresponding respectively to the plurality of cluster centers of each category of content feature,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f); see Recentive Analytics, slip op. at 12. As an ordered combination, the invention merely links the mental process of predicting a behavior category of a target user account for target multimedia data to the technological environment of machine learning. MPEP § 2106.05(h); see Recentive Analytics, slip op. at 13 (“the only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment”). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 4 and 19: The claim(s) recites an abstract idea. The limitation, “calculating content feature vectors corresponding respectively to the plurality of cluster centers of each category of content feature based on each category of content feature,” as drafted, recites a calculation. This limitation therefore falls within the “Mathematical Concepts” grouping of abstract ideas. MPEP § 2106.04(a)(2)(I). The limitation, “determining a content feature vector corresponding to the cluster center to which each category of content feature of the second multimedia data belongs as the content feature vector of the second multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “determining” encompasses a person forming a judgment to use a particular calculated content feature vector. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely obtaining the content feature vector of the second multimedia data based on the cluster center to which each category of content feature of the second multimedia data belongs. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). As the claim(s) recites no additional elements, the abstract idea is not integrated into a practical application, the claim is directed to the abstract idea, and the claim(s) does not amount to significantly more than the abstract idea. MPEP § 2106.07. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 5 and 20: The claim(s) recites an abstract idea. The limitation, “collecting user information of the user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “collecting” encompasses a person observing information about the user account and forming a judgment as to what is relevant to a prediction. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “generating a first user feature of the user account based on the user information of the user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “generating” encompasses a person forming a judgment as to what information makes up the user feature. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “obtaining a second user feature of the user account obtained by pre-training,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person observing information about the user account. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “using the first user feature of the user account and the second user feature of the user account as the user feature vector of the user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “using” encompasses a person observing information as to the content of the vector. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely obtaining the user feature vector of the user account. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). As the claim(s) recites no additional elements, the abstract idea is not integrated into a practical application, the claim is directed to the abstract idea, and the claim(s) does not amount to significantly more than the abstract idea. MPEP § 2106.07. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 7 and 22: The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “wherein the content detection model comprises a second cross-feature extraction module, a third cross-feature extraction module, and a connection module,” is directed to a technological environment. MPEP § 2106.05(h). The additional element, “inputting the content feature vector of the second multimedia data and the first user feature into the second cross-feature extraction module, to cause the second cross-feature extraction module to extract a cross-feature from the content feature vector of the second multimedia data and the first user feature, to obtain a third feature vector,” is mere instruction to apply the mental process of obtaining a third feature vector using machine learning as a tool. MPEP § 2106.05(f). The additional element, “inputting the content feature vector of the second multimedia data and the second user feature into the third cross-feature extraction module, to cause the third cross-feature extraction module to extract a cross-feature from the content feature vector of the second multimedia data and the second user feature, to obtain a fourth feature vector,” is mere instruction to apply the mental process of obtaining a fourth feature vector using machine learning as a tool. MPEP § 2106.05(f). The additional element, “inputting the content feature vector of the second multimedia data, the first user feature, and the second user feature into the connection module, to cause the connection module to connect the content feature vector of the second multimedia data, the first user feature, and the second user feature, to obtain a fifth feature vector,” is mere instruction to apply the mental process of obtaining a fifth feature vector using machine learning as a tool. MPEP § 2106.05(f). The additional element, “training the content detection model using the third feature vector, the fourth feature vector, the fifth feature vector, and the label of the behavior category of the user account for the second multimedia data,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). As an ordered combination, the invention merely links the mental process of predicting a behavior category of a target user account for target multimedia data to the technological environment of machine learning. MPEP § 2106.05(h); see Recentive Analytics, Inc. v. Fox. Corp., 134 F.4th 1205, 1213 (Fed. Cir. 2025) (“the only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment”). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claims 8 and 23: The claim(s) recites an abstract idea. The limitation, “extracting at least one category of content feature of target multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “extracting” encompasses a person forming a judgment as to, e.g., a representation of the second multimedia data. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “comparing each category of content feature of the target multimedia data with respective cluster centers of a corresponding category of content feature, to obtain a cluster center to which each category of content feature of the target multimedia data belongs,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “comparing” and “obtaining” encompasses a person forming a judgment as to, e.g., what cluster the second multimedia data belongs in, and what the corresponding center of that cluster is. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “obtaining a content feature vector of the target multimedia data based on the cluster center to which each category of content feature of the target multimedia data belongs,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person forming a judgment as to, e.g., a representation of the second multimedia data based on the cluster center (e.g., by using the center as the representation). This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “obtaining a user feature vector corresponding to a target user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person forming a judgment as to, e.g., a representation of the user account. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “obtain a prediction result of a behavior category of the target user account for the target multimedia data,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “predicting” encompasses a person forming a judgment as to, e.g., whether the target user will like an advertisement. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely predicting a behavior category of a target user account for target multimedia data. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “inputting the content feature vector of the target multimedia data and the user feature vector of the target user account into a content detection model, to obtain a prediction result of a behavior category of the target user account for the target multimedia data, wherein the content detection model is trained by the training method for the content detection model according to claim 1,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). As an ordered combination, the invention merely links the mental process of predicting a behavior category of a target user account for target multimedia data to the technological environment of machine learning. MPEP § 2106.05(h); see Recentive Analytics, Inc. v. Fox. Corp., 134 F.4th 1205, 1213 (Fed. Cir. 2025) (“the only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment”). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claim 9: The claim(s) recites an abstract idea. The limitation, “calculating an evaluation result of content detection for the target multimedia data based on the prediction result of the behavior category of the target user account for the target multimedia data,” as drafted, recites a calculation. This limitation therefore falls within the “Mathematical Concepts” grouping of abstract ideas. MPEP § 2106.04(a)(2)(I). Accordingly, the claim(s) recites an abstract idea. MPEP § 2106.04(a). As the claim(s) recites no additional elements, the abstract idea is not integrated into a practical application, the claim is directed to the abstract idea, and the claim(s) does not amount to significantly more than the abstract idea. MPEP § 2106.07. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claim 10: The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “wherein the method further comprises before obtaining the user feature vector corresponding to the target user account: inputting the content feature vector of the target multimedia data into a user account recall model, to obtain a target user account corresponding to the target multimedia data; wherein the user account recall model is trained based on a content feature vector of third multimedia data, a user feature vector of a user account, and a label of a behavior category of the user account for the third multimedia data,” is mere instruction to apply the mental process of obtaining a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. As per claim 11: The claim(s) recites an abstract idea. The limitation, “collecting user information of the target user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “collecting” encompasses a person observing information about the user account and forming a judgment as to what is relevant to a prediction. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “generating a first user feature of the target user account based on the user information of the target user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “generating” encompasses a person forming a judgment as to what information makes up the user feature. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “obtaining a second user feature of the target user account obtained by pre-training,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “obtaining” encompasses a person observing information about the user account. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The limitation, “using the first user feature of the target user account and the second user feature of the target user account as the user feature vector of the target user account,” as drafted, is a process that, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components. For example, in the context of this limitation, “using” encompasses a person observing information as to the content of the vector. This limitation therefore falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). Accordingly, the claim(s) recites abstract ideas. MPEP § 2106.04(a). These abstract ideas can be considered together as a single abstract idea, namely obtaining the user feature vector corresponding to the target user account. MPEP § 2106.04(II)(B). This falls within the “Mental Processes” grouping of abstract ideas. MPEP § 2106.04(a)(2)(III). The abstract idea of predicting a behavior category of a target user account for target multimedia data is not integrated into a practical application. The additional element, “wherein the inputting the content feature vector of the target multimedia data and the user feature vector of the target user account into the content detection model to obtain the prediction result of the behavior category of the target user account for the target multimedia data comprises: inputting the content feature vector of the target multimedia data, the first user feature of the target user account, and the second user feature of the target user account into the content detection model, to obtain the prediction result of the behavior category of the target user account for the target multimedia data,” is mere instruction to apply the mental process of predicting a behavior category of a target user account for target multimedia data using machine learning as a tool. MPEP § 2106.05(f). As an ordered combination, the invention merely links the mental process of predicting a behavior category of a target user account for target multimedia data to the technological environment of machine learning. MPEP § 2106.05(h); see Recentive Analytics, Inc. v. Fox. Corp., 134 F.4th 1205, 1213 (Fed. Cir. 2025) (“the only thing the claims disclose about the use of machine learning is that machine learning is used in a new environment”). Accordingly, the additional elements, individually or in combination, do not integrate the abstract idea into a practical application, even viewing the claim(s) as a whole, and therefore the claim is directed to an abstract idea. MPEP § 2106.04(d). As discussed above with respect to integration of the abstract idea into a practical application, the conclusions for the additional elements being generic computer components and mere instructions to apply on a computer, insignificant extra-solution activity, and/or mere field of use limitations are carried over and these additional elements do not provide significantly more than the abstract idea. MPEP § 2106.05(II). Accordingly, the claim(s) does not recite additional elements, either individually or in combination, that amount to significantly more than the abstract idea. MPEP § 2106.05. Therefore, as the claim(s) is directed to an abstract idea and does not recite additional elements that amount to significantly more than the abstract idea, the claim(s) is not patentable. MPEP § 2106. Allowable Subject Matter The prior art does not teach the particular data being used in machine learning models. As per claim 10, the prior art does not teach the claimed user account recall model being used to, for a given target multimedia data, identify a user based on the multimedia data, then identify a behavior category of the multimedia data for the user. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to WILLIAM SPIELER whose telephone number is (571)270-3883. The examiner can normally be reached Monday-Friday, 11-3. 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, Ann Lo can be reached at 571-272-9767. 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. WILLIAM SPIELER Primary Examiner Art Unit 2159 /WILLIAM SPIELER/Primary Examiner, Art Unit 2159
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Prosecution Timeline

Sep 13, 2024
Application Filed
Sep 13, 2024
Response after Non-Final Action
Jun 15, 2025
Non-Final Rejection — §101
Sep 17, 2025
Response Filed
Jan 14, 2026
Final Rejection — §101 (current)

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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
74%
Grant Probability
84%
With Interview (+9.7%)
2y 11m
Median Time to Grant
Moderate
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