DETAILED ACTION
This action is in response to the filing of 8-22-2024. Claims 1-20 are pending and have been considered below:
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Claims 1, 17 and 20 rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. The claims recite “as well as” language regarding the determining step, however the order/linkage of determination between the sample embedding and global embedding is not clear.
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 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more.
Step 1: Claims 1-20 represent method, system and medium type claims. Therefore claims 1-10 are directed to either a process, machine, manufacture or composition of matter.
Regarding claims 1, 17 and 20:
2A Prong 1:
determining first matching degrees between the positive sample embedding vector and the first global embedding vector as well as the second global embedding vector, and determining second matching degrees between the negative sample embedding vector and the first global embedding vector as well as the second global embedding vector;
determining a loss value based on the first matching degrees and the second matching degrees, and adjusting a parameter of the first network embedding model based on the loss value;
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion-determining matching and loss can be mentally performed).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing node feature extraction on the data network graph and a negative sample network graph using a first network embedding model, to obtain a positive sample embedding vector and a negative sample embedding vector, the data network graph being a positive sample network graph and being an imbalanced network graph constructed based on an imbalanced object dataset;
performing node feature extraction on a first enhanced graph and a second enhanced graph of the data network graph using the first network embedding model, to obtain a first global embedding vector and a second global embedding vector;
and performing node feature extraction on the data network graph based on an adjusted first network embedding model, to obtain an embedding vector configured for classifying a node in the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing node feature extraction on the data network graph and a negative sample network graph using a first network embedding model, to obtain a positive sample embedding vector and a negative sample embedding vector, the data network graph being a positive sample network graph and being an imbalanced network graph constructed based on an imbalanced object dataset;
performing node feature extraction on a first enhanced graph and a second enhanced graph of the data network graph using the first network embedding model, to obtain a first global embedding vector and a second global embedding vector;
and performing node feature extraction on the data network graph based on an adjusted first network embedding model, to obtain an embedding vector configured for classifying a node in the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claims 2 and 18:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing first data enhancement on the data network graph, to obtain the first enhanced graph; and performing second data enhancement on the data network graph, to obtain the second enhanced graph, the first data enhancement and the second data enhancement being respectively at least one of feature masking, edge perturbation, or sub-graph extraction.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing first data enhancement on the data network graph, to obtain the first enhanced graph; and performing second data enhancement on the data network graph, to obtain the second enhanced graph, the first data enhancement and the second data enhancement being respectively at least one of feature masking, edge perturbation, or sub-graph extraction.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claims 3 and 19:
2A Prong 1:
selecting a sampling node in the data network graph, performing gradual diffusion sampling with a first sampling node as a center point, and placing a neighboring node sampled each time into a first sampling set during the gradual diffusion sampling; and when a quantity of nodes in the first sampling set reaches a target value, stopping the sampling, to obtain the first enhanced graph;
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion- selection can be mentally performed).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
and performing the second data enhancement on the data network graph, to obtain the second enhanced graph comprises: performing feature masking on the data network graph, to obtain the second enhanced graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
and performing the second data enhancement on the data network graph, to obtain the second enhanced graph comprises: performing feature masking on the data network graph, to obtain the second enhanced graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 4:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing out-of-order processing on a feature corresponding to each node in the data network graph, to obtain the negative sample network graph, a node structure of the negative sample network graph being consistent with a node structure of the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing out-of-order processing on a feature corresponding to each node in the data network graph, to obtain the negative sample network graph, a node structure of the negative sample network graph being consistent with a node structure of the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 5:
2A Prong 1:
obtaining the object dataset and an association relationship between each piece of object data in the object dataset; and constructing the data network graph using each piece of object data in the object dataset as a node and using the association relationship as an edge of the node.
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion).
2A Prong 2: This judicial exception is not integrated into a practical application.
No Additional elements:
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
No Additional elements:
Regarding claim 6:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
extracting a first local embedding vector and a second local embedding vector of each node from the first enhanced graph and the second enhanced graph respectively using the first network embedding model; and performing pooling on the first local embedding vector and the second local embedding vector respectively, to obtain the first global embedding vector and the second global embedding vector.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
extracting a first local embedding vector and a second local embedding vector of each node from the first enhanced graph and the second enhanced graph respectively using the first network embedding model; and performing pooling on the first local embedding vector and the second local embedding vector respectively, to obtain the first global embedding vector and the second global embedding vector.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 7:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a first adjacency matrix and a first feature matrix of nodes in the first enhanced graph; inputting the first adjacency matrix and the first feature matrix into the first network embedding model, to cause the first network embedding model to generate the first local embedding vector of each node in the first enhanced graph based on the first adjacency matrix, a degree matrix of the first adjacency matrix, the first feature matrix, and a weight matrix of the first network embedding model; and obtaining a second adjacency matrix and a second feature matrix of nodes in the second enhanced graph; and inputting the second adjacency matrix and the second feature matrix into the first network embedding model, to cause the first network embedding model to generate the second local embedding vector of each node in the second enhanced graph based on the second adjacency matrix, a degree matrix of the second adjacency matrix, the second feature matrix, and the weight matrix of the first network embedding model.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a first adjacency matrix and a first feature matrix of nodes in the first enhanced graph; inputting the first adjacency matrix and the first feature matrix into the first network embedding model, to cause the first network embedding model to generate the first local embedding vector of each node in the first enhanced graph based on the first adjacency matrix, a degree matrix of the first adjacency matrix, the first feature matrix, and a weight matrix of the first network embedding model; and obtaining a second adjacency matrix and a second feature matrix of nodes in the second enhanced graph; and inputting the second adjacency matrix and the second feature matrix into the first network embedding model, to cause the first network embedding model to generate the second local embedding vector of each node in the second enhanced graph based on the second adjacency matrix, a degree matrix of the second adjacency matrix, the second feature matrix, and the weight matrix of the first network embedding model.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 8:
2A Prong 1:
classifying the embedding vector using a classifier, to obtain a prediction result;
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing parameter adjustment on the classifier based on a loss value between the prediction result and a classification label; and stopping a training process when an adjusted classifier reaches a convergence condition.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing parameter adjustment on the classifier based on a loss value between the prediction result and a classification label; and stopping a training process when an adjusted classifier reaches a convergence condition.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 9:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a document citation relationship graph; extracting a first embedding vector of the document citation relationship graph using the first network embedding model; and classifying the first embedding vector using the classifier, to obtain a subject or field of each document.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a document citation relationship graph; extracting a first embedding vector of the document citation relationship graph using the first network embedding model; and classifying the first embedding vector using the classifier, to obtain a subject or field of each document.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 10:
2A Prong 1:
and recommending target media to a media account corresponding to the object node based on the interest type.
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a media interaction graph; extracting a second embedding feature of the media interaction graph using the first network embedding model; classifying the second embedding feature using the classifier, to obtain an interest type corresponding to an object node;
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a media interaction graph; extracting a second embedding feature of the media interaction graph using the first network embedding model; classifying the second embedding feature using the classifier, to obtain an interest type corresponding to an object node;
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 11:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a social relationship graph; extracting a third embedding feature of the social relationship graph using the first network embedding model; classifying the third embedding feature using the classifier, to obtain a communication group in which a social object is interested; and pushing the communication group in which the social object is interested to the social object.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a social relationship graph; extracting a third embedding feature of the social relationship graph using the first network embedding model; classifying the third embedding feature using the classifier, to obtain a communication group in which a social object is interested; and pushing the communication group in which the social object is interested to the social object.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 12:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing node feature extraction on the data network graph using a second network embedding model, and reconstructing a target adjacency matrix based on an extracted node feature; adjusting a parameter of the second network embedding model based on a loss value between the target adjacency matrix and a matrix label; obtaining, when an adjusted second network embedding model reaches a convergence condition, structural information of each node in the data network graph using the adjusted second network embedding model; and using a spliced vector between the embedding vector and the structural information as a target embedding vector configured for classifying each node in the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing node feature extraction on the data network graph using a second network embedding model, and reconstructing a target adjacency matrix based on an extracted node feature; adjusting a parameter of the second network embedding model based on a loss value between the target adjacency matrix and a matrix label; obtaining, when an adjusted second network embedding model reaches a convergence condition, structural information of each node in the data network graph using the adjusted second network embedding model; and using a spliced vector between the embedding vector and the structural information as a target embedding vector configured for classifying each node in the data network graph.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 13:
2A Prong 1:
classifying the target embedding vector using a classifier, to obtain a prediction result;
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
performing parameter adjustment on the classifier based on a loss value between the prediction result and a classification label; and stopping a training process when an adjusted classifier reaches the convergence condition.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
performing parameter adjustment on the classifier based on a loss value between the prediction result and a classification label; and stopping a training process when an adjusted classifier reaches the convergence condition.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 14:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a document citation relationship graph; extracting a first embedding vector of the document citation relationship graph using the first network embedding model; extracting first structure data of the document citation relationship graph using the second network embedding model; and classifying, using the classifier, the target embedding vector obtained by splicing the first embedding vector and the first structure data, to obtain a subject or field of each document.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a document citation relationship graph; extracting a first embedding vector of the document citation relationship graph using the first network embedding model; extracting first structure data of the document citation relationship graph using the second network embedding model; and classifying, using the classifier, the target embedding vector obtained by splicing the first embedding vector and the first structure data, to obtain a subject or field of each document.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 15:
2A Prong 1:
and recommending target media to a media account corresponding to the object node based on the interest type.
As drafted, under the broadest reasonable interpretation, the claim covers mental processes (concepts performed in the human mind (including an observation, evaluation, judgment, opinion).
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a media interaction graph; extracting a second embedding feature of the media interaction graph using the first network embedding model; extracting second structure data of the media interaction graph using the second network embedding model; classifying, using the classifier, the target embedding vector obtained by splicing the second embedding feature and the second structure data, to obtain an interest type corresponding to an object node;
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a media interaction graph; extracting a second embedding feature of the media interaction graph using the first network embedding model; extracting second structure data of the media interaction graph using the second network embedding model; classifying, using the classifier, the target embedding vector obtained by splicing the second embedding feature and the second structure data, to obtain an interest type corresponding to an object node;
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Regarding claim 16:
2A Prong 1:
No abstract idea
2A Prong 2: This judicial exception is not integrated into a practical application.
Additional elements:
obtaining a social relationship graph; extracting a third embedding feature of the social relationship graph using the first network embedding model; extracting third structure data of the social relationship graph using the second network embedding model; classifying, using the classifier, the target embedding vector obtained by splicing the third embedding feature and the third structure data, to obtain a communication group in which a social object is interested; and pushing the communication group in which the social object is interested to the social object.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
2B: The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception.
Additional elements:
obtaining a social relationship graph; extracting a third embedding feature of the social relationship graph using the first network embedding model; extracting third structure data of the social relationship graph using the second network embedding model; classifying, using the classifier, the target embedding vector obtained by splicing the third embedding feature and the third structure data, to obtain a communication group in which a social object is interested; and pushing the communication group in which the social object is interested to the social object.
(Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f)).
Claim Objections
Claims 1-20 are allowable over the prior art however are rejected under 35 USC § 112 and 35 USC § 101.
Conclusion
The prior art made of record and not relied upon is considered pertinent to Applicant’s disclosure:
20210216746 A1
Applicant is required under 37 C.F.R. § 1.111(c) to consider these references fully when responding to this action.
It is noted that any citation to specific pages, columns, lines, or figures in the prior art references and any interpretation of the references should not be considered to be limiting in any way. A reference is relevant for all it contains and may be relied upon for all that it would have reasonably suggested to one having ordinary skill in the art. In re Heck, 699 F.2d 1331, 1332-33, 216 U.S.P.Q. 1038, 1039 (Fed. Cir. 1983) (quoting In re Lemelson, 397 F.2d 1006, 1009, 158 U.S.P.Q. 275, 277 (C.C.P.A. 1968)).
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Any inquiry concerning this communication or earlier communications from the examiner should be directed to SHERROD KEATON whose telephone number is 571-270-1697. The examiner can normally be reached 9:30am to 5:00pm.
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/SHERROD L KEATON/ Primary Examiner, Art Unit 2148
9-10-2026
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