# US 2023/0410221 A1 · Information processing apparatus, control method, and program > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0410221 A1 - Document ID: US20230410221A1 - Status: Published application - Kind: A1 - Application number: 18/240,160 - Filed: 2023-08-30 - Published: 2023-12-21 - Earliest claimed: 2020-09-29 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Masahiro TANI; Kazufumi KOJIMA - Web page: https://patentgrep.com/patent/US20230410221A1 ## CPC - G06V 10/758: {Involving statistics of pixels or of feature values, e.g. histogram matching} - G06F 16/55: Clustering; Classification - G06F 16/9536: Search customisation based on social or collaborative filtering - G06F 18/22: Matching criteria, e.g. proximity measures - G06Q 10/42: Determination of affinities or common interests between users - G06Q 50/00: Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism (healthcare informatics G16H) - G10L 17/26: Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices - G10L 17/00: Speaker identification or verification techniques - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING ## Abstract An information processing apparatus (2000) determines whether a content (30-1) of a relevant account (20-1) associated with a target account (10-1) and a content (30-2) of a relevant account (20-2) associated with a target account (10-2) are similar. When the content (30-1) and the content (30-2) are similar, the information processing apparatus (2000) executes predetermined processing related to the target account (10-1) and the target account (10-2). ## Claims ### Claim 1 An information processing apparatus, comprising: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to perform operations, the operations comprising: determining, for a first relevant account associated with a first target account and a plurality of relevant accounts associated with a plurality of target accounts other than the first relevant account, whether the first content data associated with the first relevant account and a plurality of content data associated with the plurality of relevant accounts are similar, and executing predetermined processing when it is determined that the first content data and the plurality of content data are similar. ### Claim 2 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of an object included in image data associated with the first relevant account and distributions of frequencies of appearance of objects included in image data associated with the plurality of relevant accounts are similar. ### Claim 3 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a word included in text data or voice data associated with the first relevant account and distribution of frequencies of appearance of words included in text data or voice data associated with the plurality of relevant accounts are similar. ### Claim 4 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a speaker extracted from voice data associated with the first relevant account and distributions of frequencies of appearance of speakers extracted from voice data associated with the plurality of relevant accounts are similar. ### Claim 5 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a topic extracted from content data associated with the first relevant account and distributions of frequencies of appearance of topics extracted from content data associated with the plurality of relevant accounts are similar. ### Claim 6 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise, as the predetermined processing, outputting information indicating that there is a high probability that the first target account and the plurality of target accounts are owned by a same person, or information indicating that there is a high probability that an owner of the first target account and an owner of the plurality of target accounts belong to a same group. ### Claim 7 (depends on 2) The information processing apparatus according to claim 2, wherein the operations further comprise, as the predetermined processing, outputting the distributions. ### Claim 8 (depends on 1) The information processing apparatus according to claim 1, wherein the operations further comprise, as the predetermined processing, outputting content data that coincide or are similar among the first content data and the plurality of contents data. ### Claim 9 (depends on 8) The information processing apparatus according to claim 8, wherein the operations further comprise extracting an image region representing a characteristic part of a person included in image data and outputting the extracted image region. ### Claim 10 (depends on 8) The information processing apparatus according to claim 8, wherein the operations further comprise outputting information indicating at least one of a type, a maker, and a number of a number plate of a vehicle included in image data. ### Claim 11 (depends on 8) The information processing apparatus according to claim 8, wherein t the operations further comprise outputting a name or a location of a landmark included in image data. ### Claim 12 A control method executed by a computer, comprising: determining, for a first relevant account associated with a first target account and a plurality of relevant accounts associated with a plurality of target accounts other than the first relevant account, whether the first content data associated with the first relevant account and a plurality of content data associated with the plurality of relevant accounts are similar, and executing predetermined processing when it is determined that the first content data and the plurality of content data are similar. ### Claim 13 (depends on 12) The control method according to claim 12, further comprising determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of an object included in image data associated with the first relevant account and distributions of frequencies of appearance of objects included in image data associated with the plurality of relevant accounts are similar. ### Claim 14 (depends on 12) The control method according to claim 12, further comprising determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a word included in text data or voice data associated with the first relevant account and distribution of frequencies of appearance of words included in text data or voice data associated with the plurality of relevant accounts are similar. ### Claim 15 (depends on 12) The control method according to claim 12, further comprising determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a speaker extracted from voice data associated with the first relevant account and distributions of frequencies of appearance of speakers extracted from voice data associated with the plurality of relevant accounts are similar. ### Claim 16 (depends on 12) The control method according to claim 12, further comprising determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a topic extracted from content data associated with the first relevant account and distributions of frequencies of appearance of topics extracted from content data associated with the plurality of relevant accounts are similar. ### Claim 17 A non-transitory computer-readable medium storing a program for causing a computer to perform operations, the operations comprising: determining, for a first relevant account associated with a first target account and a plurality of relevant accounts associated with a plurality of target accounts other than the first relevant account, whether the first content data associated with the first relevant account and a plurality of content data associated with the plurality of relevant accounts are similar, and executing predetermined processing when it is determined that the first content data and the plurality of content data are similar. ### Claim 18 (depends on 17) The non-transitory computer-readable medium according to claim 17, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of an object included in image data associated with the first relevant account and distributions of frequencies of appearance of objects included in image data associated with the plurality of relevant accounts are similar. ### Claim 19 (depends on 17) The non-transitory computer-readable medium according to claim 17, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a word included in text data or voice data associated with the first relevant account and distribution of frequencies of appearance of words included in text data or voice data associated with the plurality of relevant accounts are similar. ### Claim 20 (depends on 17) The non-transitory computer-readable medium according to claim 17, wherein the operations further comprise determining whether the first content data and the plurality of content data are similar by determining whether a distribution of a frequency of appearance of a speaker extracted from voice data associated with the first relevant account and distributions of frequencies of appearance of speakers extracted from voice data associated with the plurality of relevant accounts are similar.