# US 2026/0101075 A1 · Method and server for providing content recommendation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0101075 A1 - Document ID: US20260101075A1 - Status: Published application - Kind: A1 - Application number: 19/347,914 - Filed: 2025-10-02 - Published: 2026-04-09 - Earliest claimed: 2024-10-04 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Dosung KIM; Yeongkeun KWON; Hoshin SON - Web page: https://patentgrep.com/patent/US20260101075A1 ## CPC - H04N 21/25891: {being end-user preferences (retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18)} - H04N 21/232: Content retrieval operation {locally} within server, e.g. reading video streams from disk arrays {(storage management G06F3/0604; details of querying and searching of video data from a database G06F16/739)} - H04N 21/233: Processing of audio elementary streams {(monitoring, identification or recognition of audio in broadcast systems H04H60/58)} - H04N 21/234: Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs - H04N 21/23418: {involving operations for analysing video streams, e.g. detecting features or characteristics (television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59)} - H04N 21/25: Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies {(maintenance or administration in data networks H04L41/00)} - H04N 21/258: Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data {(arrangements for services using the result on the distributing side of broadcast systems H04H60/66; profiles in network data switching protocols H04L67/30)} - H04N 21/266: Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel - H04N 21/482: End-user interface for programme selection - H04N 21/488: Data services, e.g. news ticker {(systems specially adapted for using meteorological information in broadcast systems H04H60/71)} - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract Provided is a method of providing, by a server, user-preferred content. The method may include retrieving, based on content information of current content, one or more pieces of edited content corresponding to the current content, identifying a preference for an editing style, the preference being based on a viewing history, and identifying and providing recommended content among the one or more pieces of edited content, based on the preference for the editing style. ## Claims ### Claim 1 A method, performed by a server, the method comprising: retrieving, based on content information of current content being played on a user device, one or more pieces of edited content corresponding to the current content; identifying a preference for an editing style, the preference being based on a viewing history; identifying recommended content among the one or more pieces of edited content, based on the preference for the editing style; and transmitting information about the recommended content to the user device. ### Claim 2 (depends on 1) The method of claim 1, further comprising: identifying original content and pieces of edited content corresponding to the original content; and analyzing one or more editing style elements and obtaining an editing style score for each of the pieces of edited content, wherein the identifying the recommended content comprises identifying the recommended content, based on the editing style score obtained for the one or more pieces of edited content. ### Claim 3 (depends on 2) The method of claim 2, further comprising: identifying pieces of similar content, based on similarities between a plurality of pieces of content in a storage; and identifying the original content and the pieces of edited content among the pieces of similar content, based on one or more defined conditions. ### Claim 4 (depends on 2) The method of claim 2, wherein the identifying of the preference for the editing style comprises analyzing subtitles included in the pieces of edited content that are included in the viewing history of the user, to obtain a preference for subtitles. ### Claim 5 (depends on 2) The method of claim 2, wherein the identifying of the preference for the editing style comprises analyzing a non-speech segment of the pieces of edited content that are included in the viewing history of the user, to obtain a preference for the non-speech segment. ### Claim 6 (depends on 2) The method of claim 2, wherein the identifying of the preference for the editing style comprises analyzing a viewing section of the pieces of edited content that are included in the viewing history of the user, to obtain a preference for an effective viewing segment. ### Claim 7 (depends on 1) The method of claim 1, further comprising: identifying a plurality of device groups of devices with similar use histories by clustering devices, the clustering of the devices being based on use histories of the devices; and identifying a group corresponding to the user device among the plurality of device groups, based on a use history of the user device, wherein the identifying the recommended content comprises identifying the recommended content, based on a preference for an editing style of the identified device group. ### Claim 8 (depends on 7) The method of claim 7, wherein the identifying of the plurality of device groups comprises identifying features to be used for clustering among features of the use histories of the devices, based on content information viewed on the user device. ### Claim 9 (depends on 1) The method of claim 1, wherein the transmitting of the information about the recommended content comprises transmitting a recommended content list including the one or more pieces of edited content. ### Claim 10 (depends on 1) The method of claim 1, further comprising: editing the current content, based on the preference for the editing style, wherein the transmitting of information about the recommended content comprises transmitting the edited current content as the recommended content. ### Claim 11 A server comprising: a communication interface; at least one processor; and a memory storing instructions, wherein the instructions, when executed by the at least one processor, cause the server to: retrieve, based on content information of current content being played on a user device, one or more pieces of edited content corresponding to the current content, wherein the content information is received from the user device through the communication interface, identify a preference for an editing style, the preference being based on a viewing history, identify recommended content among the one or more pieces of edited content, based on the preference for the editing style, and transmit, through the communication interface, information about the recommended content to the user device. ### Claim 12 (depends on 11) The server of claim 11, wherein the instructions, when executed by the at least one processor, cause the server to: identify original content and pieces of edited content corresponding to the original content, analyze one or more editing style elements and obtain an editing style score for each of the pieces of edited content, and, identify the recommended content, based on the editing style score obtained for the one or more pieces of edited content. ### Claim 13 (depends on 12) The server of claim 12, wherein the instructions, when executed by the at least one processor, cause the server to: identify pieces of similar content, based on similarities between a plurality of pieces of content in a storage, and identify the original content and the pieces of edited content among the pieces of similar content, based on one or more defined conditions. ### Claim 14 (depends on 12) The server of claim 12, wherein the instructions, when executed by the at least one processor, cause the server to: analyze subtitles included in the pieces of edited content that are included in the viewing history of the user, to obtain a preference for subtitles. ### Claim 15 (depends on 12) The server of claim 12, wherein the instructions, when executed by the at least one processor, cause the server to: analyze a non-speech segment of the pieces of edited content that are included in the viewing history of the user, to obtain a preference for a non-speech segment. ### Claim 16 (depends on 12) The server of claim 12, wherein the instructions, when executed by the at least one processor, cause the server to: analyze a viewing section of the pieces of edited content that are included in the viewing history of the user, to obtain a preference for an effective viewing segment. ### Claim 17 (depends on 11) The server of claim 11, wherein the instructions, when executed by the at least one processor, cause the server to: identify a plurality of device groups of devices with similar use histories by clustering devices, the clustering of the devices being based on use histories of the devices, identify a group corresponding to the user device among the plurality of device groups, based on a use history of the user device, and, identify the recommended content, based on a preference for an editing style of the identified device group. ### Claim 18 (depends on 17) The server of claim 17, wherein the instructions, when executed by the at least one processor, cause the server to: identify features to be used for clustering among features of the use histories of the devices, based on content information viewed on the user device. ### Claim 19 (depends on 11) The server of claim 11, wherein the instructions, when executed by the at least one processor, cause the server to: transmit, through the communication interface, a recommended content list including the one or more pieces of edited content. ### Claim 20 A non-transitory computer-readable recording medium having recorded thereon a program for causing a computer to execute a method comprising: retrieving, based on content information of current content being played on a user device, one or more pieces of edited content corresponding to the current content; identifying a preference for an editing style, the preference being based on a viewing history; identifying recommended content among the one or more pieces of edited content, based on the preference for the editing style; and transmitting information about the recommended content to the user device.