# US 10,503,805 B2 · Generating feedback for a target content item based on published content items > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,503,805 B2 - Document ID: US10503805B2 - Status: Granted - Kind: B2 - Application number: 15/383,571 - Filed: 2016-12-19 - Published: 2018-06-21 - Granted: 2019-12-10 - Earliest claimed: 2016-12-19 - Assignees: Oracle International Corporation - Applicants: Oracle International Corporation - Inventors: Paul Claudell Lawbaugh - Web page: https://patentgrep.com/patent/US10503805B2 ## CPC - G06F 16/958: Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract Techniques for generating feedback for an unpublished content item based on published content items are disclosed. A content feedback engine identifies published content items associated with similar attributes as the unpublished content item. Effectiveness scores of the published content items are determined. The content feedback engine determines an effectiveness score for a portion of the unpublished content item based on the effectiveness scores of the published content items. The content feedback engine presents a graphical indication that marks the portion of the unpublished content item based on the effectiveness score for the portion of the unpublished content item. Additionally or alternatively, the content feedback engine recommends content to be added to and/or removed from the unpublished content item based on the content and/or attributes of the published content items. ## Claims ### Claim 1 A non-transitory computer readable medium comprising instructions which, when executed by one or more hardware processors, cause performance of operations comprising: determining a first effectiveness score corresponding to a first subset of published content items that share one or more attributes with at least a first portion of a target content item that is being drafted; wherein the first effectiveness score is indicative of at least one of a predicted level of engagement and a predicted level of sentiment associated with a hypothetical content item having the first portion that is published on at least one social networking platform; determining a second effectiveness score corresponding to a second subset of published content items that share one or more attributes with at least a second portion of the target content item that is being drafted; and presenting, on a graphical user interface for drafting the target content item, (a) a first graphical indication that marks the first portion of the target content item based on the first effectiveness score, without marking one or more other portions of the target content item based on the first effectiveness score and (b) a second graphical indication that marks the second portion of the target content item based on the second effectiveness score. ### Claim 2 (depends on 1) The medium of claim 1, wherein the operations further comprise: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to add the selected portion of the third subset of published content items into the target content item. ### Claim 3 (depends on 2) The medium of claim 2, wherein the selected portion of the third subset of published content items comprises a social handle. ### Claim 4 (depends on 2) The medium of claim 2, wherein the selected portion of the third subset of published content items comprises a topic. ### Claim 5 (depends on 1) The medium of claim 1, wherein the operations further comprise: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to replace current content in the target content item with the selected portion of the third subset of published content items. ### Claim 6 (depends on 1) The medium of claim 1, wherein the operations further comprise: determining an overall effectiveness score of the target content item based on the first effectiveness score and the second effectiveness score; and presenting, on the graphical user interface for drafting the target content item, a third graphical indication based on the overall effectiveness score. ### Claim 7 (depends on 1) The medium of claim 1, wherein the first effectiveness score is based on an engagement score corresponding to each of the first subset of published content items, and the second effectiveness score is based on a sentiment score corresponding to each of the second subset of published content items. ### Claim 8 (depends on 7) The medium of claim 7, wherein the operations further comprise: determining the engagement score corresponding to a particular published content item, of the first subset of published content items, based on at least one of: (a) a number of users that viewed the particular published content item, and (b) a number of users that took an action in association with the particular published content item. ### Claim 9 (depends on 7) The medium of claim 7, wherein the operations further comprise: determining the sentiment score corresponding to a particular published content item, of the second subset of published content items, based on a level of positivity or negativity corresponding to actions taken in association with the particular published content item. ### Claim 10 (depends on 1) The medium of claim 1, wherein the first effectiveness score corresponding to the first subset of published content items is determined based at least on data obtained through monitoring user interaction with a particular published content item, of the first subset of published content items. ### Claim 11 (depends on 1) The medium of claim 1, wherein determining the first effectiveness score corresponding to the first subset of published content items comprises: monitoring user interaction with a particular published content item, of the first subset of published content items, to obtain information associated with the user interaction; determining the first effectiveness score corresponding to the first subset of published content items based at least on the information associated with the user interaction. ### Claim 12 (depends on 11) The medium of claim 11, wherein the information associated with the user interaction comprises one or more of: a number of viewers of the particular published content item; a number of likes associated with the particular published content item; a number of comments associated with the particular published content item; a number of users who shared the particular published content item; a number of users who took action in association with the particular published content item. ### Claim 13 A method, comprising: determining a first effectiveness score corresponding to a first subset of published content items that share one or more attributes with at least a first portion of a target content item that is being drafted; wherein the first effectiveness score is indicative of at least one of a predicted level of engagement and a predicted level of sentiment associated with a hypothetical content item having the first portion that is published on at least one social networking platform; determining a second effectiveness score corresponding to a second subset of published content items that share one or more attributes with at least a second portion of the target content item that is being drafted; and presenting, on a graphical user interface for drafting the target content item, (a) a first graphical indication that marks the first portion of the target content item based on the first effectiveness score, without marking one or more other portions of the target content item based on the first effectiveness score and (b) a second graphical indication that marks the second portion of the target content item based on the second effectiveness score; wherein the method is performed by at least one device including a hardware processor. ### Claim 14 (depends on 13) The method of claim 13, further comprising: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to add the selected portion of the third subset of published content items into the target content item. ### Claim 15 (depends on 14) The method of claim 14, wherein the selected portion of the third subset of published content items comprises a social handle. ### Claim 16 (depends on 14) The method of claim 14, wherein the selected portion of the third subset of published content items comprises a topic. ### Claim 17 (depends on 13) The method of claim 13, further comprising: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to replace current content in the target content item with the selected portion of the third subset of published content items. ### Claim 18 A system comprising: at least one device including a hardware processor; and the system being configured to perform operations comprising: determining a first effectiveness score corresponding to a first subset of published content items that share one or more attributes with at least a first portion of a target content item that is being drafted; wherein the first effectiveness score is indicative of at least one of a predicted level of engagement and a predicted level of sentiment associated with a hypothetical content item having the first portion that is published on at least one social networking platform; determining a second effectiveness score corresponding to a second subset of published content items that share one or more attributes with at least a second portion of the target content item that is being drafted; and presenting, on a graphical user interface for drafting the target content item, (a) a first graphical indication that marks the first portion of the target content item based on the first effectiveness score, without marking one or more other portions of the target content item based on the first effectiveness score and (b) a second graphical indication that marks the second portion of the target content item based on the second effectiveness score. ### Claim 19 (depends on 18) The system of claim 18, wherein the operations further comprise: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to add the selected portion of the third subset of published content items into the target content item. ### Claim 20 (depends on 18) The system of claim 18, wherein the operations further comprise: identifying a third subset of published content items that share one or more attributes with at least the first portion of the target content item that is being drafted; selecting a portion of the third subset of published content items; and generating a recommendation to replace current content in the target content item with the selected portion of the third subset of published content items.