# US 11,113,722 B2 · Providing content related to sentiment of product feature > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,113,722 B2 - Document ID: US11113722B2 - Status: Granted - Kind: B2 - Application number: 14/869,463 - Filed: 2015-09-29 - Published: 2017-03-30 - Granted: 2021-09-07 - Earliest claimed: 2015-09-29 - Assignees: Adobe Inc. - Applicants: Adobe Inc. - Inventors: Stéphane Moreau; Sachin Soni; Ashish Duggal; Anmol Dhawan - Web page: https://patentgrep.com/patent/US11113722B2 ## CPC - G06Q 30/0255: {based on user history} - G06Q 30/0277: {Online advertisement} - G06Q 30/0633: {Managing shopping lists, e.g. compiling or processing purchase lists (shipping orders G06Q10/083; order filling G06Q10/087)} - 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 ## Abstract Embodiments of the present invention provide systems, methods, and computer storage media directed to providing targeted content related to sentiment associated with products. In one embodiment, content of a referral source from which a user navigates to arrive at a product page having an item of interest is analyzed. A sentiment of the item based on the analysis of the content within the referral source is determined. Based on the sentiment of the item, targeted content related to the item is identified and provided to the user in an effort to reconcile the determined sentiment of the item. ## Claims ### Claim 1 One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations to provide targeted content related to sentiment associated with products, the operations comprising: in accordance with an abandonment of an item in an electronic shopping cart, identifying a referral source from which a user navigated to arrive at a product page having the item in an electronic shopping cart; determining that the referral source and the product page were visited during a browsing session; determining a negative sentiment of a product feature associated with the item, wherein the negative sentiment of the product feature is determined using content of the referral source, wherein the content of the referral source includes a negative description of the product feature; based on the negative sentiment of the product feature, selecting positive targeted content related to the product feature associated with the item, wherein the positive targeted content includes a positive description of the product feature which is contrary to the negative description of the product feature in the content of the referral source, the targeted content intended to address the negative sentiment of the product feature associated with the item; and providing the positive targeted content for the user to view in an effort to entice the user to complete a purchase of the item in the shopping cart. ### Claim 2 (depends on 1) The one or more computer storage media of claim 1, wherein the electronic shopping cart is deemed abandoned upon a time period of inactivity with the electronic shopping cart. ### Claim 3 (depends on 1) The one or more computer storage media of claim 1, wherein the referral source comprises a webpage associated with a blog post, a review, a set of search results, a social network post, or a combination thereof. ### Claim 4 (depends on 1) The one or more computer storage media of claim 1, wherein the referral source corresponds with a website that is separate from a website associated with the product page. ### Claim 5 (depends on 1) The one or more computer storage media of claim 1, wherein the negative sentiment is determined using a keyword level sentiment engine that determines a sentiment score in relation to the product feature. ### Claim 6 (depends on 1) The one or more computer storage media of claim 1, wherein the referral source comprises a webpage that includes at least one mention of the product feature. ### Claim 7 (depends on 1) The one or more computer storage media of claim 1 wherein the positive description of the product feature is included as part of a blog post, a review, a product specification, a social post, or a combination thereof. ### Claim 8 (depends on 1) The one or more computer storage media of claim 1, wherein the positive targeted content is provided via an electronic mail or an instant message. ### Claim 9 A computer-implemented method for providing targeted content related to sentiment associated with products, the method comprising: in accordance with an abandonment of an item in an electronic shopping cart, identifying a referral source from which a user navigated to arrive at a product page having the item in an electronic shopping cart; determining that the referral source and the product page were visited during a browsing session; determining a negative sentiment of a product feature associated with the item, wherein the negative sentiment of the product feature is determined using content of the referral source, wherein the content of the referral source includes a negative description of the product feature; based on the negative sentiment of the product feature, selecting positive targeted content related to the product feature associated with the item, wherein the positive targeted content includes a positive description of the product feature which is contrary to the negative description of the product feature in the content of the referral source, the targeted content intended to address the negative sentiment of the product feature associated with the item; and providing the positive targeted content for the user to view in an effort to entice the user to complete a purchase of the item in the shopping cart. ### Claim 10 (depends on 9) The method of claim 9, wherein the referral source comprises a webpage that includes at least one mention of the product feature. ### Claim 11 (depends on 9) The method of claim 9, wherein an indication of the referral source is identified in accordance with identifying an abandonment of the item in the electronic shopping cart. ### Claim 12 (depends on 9) The method of claim 9, wherein the negative sentiment is determined using a keyword level sentiment engine that determines a sentiment score in relation to the product feature. ### Claim 13 (depends on 9) The method of claim 9 further comprising generating a targeting email that includes the positive targeted content. ### Claim 14 (depends on 9) The method of claim 9, wherein analyzing the referral source further comprises: determining that a term frequency associated with a competitor of the item exceeds a threshold value, wherein term frequency is determined using content of the referral source; based on the term frequency associated with the competitor of the item exceeding a threshold value, determining a user sentiment of the item in association with the competitor of the item; and selecting targeted content comparing the item to a product of the competitor, wherein the item and the product of the competitor have similar product features. ### Claim 15 A computer-implemented method for providing targeted content related to sentiment associated with products, the method comprising: in accordance with an abandonment of an item in an electronic shopping cart, identifying a referral source from which a user navigated to arrive at a product page having the item in an electronic shopping cart; determining that the referral source and the product page were visited during a browsing session; determining a negative sentiment of a product feature associated with the item, wherein the negative sentiment of the product feature is determined using content of the referral source, wherein the content of the referral source includes a negative description of the product feature; based on the negative sentiment of the product feature, selecting positive targeted content related to the product feature associated with the item, wherein the positive targeted content includes a positive description of the product feature which is contrary to the negative description of the product feature in the content of the referral source, the targeted content intended to address the negative sentiment of the product feature associated with the item; and providing the positive targeted content for the user to view in an effort to entice the user to complete a purchase of the item in the shopping cart. ### Claim 16 (depends on 15) The method of claim 15, wherein the referral source comprises a webpage associated with a blog post, a review, a set of search results, a social network post, or a combination thereof. ### Claim 17 (depends on 15) The method of claim 15, wherein the referral source corresponds with a website that is separate from a website associated with the product page. ### Claim 18 (depends on 15) The method of claim 15, wherein the negative sentiment is determined using a keyword level sentiment engine that determines a sentiment score in relation to the product feature. ### Claim 19 (depends on 15) The method of claim 15, wherein the referral source comprises a webpage that includes at least one mention of the product feature. ### Claim 20 (depends on 15) The method of claim 15, wherein the positive description of the product feature is included as part of a blog post, a review, a product specification, a social post, or a combination thereof.