Adobe, Inc.

Anuj Jain

Ashish Duggal

Sachin Soni

Anmol Dhawan

Praveen Kumar Goyal

Atul Kumar Shrivastava

Balaji Vasan Srinivasan

Anandhavelu Natarajan

Neha Saxena

Niraj Gupta

Kumar Mrityunjay Singh

Naresh Chand Gupta

Vineet Gupta

Shriram Revankar

Raman Gupta

Bharat Polineni

Anand Ganesan

Japnik Singh

Creating audience segments for campaigns is described. In one or more embodiments, an audience manager is configured to create, for one or more videos, a video audience segment associated with the video by storing, in a data management platform, user identifiers of users that viewed the video. The user identifiers can be received from a client player each time that a video is played at the client player. The audience manager is further configured to extract demographic information from a demographic report associated with the video that is received from a demographics provider, and to associate the demographic information with the video audience segment. The audience manager is further configured to generate a target audience segment for a campaign by merging and combining user identifiers that are included in two or more video audience segments.

Creating audience segments for campaigns

Associating social comments with individual assets used in a campaign is described. In one or more embodiments, a campaign that includes one or more assets (e.g., images or videos of products) is published to one or more social networks. Comments (e.g., user comments, user shares, or other textual feedback) to the campaign on the one or more social networks are collected and analyzed to attribute each comment to an individual asset of the campaign. Social metadata, such as a social mention count and a social sentiment score, is generated based on the comments to enhance metadata of the individual asset.

Associating social comments with individual assets used in a campaign

The present disclosure is directed toward targeting advertisements to a close-knit group of users. Methods and systems of the present disclosure identify a close-knit group of users or devices based on the use of a concurrent streaming account. The methods and system further include providing an advertisement in conjunction with the content streaming to the devices of the close-knit group to increase the likelihood of a conversion. Optionally, the methods and systems tailor these advertisements based on an age segment of targeted users or based on features engaged by another user of the close-knit group.

Targeting ads engaged by a user to related users

A method and apparatus for prediction of community reaction to a post for an online social community is disclosed. The method comprises receiving a proposed post as input to a generated prediction model prior to the proposed post being posted to an online social community; predicting a community reaction to the proposed post using the prediction model; and displaying the predication, wherein the prediction comprises a sentiment score and at least one of a number of responses, a number of responders to the post, a longevity of the post, or a half-life of the post.

Method and apparatus for prediction of community reaction to a post

Methods and systems for managing advertisement (ad) delivery and ad inventory for advertisements (ads) placed in video content are provided. An exemplary method receives campaign criteria for a new advertising campaign, the campaign criteria including at least a desired date range. The method then retrieves indications of unsold ad space inventory. In response to determining, based at least in part on the unsold ad space inventory in the desired date range, that the campaign criteria cannot be satisfied, the method: renders, in a user interface, an interactive ad delivery and distribution report indicating forecasted ad distribution and ad delivery for at least part of the desired date range during which the campaign criteria cannot be satisfied; and redistributes ad delivery by adjusting an ad delivery plan based on adjusted report parameters received via the interface in order to accommodate the new advertising campaign.

Forecasting-based management of advertisement delivery and inventory

A computer implemented method and apparatus for improving viewer engagement in video advertising. The method comprises configuring a plurality of skip options for presentation in advertising content, such that each skip option of the plurality of skip options is presented in series for a limited duration during display of the advertising content until a presented one of the skip options is selected.

Method and apparatus for improving viewer engagement in video advertising

Video character-based content targeting is described. In one or more embodiments, users make selections of characters in video content in conjunction with playback of the video content. For example, a user is prompted during playback of video content to select a character in the video content that the user likes. An indication is received of selections made by the user of one or more characters, each of which is associated with information that describes a degree to which the character exhibits a plurality of personality attributes. Once received, the user's selections of the one or more characters from the video content are analyzed. In particular, the selections are analyzed to ascertain a degree to which the user identifies with the plurality of personality attributes. The degree to which the user is determined to identify with the plurality of personality attributes is then used to control communication of content to the user.

Growing community of inventors

New Delhi, India

Anuj Jain