Abstract: A method for automatic placement opportunity bidding of digital advertising in a real-time advertisement exchange includes receiving a request for an ad placement opportunity from the exchange or a content publisher. The request includes information pertaining to a user who is presently viewing on-line content. Audience segments that the user belongs to are identified. An audience group is identified based on the audience segments. It is determined if a first and/or a second ad campaign of an advertiser should respond to the requests based on the identified audience group. When there is an audience conflict, it is resolved to identify one single ad campaign to respond to the placement opportunity request. The bid for the placement opportunity is submitted on behalf of the identified ad campaign.

Abstract: A video personalizing method, system, and non-transitory computer readable medium receiving user information for a viewer watching a first video, includes a video selection device configured to select a second video out of a plurality of videos stored in a video storing unit in order to increase a satisfaction of the viewer based on the user information collected while the viewer is watching the first video, where the satisfaction to the second video is observed and the selection by the video selection device is modified if a level of the satisfaction of the viewer towards the second video is less than a predetermined threshold value.

Abstract: An apparatus and method for A/B testing including a storage device storing a set of data, an input device receiving input from a sensor according to a review of composed set of data, a processor receiving an input signal from the input device, the input signal including a plurality of criteria noted according to a time of the composed set of data, the processor processing the first set of data according to a feedback of the input signal. The processor analyzes the input signal and extracts the plurality of criteria from the input signal as extracted information. The processor composes the set of data from the storage device according to the extracted information, and sends the composed set of data, time segment by time segment, to the input device according to the feedback of the input signal.

Abstract: A video personalizing method, system, and non-transitory computer readable medium receiving user information for a viewer watching a first video, includes a biometric analyzing device configured to analyze the user information for biometric data, a viewer content analyzing device configured to analyze the user information for online content generated by the viewer in parallel to watching the first video, an expression analyzing device configured to analyze the user information for facial and eye reactions of the viewer, a text analyzing device configured to analyze the user information for text that the viewer reads, and a video selection device configured to select a second video out of a plurality of videos stored in a video storing unit in order to increase a satisfaction of the viewer based on the collective outputs the biometric analyzing device, the viewer content analyzing device, the expression analyzing device, and the text analyzing device.

Abstract: A method includes identifying, by a communication device, an audience including one or more viewers, generating a preference profile for the audience, correlating the generated preference profile to one or more social profiles, determining, based on the generated preference profile, the one or more social profiles, and a database of social influencers, a contextual influence, the contextual influence identifies and quantifies a possible reaction of the audience to a video content, computing a plurality of potential video advertisements from a plurality of video templates, the computing is based on the determination of the contextual influence, and ranking the computed plurality of potential video advertisements according to the contextual influence.

Abstract: A method includes identifying, by a communication device, an audience including one or more viewers, generating a preference profile for the audience, correlating the generated preference profile to one or more social profiles, determining, based on the generated preference profile, the one or more social profiles, and a database of social influencers, a contextual influence, the contextual influence identifies and quantifies a possible reaction of the audience to a video content, computing a plurality of potential video advertisements from a plurality of video templates, the computing is based on the determination of the contextual influence, and ranking the computed plurality of potential video advertisements according to the contextual influence.

Abstract: A method includes the following steps. A request is received to locate one or more convenient communication devices for a recipient of an interaction request. A command is issued to search for the recipient at one or more communication devices. Information related to the recipient is received from the one or more communication devices. A convenience score is computed for each of the one or more communication devices based on the received information. The interaction request is forwarded to one of the one or more communication devices based on the one or more computed convenience scores.

Abstract: A method and computer for managing analysis of sentiment is disclosed. A computer retrieves data used to perform the analysis of sentiment. The computer analyzes the data and the analysis of sentiment to determine if a gap exists requiring further processing to improve the analysis of sentiment. Responsive to a determination that the gap exists requiring further processing to improve the analysis of sentiment, the computer generates a task to address the gap. The computer then uses crowdsourcing to submit the generated task for processing.

Abstract: A method, apparatus, and computer program product for managing marketing impressions. An apparatus identifies utility of a seller and utility of a user. The apparatus generates an offer of a reward based on the utility of the seller and the utility of the user. The offer of the reward is for performing a social marketing task. The social marketing task is for generating a first number of marketing impressions to achieve a set of objectives of the seller. The apparatus activates the reward for the user when the social marketing task is completed. The social marketing task is completed when the apparatus determines that the user has accepted the offer and the performing of the social marketing task has generated the first number of marketing impressions.

Abstract: A method for identifying influence on user interest for products and ability of users and products to be influenced is disclosed. A processor identifies a degree of influence a number of influencers has over user interest for each of a number of products based on a history of user interest of a number of users for the number of products, wherein each influencer in the number of influencers as one of a user in the number of users and a product in the number of products. The processor also identifies a degree of ability of one or more of the number of users and the number of products to be influenced based on the degree of influence of each of the number of influencers and a number of relationships between the one or more of the number of users and the number of products and the number of influencers.

Abstract: The techniques provided herein include obtaining a model of an enterprise operation that specifies initiation and one or more evolution milestones of one or more business entities, formulating one or more performance metrics for the enterprise operation, wherein the one or more performance metrics are calculated from the one or more business entities, the one or more evolution milestones, and one or more relevant external events, and using the one or more business entities and one or more performance metrics to automatically create an executable performance monitoring model for the enterprise operation, wherein the executable performance monitoring model processes data in the one or more business entities, the one or more evolution milestones, and the one or more relevant external events to compute the one or more performance metrics for the enterprise operation.

Abstract: A system and method to perform context aware sentiment analysis on a project that includes two or more aspects are described. The method includes identifying one or more inputs related to the project. The method also includes decomposing each of the one or more inputs, based on a content of the one or more comments, into at least one of the two or more aspects to generate one or more comment-aspect sets, each of the two or more aspects representing a context within the project, extracting opinions from each of the comment-aspect sets, and generating a disruptive argument based on the opinions.

Abstract: A system and method to perform context aware sentiment analysis on a project that includes two or more aspects are described. The method includes identifying one or more inputs related to the project. The method also includes decomposing each of the one or more inputs, based on a content of the one or more comments, into at least one of the two or more aspects to generate one or more comment-aspect sets, each of the two or more aspects representing a context within the project, extracting opinions from each of the comment-aspect sets, and generating a disruptive argument based on the opinions.

Abstract: A computer and computer program product for managing analysis of sentiment is disclosed. A computer retrieves data used to perform the analysis of sentiment. The computer analyzes the data and the analysis of sentiment to determine if a gap exists requiring further processing to improve the analysis of sentiment. Responsive to a determination that the gap exists requiring further processing to improve the analysis of sentiment, the computer generates a task to address the gap. The computer then uses crowdsourcing to submit the generated task for processing.

Abstract: A method and computer for managing analysis of sentiment is disclosed. A computer retrieves data used to perform the analysis of sentiment. The computer analyzes the data and the analysis of sentiment to determine if a gap exists requiring further processing to improve the analysis of sentiment. Responsive to a determination that the gap exists requiring further processing to improve the analysis of sentiment, the computer generates a task to address the gap. The computer then uses crowdsourcing to submit the generated task for processing.

Abstract: The techniques provided herein include obtaining a model of an enterprise operation that specifies initiation and one or more evolution milestones of one or more business entities, formulating one or more performance metrics for the enterprise operation, wherein the one or more performance metrics are calculated from the one or more business entities, the one or more evolution milestones, and one or more relevant external events, and using the one or more business entities and one or more performance metrics to automatically create an executable performance monitoring model for the enterprise operation, wherein the executable performance monitoring model processes data in the one or more business entities, the one or more evolution milestones, and the one or more relevant external events to compute the one or more performance metrics for the enterprise operation.