Abstract: A computer-implemented method, apparatus, and non-transitory, computer-readable product target potential investors for a company. A computer server obtains investment characteristics information associated with each of a first number of investors and determines asset characteristics information associated with a company interested in attracting investment. The server then analyzes the investment characteristics information associated with each of the first number of investors and the asset characteristics information associated with the company. The analysis includes determining a total compatibility score for each of the first number of investors that is based on a first quantitative fit parameter, a second total impact parameter, and a third quality rating parameter.

Abstract: Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.

Abstract: An advertisement system includes an advertising manager that receives a content-event indicator, which indicates playback of an advertisement for viewing on a first display screen at a media-playback device or indicates playback of recorded content that includes advertisements. The advertising manager can determine an optimal time offset as a duration of time before or after playback of an advertisement to the start of an event that is associated with the advertisement for viewing on a second display screen at a mobile device. For recorded content, an optimization schedule is determined that replaces and time-shifts advertisements during playback of the recorded content. The advertising manager can also determine a fulfillment criterion for a product or service based on latency constraints to indicate a duration of time within which fulfillment of the product or service is expected when offered as a second advertisement corresponding to a first advertisement.

Abstract: A system and method are disclosed for social targeting within a social media environment. A sample set of social media interactions containing a reference to an intent to purchase a product is processed to generate a prioritization index. The prioritization index is then used to monitor social media interactions in a target social media environment to identify social media users exhibiting propensity-to-purchase behavior. A propensity-to-purchase value is then generated for each of the identified social media users and they are ranked accordingly. The ranked social media users are then converted into sales leads for nurturing.

Abstract: A protocol generator and presenter device provides stimuli to a subject to allow analysis of the effectiveness of marketing and entertainment materials. A protocol generator generates presentation parameters such as length of presentation, number of repetitions, number of physiological baselines, etc. The presenter device uses the presentation parameters to elicit responses from a subject that are then measured and analyzed using multiple neurophysiological modalities. Feedback is provided to the protocol generator and presenter device to dynamically update presentation parameters.

Abstract: A method, system and controller is provided for a selection service recommending or providing access to goods or service items to a consumer, comprising the steps of: identifying a set of available items at least some of which require payment to item providers for access (1201); predicting a measure of likely enjoyment of each available item by the consumer (1202)/calculating a measure of value for money of each available item for the consumer (1203); and recommending or providing access to items to the consumer that will represent good value for money (1204).

Abstract: A social networking system selects advertisements for its users using collaborative filtering based on the users' interactions with objects in the social networking system. The objects may be games, pages, groups, deals, messages, content items, advertisements, or any other object with which a user may interact in the system. The system may identify a viewing user's interaction with a first object, determine a second object that is similar to the first object based on interactions of users with both of the objects, and send an advertisement associated with the second object to the viewing user. The system determines a second object based a similarity score between the first object and the second object, which may be a measure of users who have interacted with both objects and may be normalized by a number of user interactions by the users with the objects.

Abstract: In some embodiments, a software facility performs a method of automated specification of models, estimation of elasticities, and discovery of drivers using the framework(s) discussed elsewhere herein is provided. The facility first obtains the client, business, and/or brand goals in terms of profit optimization, volume or revenue goals, acquisition of new customers, retention of customers, share of wallet and upsell. In conjunction with these goals, the facility obtains cross-section meta-data related to the planning time horizon, markets, geographies, channels of trade and customer segments. In combination, the goals and meta-data define the structure of the data stack and the number of demand generation equations that are needed.

Abstract: An advertisement transmitted from an advertisement distributor terminal and advertisement distribution request information are mutually associated and stored in an advertisement distribution management device. Further, user information transmitted from the user terminal is added with identification information, and stored in the advertisement distribution management device. Thereafter, the advertisement distribution management device acquires user identification information in response to a Web site reading requirement transmitted from the user terminal, and extracts all category information belonged to by advertisements the distribution of which are approved by the user with reference to a user information is determined out of the category information. Furthermore, one advertisement is determined out of the advertisements that belong to the category information, and the advertisement is transmitted to the user terminal.

Abstract: Methods, computer systems, and computer-readable storage media for modifying an advertising bid for delivering behaviorally-targeted advertising based on affinity scores are provided. A set of affinity scores associated with users belonging to a behavioral targeting segment is received. A bid adjustment factor is dynamically calculated based on a first affinity score of the set of affinity scores; the first affinity score is associated with a first user of the set of users. The bid adjustment factor is used to modify the advertising bid such that the bid reflects an affinity of the first user for the topic associated with the behavioral targeting segment.

Abstract: Placing advertisement, informational or promotional material into a live stream event streamed to a client device, including: establishing a private relationship between a server and the client device; receiving statistical studies performed of a pattern of behavior of members of the private relationship with respect to contents and services streamed live; preparing and storing the advertisement, informational or promotional material based on the statistical studies; selecting the stored advertisement, informational or promotional material for the client device; and placing the selected advertisement, informational or promotional material into a temporally and spatially appropriate position of the live stream event. Keywords include live media stream and BIVL.

Abstract: Offers are targeted to consumers by comparing offer profiles and consumer profiles. Offer profiles are created by analyzing the cumulative content of communications associated with consumers who respond to the offers. Consumer profiles are created by analyzing the cumulative content of communications associated with a user of an electronic communications system. An offer may be selected to be sent to a user based on the relative similarity between the user's consumer profile and the offer profile.

Abstract: An advertising system is disclosed. In one embodiment, the system includes a processor and a memory including application instructions for execution by the processor. The application instructions may include a visual analytics engine to analyze visual information including human activity and a content engine separate from the visual analytics engine to provide advertising content to one or more potential customers. Further, the instructions may include an interface module to enable information generated from analysis of the human activity by the visual analytics engine to be transferred to the content engine in accordance with a specification in which the information generated is characterized with a hierarchical, object-oriented data structure. Additional methods, systems, and articles of manufacture are also disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for estimating demographic compositions of television audiences from audience similarities. In an aspect, pairwise cosine similarities of segment of viewers of rated and unrated television programs are determined, demographic information of rated programs is attributed to the unrated programs from the cosine similarity measures and demographic information for the rated programs.

Abstract: Techniques are provided which allow classifying users into targeting segments. Methods and systems obtain a user's social graph, which indicates the user's social network connections. A first group of targeting segments that each of the user's social network connections belong to may be determined. A second group of targeting segments, which includes targeting segments that the user does not currently belong to, may be determined from the first group of targeting segments. A confidence rating may be assigned to each of the targeting segments in the second group. The user may be classified into one or more of the targeting segments in the second group of targeting segments based at least in part on the confidence rating.

Abstract: A social networking system enables advertisers to target advertisements to users who are attending events, which may be associated with concepts, temporal information, and locations. Targeting criteria for advertisements may include global events and user-generated events. Using past event attendance history, location information, and social graph information, a social networking system may generate a predictive model to estimate probabilities of whether users will attend an event. Confidence scores may be generated for users for an event based on the predictive model. Advertisements may be targeted to users based on events using the confidence scores. Event attendance by users may be used in a fuzzy matching algorithm by the social networking system in providing advertisements to users of the social networking system.

Abstract: A system and methods for management and delivery of content and rules is disclosed. An exemplary method may comprise managing, for an organization, a plurality of data and a plurality of content in separate database entities, wherein the plurality of content is associated with the plurality of data based on a plurality of rules; packaging the plurality of rules with the plurality of content in a carrier that is independent from one or more presentation channels, wherein at least part of the plurality of content is integrated with at least part of the plurality of data; delivering the plurality of data and the carrier to the one or more presentation channels; integrating, at the one or more presentation channels, the plurality of data with the plurality of content based on the plurality of rules; and distributing the integrated data and content through the one or more presentation channels.

Abstract: Methods, systems, and techniques for presenting auxiliary content and information regarding browsing and/or navigation futures to be used in a gesture-based user interface are provided. Example embodiments provide a Gesture Based Content Presentation System (GBCPS), which enables a gesture-based user interface to offer to one or more sponsors of content information regarding a next content to be examined by a user related to a portion of electronic input that has been indicated by a received gesture. In overview, the GBCPS allows a portion (e.g., an area, part, etc.) of electronically presented content to be dynamically indicated by a gesture. The GBCPS examines the indicated portion in conjunction with potentially a set of (e.g., one or more) factors to determine a next content and distributes information to potential sponsors. Once auxiliary content is received or determined, it is then presented to the user when the next content is navigated to.

Abstract: A computer-implemented method for displaying advertisements to members of a network comprises identifying one or more communities of members, identifying one or more influencers in the one or more communities, and placing one or more advertisements at the profiles of one or more members in the identified one or more communities.

Abstract: A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.

Abstract: The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

Abstract: An advertisement order booking method and system based on optimization and an advertisement delivery method of content pushing services based on optimized advertisement order are disclosed in the present invention, which solves the problem of waste in advertisement inventory resource assignment. The advertisement order booking method includes: predicting a total advertisement user inventory; establishing an order-inventory relationship for each advertisement order in an order set in the total inventory; and optimizing the order-inventory relationship. Therefore, the purpose of optimizing the advertisement inventory resource assignment is achieved, and the advertisement is delivered more accurately, which avoids delivery errors caused by an insufficient number of subscribers.

Abstract: Described herein are techniques for operating a security server to determine behavioral profiles for entities in a network and to detect attacks or unauthorized traffic in a network based on those behavioral profiles. In one technique, a behavioral profile may be generated based on requests for security operations to be performed that are received at a security server from an entity in a network. The behavioral profile may be generated using learning techniques, including artificial intelligence techniques such as neural networks. When the security server receives from an entity one or more requests for security operations to be performed, the security server may compare properties of the requests to the behavioral profile for the entity and properties of requests commonly sent by the entity. The security server may determine a similarity score indicating how similar the request are to the behavioral profile and to requests commonly received from the entity.

Abstract: Offers, such as bids in an advertising network, may be determined and/or managed by accepting an ad budget and at least one ad serving constraint, and then generating offer information using the ad budget and the serving constraint(s). The offer may be generated by obtaining, for each of the ad serving constraint(s), a plurality of points, wherein each point includes a cost per event value and an event quantity value. These points collectively define a landscape. A convex landscape for each of the ad serving constraint(s) is then determined from the landscape(s). One or more points from at least one of the convex landscapes is then used to generate the offer information.

Abstract: In one embodiment, a method includes accessing online advertising data including metric values for one or more online advertising spaces; identifying pairs of the user variables; for each of the pairs, calculating a statistical score for each of the online advertising metrics and calculating a weighted score based on all the statistical scores for the pair; selecting one of the pairs based on its weighted score; and performing a merge test on the selected pair; and merging the user variables in the selected one of the pairs with each other if the selected one of the pairs passes the merge test.

Abstract: Programming media and advertising media may be presented in a manner that approximates or equals a target ratio. In one implementation, a total temporal length of one or more programming media segments is accessed after the user has selected the programming media segments. One or more advertising media segments are then selected. The advertising media segments have a total length that is based on the total temporal length of the programming media segments and a target temporal ratio between programming media and advertising media. The client system may present the one or more selected advertising media segments.

Abstract: Generating an advertisement unit is disclosed. A selection of one or more content items is received. Each of the content items has an associated quality score. A representation of at least one of the content items is included in a generated advertisement. The advertisement also includes, for each included content item, an associated link configured to, when activated by a viewer of the advertisement, direct the viewer to an instance of the respective included content item.

Abstract: The invention relates to an online advertising system comprising an activity determining module configured to determine, via a channel setup module, browsing activity on a web page comprising the channel setup module; a content database storing content associated with a plurality of web pages comprising channel setup modules; and an advertising server configured, at each determination of browsing activity on the web page, to determine whether recent content from the web page is substantially stored in the content database, wherein if the recent content from the web page is substantially stored in the content database, the advertising server is configured to serve an advertisement to the web page. The advertisement served advantageously selected after operation of a forward matching module and a reverse matching module to that the advertisement served is contextually relevant to the web page. The invention also relates to a method of operating the online advertising system.

Abstract: Effects of content communications propagated to users of a social networking system may be tracked and measured by the social networking system. Identifiers of content presented to a user within a time period prior to an action performed by the user are recorded in a first label object associated with the action. The action performed by the user generates new content to be presented to other users. The identifiers of the new content and the first label object are recorded in new label objects associated with actions performed by the other users subsequent to viewing the new content. Various metrics may be determined by analyzing the label objects associated with actions performed by users of the social networking system, including virality, reach, and identifying users that share a particular content item.

Abstract: The invention is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The invention includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

Abstract: A system evaluates stimulus materials such as videos, imagery, web pages, text, etc., in order to determine resonance and priming levels for various products and services at different temporal and spatial locations including advertisement breaks in the stimulus materials. The stimulus materials are tagged with resonance and priming level information to allow intelligent selection of suitable advertisement content for insertion at various locations in the stimulus materials. Response data such as survey data and/or neuro-response data including Event Related Potential (ERP), Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding data may be used to determine resonance and priming levels.

Abstract: The invention is a computer-aided method of optimizing advertisements and content by grouping viewers into scientific segments, optimizing an advertisement and pieces of content by scientific segments, selecting an advertisement or content to display to a scientific segment, and creating a scientific targeted advertisement or piece of content.

Abstract: A system assesses consumer experience by evaluating neuro-response measurements for a consumer exposed to products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Components of a consumer experience are analyzed to assess neuro-response measurements specific to each component. In many instances, neuro-response data is combined with other data and analyzed to determine total consumer experience.

Abstract: A system for analyzing call detail records to derive demographic data is provided. The system comprises a processor, a memory, and an application stored in the memory. When executed by the processor, the application analyzes call detail records associated with a base transceiver station to determine statistical information about the subscriber calls within the coverage area and to estimate demographics of people within the coverage area.

Abstract: A system performs stimulus targeting using neuro-physiological and neuro-behavioral data. Subjects are exposed to stimulus material such as marketing and entertainment materials and data is collected using mechanisms such as Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding. Neuro-physiological and neuro-behavioral data collected is analyzed to select targeted stimulus materials. The targeted stimulus materials are provided to particular subjects for a variety of purposes.

Abstract: A neuro-informatics repository system is provided to allow efficient generation, management, and access to central nervous system, autonomic nervous system, effector data, and behavioral data obtained from subjects exposed to stimulus material. Data collected using multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), Event Related Potential (ERP), surveys, etc., is stored using a variety of data models to allow efficient querying, report generation, analysis and/or visualization.

Abstract: A reporting system for providing reports on consumption rate changes for media content delivered over a network. A respective media consumption history is received for each of a plurality of entities at a storage. The histories are analyzed to identify selected media content for reporting based on changes in a consumption rate of the media content between at least two time intervals. A report including a reference to the selected media content is provided to a system. In an example, the system is a search engine indexing system and the invention enables the rapid indexing of new content and/or media content experiencing a surge in popularity. The consumption rate changes can be measured for monitored audiences comprising a subset of the audience. The monitored audience can be provided as a list of entities and/or selected based on the media consumption history and/or similarity to a known set of entities.

Abstract: A system evaluates and selects temporal and spatial locations for introduction of stimulus material. Video streams, physical locations, print advertisements, store shelves, images, commercials, etc. are analyzed to identify locations for introducing stimulus material, such as messages, brand images, products, media, marketing and/or other sales materials. The system analyzes neuro-response measurements from subjects exposed to stimulus material in different temporal and spatial locations. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. Neuro-response measurements are analyzed to select temporal and spatial locations for introduction of stimulus material.

Abstract: The various embodiments described in the present disclosure, in at least one aspect, relate to computer-implemented methods of online advertisement. In one embodiment, a method includes determining an attention score for each of a plurality of ad creatives corresponding to a common ad content based on at least a correlation between each ad creative and a user's subconscious interest. The method further includes selecting an ad creative among the plurality of ad creatives based at least in part on the attention scores, and presenting the ad content with the selected ad creative as an ad impression to the user.

Abstract: A system and method are disclosed including determining structured information sources that a local business participates in based on a common set of features that identify the business, collecting user interaction information from the structured information sources, aggregating the collected user interaction information into a set of attributes that are common across the structured information sources, storing local business location and the aggregated user interaction information for the set of attributes into a local business database, receiving a request from a mobile device for an ad including a geographic location, determining a geographic region that contains the geographic location, retrieving a set of local businesses from the local business database having locations within the region, determining distance values between the geographic location and the business locations, retrieving a subset of attributes for the aggregate user interaction information from the database, constructing feature vectors i

Abstract: A system and process for improving product recommendations for a first user includes receiving a request for one or more product recommendations for a first user, each product recommendation being associated with any one of a plurality of retailers, receiving a plurality of recommendation sets from one or more automated product recommendation systems, wherein the plurality of recommendation sets are generated using different selection models and using ensemble learning to select one or more most relevant product recommendation sets from the plurality of product recommendation sets.

Abstract: In one embodiment, a method includes accessing metric values for one or more online advertising spaces for placing one or more online advertisements; generating a first user variable subgroup and a second user variable subgroup from a user variable group; deriving first metric values for the first user variable subgroup; deriving second metric values for the second user variable subgroup; for each of the online advertising metrics, using a particular statistical model to calculate a statistical score based on the first and second metric values with respect to the online advertising metric and the first and second user variable subgroups; performing a split test on the first user variable subgroup and the second user variable subgroup; and splitting the user variable group into two separate user variable groups if the first and second variable subgroups pass the split test.

Abstract: A method is disclosed for sending targeted advertising data, the method including monitoring in a plurality of data communications networks, single sign on (SSO) subscriber event data from a first SSO subscriber end user device and a second SSO subscriber end user device, calculating product interest correlation scores in a plurality of advertising categories for an SSO subscriber advertising profile based on the monitoring SSO subscriber event data, selecting advertising data in at least one of the advertising categories from an advertiser database based on the SSO subscriber advertising profile, selecting a format to deliver the selected advertising data to a third SSO subscriber end user device and sending the targeted advertising data to the third SSO subscriber end user device. A system and a computer program are disclosed for performing the method. A data structure is disclosed for providing an interrelationship between a processor and data structure data.

Abstract: Techniques for estimating advertisement inventory for search retargeting segments are provided. A total inventory for each cluster of a plurality of clusters is estimated based on a history of previously viewed pages and previously used search keywords that were submitted by users is searches performed prior to accessing the previously viewed pages. A search retargeting (SRT) segment is received that includes a set of search keywords. The SRT segment is received in a request for deliverable advertisement inventory for advertisements associated with the SRT segment. A deliverable inventory for the received SRT segment is estimated based on the estimated total inventories for the clusters.

Abstract: An object of the present invention is to infer a user's preference or profile with a good precision. A user preference inferring apparatus 100 includes a receiving means 2 which receives information related to an article from a tag attached to the article, an article name determining means 3 obtaining an article name of the article on the basis of the information related to the article received by the receiving means 2, and a preference determining means 4 which infers a user's preference on the basis of the information related to the article received by the receiving means 2. On the basis of the article name obtained by the article name determining means 3, the preference determining means 4 obtains preference information corresponding to the article name from a database that stores the article name and the preference information corresponding to the article name, and determines the user's preference.

Abstract: An advertisement exchange obtains characteristics associated with multimedia advertisements such as commercial slots in a commercial pod, banners in a video, announcements in an audio program, etc. Characteristics may include demographic information, advertisement type, survey information, etc. Advertisement slots are offered with information on advertisement slot characteristics and may be selected, purchased, exchanged, and analyzed by advertisers, individuals, corporations, and firms. Advertisement slot characteristics may be changed in real-time as placement of advertisements in surrounding slots changes the characteristics of a particular slot. Advertisements may be automatically matched with advertisement slots based on advertisement slot characteristics and advertisement characteristics.

Abstract: A method and system for generating advertisement sets for keywords automatically extracted from data feeds is provided. An advertisement system receives various data feeds. The advertisement system may on a periodic or an ad hoc basis request a feed server to provide the latest feed having feed items. Each feed item may include a title, a description, and a link to an associated web site. To generate an advertisement set, which includes an advertisement, a keyword, and a link to a landing page, the advertisement system extracts a keyword from a feed item, identifies a category for advertising using the extracted keyword, generates an advertisement (or “creative”) for advertising that category, and generates a landing page link associated with the category. The advertisement system then submits the advertisement set to an advertisement placement service for placement along with content that is somehow related to the keyword.

Abstract: An advertisement exchange determines characteristics associated with advertisement slots such as slots in a commercial pod, locations on a printed page, banners in a video, billboards, etc. Characteristics may include demographic information, advertisement type, and neuro-response characteristics such as priming, attention, engagement, and retention. Advertisement slots are matched with advertisements and may be selected, purchased, exchanged, and analyzed by advertisers, individuals, corporations, and firms. In some examples, bids and offers are made for advertisement slots based on advertisement slot characteristics. Advertisement slot characteristics may be changed in real-time as placement of advertisements in surrounding slots changes the characteristics of a particular slot.

Abstract: A method and system to schedule delivery of items of content selectively to online users are described. Expected values relating to each user being online is determined during a given time period. An ordered list of the items of content to be selectively delivered to the users is generated based on the expected values. The ordered list may be prioritized to meet delivery requirements associated with the items of content.

Abstract: A method and communication system is provided to identify a calling/called party when the call is being set up but before the call is answered. In the method, a first terminal and a second terminal are respectively provided with opposing terminal's image data before the call is answered. The image data of the first and second terminals can be registered in a media server disposed between the first and second terminals, and the image data can be transmitted between the first terminal and the media server and between the second terminal and the media server in accordance with an SIP protocol.