Patent application number | Description | Published |
20110320454 | MULTI-FACET CLASSIFICATION SCHEME FOR CATALOGING OF INFORMATION ARTIFACTS - A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage. | 12-29-2011 |
20130006758 | USER FEEDBACK-BASED SELECTION OF ONLINE ADVERTISEMENTS USING NORMALIZED COST MODIFIERS - Advertisements to be presented to a user are selected based on feedback responses received from other users where the feedback responses represent the level of interest to the advertisements expressed by the other users. In selecting which advertisements to be presented to a user, the online service takes into account feedback responses previously collected from a group of users and revenue expected for presenting certain advertisements to the user. An online service computing device computes a total value of an advertisement based on an estimated revenue value for presenting an advertisement and a modifier representing the user's estimated interest in the advertisements. The modifier is normalized based on a market value of the corresponding advertisement or a user. The online service then selects or prioritizes the advertisements based on the total values. | 01-03-2013 |
20130085858 | TARGETING ADVERTISEMENTS BASED ON USER INTERACTIONS - In a social networking system, users may perform different types of actions with respect to objects (e.g., for a song, a user can buy, listen to, recommend, or like the song). Objects on the social networking system may include object properties (e.g., for a song, an artist, genre, and album are the song's object properties). Each type of action performed on a type of object may be aggregated in a different way. Actions may be performed on objects by users through the social networking system, a third-party application installed on the social networking system, and systems external to the social networking system. An advertiser may specify targeting criteria based on multiple different action types and aggregations of an action with respect to a particular object. Users may be categorized based on their interactions with objects having a common element. Ads may then be targeted to the categorized users. | 04-04-2013 |
20130085859 | Targeting Advertisements Based on User Interactions - In a social networking system, users may perform different types of actions with respect to objects (e.g., for a song, a user can buy, listen to, recommend, or like the song). Objects on the social networking system may include object properties (e.g., for a song, an artist, genre, and album are the song's object properties). Each type of action performed on a type of object may be aggregated in a different way. Actions may be performed on objects by users through the social networking system, a third-party application installed on the social networking system, and systems external to the social networking system. An advertiser may specify targeting criteria based on multiple different action types and aggregations of an action with respect to a particular object. Users may be categorized based on their interactions with objects having a common element. Ads may then be targeted to the categorized users. | 04-04-2013 |
20130124297 | MULTI-DIMENSIONAL ADVERTISEMENT BIDDING - An online advertising system receives ads from advertisers, which may also provide associated budgets, time period constraints, impressions goals, and performance weightings for the ads. When an ad is requesting from the advertising system from a client, a bid may be determined for each ad based on the budget associated the ad and/or the impressions goal associated with the ad. Ad performance associated with the ad request may be predicted, and a bid may be determined for each ad based on the performance weightings and the predicted performance associated with the ad request. The bid for an ad may be weighted by the pace of budget consumption by the ad, or by the pace of the ad progressing towards the ad's impression goal. An ad is selected for display to the client from among the one or more ads based on the determined bids for the ads. | 05-16-2013 |
20130124298 | GENERATING CLUSTERS OF SIMILAR USERS FOR ADVERTISEMENT TARGETING - A social networking system may identify a first set of users as part of a training cluster and identify a second set of users that is similar to the first set of users for purposes of targeting advertisements related to the advertiser. Using past engagement history (e.g., click-through rates), demographic information, and keywords associated with the training cluster of users, a social networking system may generate a training model specific to the training cluster. Confidence scores may be used to identify similar users across the total population of users of the social networking system for creating a targeting cluster of users for the advertisement. A revenue sharing scheme may be used induce page administrators to increase their fan base by enabling advertisers to target advertisements to users that have expressed interest in pages associated with the page administrators. | 05-16-2013 |
20130138514 | ADVERTISEMENTS WITH MULTIPLE TARGETING CRITERIA BIDS - An advertising system may enable an advertiser to associate multiple targeting criteria bids with an advertisement. The targeting criteria bids include a bid amount and a targeting criteria defining a group of users who may be delivered the advertisement. The cost for the advertisement is the sum of the bid amounts associated with the targeting criteria that match the user profile of the viewing user. | 05-30-2013 |
20130151332 | ASSISTED ADJUSTMENT OF AN ADVERTISING CAMPAIGN - An ad publishing system provides ads of an advertiser's advertising campaign to a target group specified by initial targeting criteria. The publishing system evaluates results of advertising metrics for various segments of the target group based on user reactions to the initial presentation of the ads. Based on the advertising metric results for the various segments, the publishing system suggests to the advertiser a modification of the advertising campaign. Possible modifications to the advertising campaign include narrowing the initial targeting criteria to specify at least one of the segments as the target group, specifying a different ad for a low-performing segment, and adjusting the value of a bid for display of the ads in the campaign. | 06-13-2013 |
20130232012 | TARGETING ADVERTISEMENTS TO GROUPS OF SOCIAL NETWORKING SYSTEM USERS - Embodiments of the present disclosure target advertising to a group of related users of a social networking system. To target advertising to a group of users, the social networking system receives targeting criteria specifying a group to receive an advertisement at substantially the same time. To identify a group of users of the social networking system satisfying the targeting criteria, the social networking system observes the interactions of connected social networking system users. Connected users interacting with each other in a manner that satisfies the targeting criteria may be added to a group. The social networking system serves the advertisement to a set of users included in the group because the served users are members of the group. | 09-05-2013 |
20140012659 | MODIFYING TARGETING CRITERIA FOR AN ADVERTISING CAMPAIGN BASED ON ADVERTISING CAMPAIGN BUDGET - A social networking system modifies targeting criteria for an advertising campaign received form an advertiser using performance of completed advertising campaigns with similar characteristics. Completed advertising campaigns having similar targeting criteria to a received advertising campaign are identified. For example, completed advertising campaigns with targeting criteria matching, or associated with, targeting criteria from the received advertising campaign are identified. The social networking system determines an estimated amount to spend on the received advertising campaign based on the amount spent for the completed advertising campaigns, the social networking system. A received budget for the received advertising campaign is compared to the estimated amount to spend, and the social networking system may suggest modifications to the targeting criteria to optimize use of the budget based on performance of the completed advertising campaigns. The suggestion may be sent to an electronic device associated with the advertiser. | 01-09-2014 |
20140089400 | INFERRING TARGET CLUSTERS BASED ON SOCIAL CONNECTIONS - A seed cluster comprising a group of users who share a particular attribute and/or affiliation is determined by a social networking system. For each user of the seed cluster, other users and/or entities connected to the user in the social networking system are retrieved. For each retrieved other user or entity, the social networking system may determine whether the other user or entity exhibits the attribute or affiliation based on a random walk algorithm. A resulting targeting cluster of users and/or entities may be used for targeting advertisements targeting to members. A social networking system may also infer an affiliation for a user based on the user's interaction with a page, application, or entity where other users who interacted with the same page, application, or entity have the same affiliation. | 03-27-2014 |
20140207568 | BIASING SELECTION OF ADVERTISING BASED ON REAL-TIME USER INTERACTIONS IN A SOCIAL NETWORKING SYSTEM - A social networking system receives advertisement requests from advertisers describing information about advertisements and determines one or more ad topics associated with the advertisements. When an advertisement is to be presented to a user, the social networking system determines one or more topics associated with the user from actions performed by the user and identifies candidate advertisements having ad topics matching, or similar to, the topics associated with the user. The topics associated with the user may be determined based on the user's most recent actions. One or more of the candidate advertisements are selected for presentation to the user. | 07-24-2014 |
20140222802 | SELECTING SOCIAL CONTEXT FOR SPONSORED STORIES IN A SOCIAL NETWORKING SYSTEM - A viewing user is provided with sponsored stories describes actions of a user connected to the viewing user associated with an object promoted by an advertiser or actions otherwise promoted by the advertiser. Based on a performance metric, the social networking system selects the user or action to be described by the sponsored story. For example, the social networking system ranks candidate sponsored stories describing different actions or users and selects a candidate sponsored story to increase the likelihood of a viewing user interacting with the selected candidate sponsored story. | 08-07-2014 |