Abstract: Topical affinity badges in information retrieval is described, for example, where graphical elements are presented together with ranked search results from a search engine, to indicate a degree of association between an author of a document and a topic. In various embodiments, a measure of an author's affinity to a topic is predicted using a machine learning system that takes as input author features derived from documents of the author. In various examples topical affinity scores or labels are used to generate badges and/or to index documents at an index of a search engine. For example, badges may be presented with ranked search results, in pop up displays or in other ways. In examples author features relating to any of recency, frequency and presentation of an author's documents are generated, where presentation features may relate to biographical information such as experience, qualifications, and previous documents.

Abstract: A social marketing system may have an incentive system that may be optimized dynamically for each user during the course of a marketing campaign. The social marketing system may use a simulated model of social interactions to predict the performance of a marketing campaign and may use the output of the simulation to adjust incentives during a campaign for various users, as well as use the actual results of changes in incentives as feedback to the simulation. The simulation may assume several different types of users within the social network and that several types of financial and non-financial incentives may be applied to different users. Some embodiments may use machine learning algorithms to analyze actual results and feed those results into the simulation. The system may be able to categorize users into the simulated types and adjust incentives according to the models associated with those types of users.

Abstract: Online sellers may be ranked based on feedback given by people trusted by an individual user. The user may trust people in their social networks, as well as people who may be experts in a particular field, and the seller's ranking may be calculated by weighting reviews or feedback from trusted people higher than people unknown to the user. When used with a social campaign management system, ranking of products from multiple online sellers may include coupons or incentives that are available through the user's social network, as well as discounts or incentives that may be targeted to the user's status within their own social network.

Abstract: A social marketing system may measure the performance of marketing campaigns using the effective click through rates that include impressions that are due to propagation of items through social networks. A social marketing system may track an initial effectiveness in starting a campaign, as well as track the propagation of the campaign information through multiple social networks. The effectiveness of the campaign may be measured using the effective click through rates for various target audiences. The social marketing system may create links to advertising materials and thereby track interactions when users click through the links to interact with the materials. The effectiveness of the social media campaign may be based in part by measuring the actual or estimated number of impressions through social media networks.

Abstract: Security risk for a single IT asset and/or a set of IT assets in a network such as an enterprise or corporate network may be estimated and represented in a visual form by categorizing risk into different discrete levels. The IT assets may include both computing devices and users. The risk categorization uses a security assessment of an IT asset that is generated to indicate the type of security problem encountered, the severity of the problem, and the fidelity of the assessment. The asset value of an IT asset to the enterprise is also assigned. Security risk is then categorized (and a numeric risk value provided) for each IT asset for different problem types by considering the IT asset value along with the severity and fidelity of the security assessment. The security risk for the enterprise is estimated using the numeric risk value and then displayed in visual form.

Abstract: A social marketing system may reward and incentivize participants, and may also have a fraud detection system. The manager may create social marketing campaigns that may be simulated to determine an expected set of activities, which may be compared to an actual set of activities. A fraud detection system may detect abnormal activity and may bring the activity to a manager's attention and may also punish the participants by withholding rewards, lowering the participant's reputation, or some other punishment mechanism.

Abstract: A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's reputation may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.

Abstract: A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's expertise may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.

Abstract: Social influencers may be identified for specific usage contexts and for influencer type. Influencers may be categorized by mavens, connectors, salesmen, or other categories. Within each usage context, a unified data model may be used to collect data from multiple sources, including multiple social networks, as well as to collect data from different levels of influencers in each usage context. The relevance of various communication media as well as the frequency and quality of use of the media may be factors used to determine a person's effectiveness as a specific type of influencer within a usage context.

Abstract: Methods, systems, and computer-readable media for search query extension are disclosed. A particular method retrieves a set of queries related to a search query from a query repository. The search query includes one or more search words and at least one search word is included in each query in the set of queries. A set of context words based on one or more computer-readable files accessible to a computer is generated and an intersection is calculated. The intersection is based on the set of queries and the set of context words. An extended search query is generated based on the calculated intersection and the search query.

Abstract: Techniques for determining a set of keywords associated with a document are provided. A document is received that may be classified into a taxonomy that includes a plurality of categories. A categorization ranking is determined for each category for the received document. A set of categories of the taxonomy having highest categorization rankings is determined for the received document. Documents representing the set of categories having highest categorization rankings are combined together into a cumulative representative text that includes a plurality of terms. A cumulative term corpus importance score is determined for each term in the cumulative representative text. The cumulative term corpus importance score for a particular term indicates an importance of the particular term in a context of the cumulative representative text. A set of terms of the cumulative representative text having highest cumulative term corpus importance scores is selected to be keywords for the received document.

Abstract: A social incentive system is described herein that formalizes information propagation through social networks in a structured and systematic way. The system provides incentives and rewards to entities who participate in propagating the information, allowing heavy influencers to gain from their influence while the marketer rewards them. The system provides one or more tools for creation and design of social incentive plans with rewards for socially distributing information, including marketing campaigns. In particular, the system introduces a semantic framework where marketers can create structured incentive plans for rewarding consumers and distribution platforms for distributing information through social networks. As users complete specified activities they earn points, and the points can be redeemed for various incentives, such as cash, debit cards, prizes, merchandise, subscriptions, and so forth. The framework is robustly designed to avoid abuse and allow for fraud detection.

Abstract: A social marketing manager may facilitate marketing campaigns in online social networks by creating and monitoring campaigns, as well as facilitating online social interactions. A campaign manager may create a campaign and define various operational parameters. A recruitment system may identify social influencers through which the campaign may be started, and a promotion manager may create and track objects that may be passed to participants in the campaign. An analysis and monitoring system may determine the overall effectiveness of the campaign and provide feedback, payments to participants, or other results of the campaign.

Abstract: A honeypot in a computer network is configured for use with a wide variety of computing resources that are defined by a network administrator or user which may include desktop and network resources such as address book contacts, instant messaging contacts, active directory user accounts, IP addresses, and files that contain particular content or that are stored in particular locations. The resources may be real for which protection against leakage is desired, or fake to operate as bait to lure and detect malicious attacks. The honeypot is implemented in an extensible manner so that virtually any resource may be honeypotted to apply honeypot benefits to resources beyond static IP addresses in order to improve both the breadth of information leakage prevention and the detection of malicious attacks.

Abstract: Systems, methods, and computer storage media having computer-executable instructions embodied thereon that provide contextual indicators associated with a user session are described. Content items within a document associated with a user session are selected. Upon receiving an indication that the user desires to perform a context-aware search, the document associated with the user session is analyzed for contextual information related to the content items selected by the user. Various “contextual indicators” associated with the user session are derived. The contextual indicators are provided for output in association with the user session. The contextual indicators may be fed to a search engine and used to identify search results that the user has an increased likelihood (relative to the current context surrounding the user) of desiring to access.

Abstract: Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.

Abstract: A social network marketplace may monitor communications between an advertiser and a consumer by generating signatures for communications and tracking those signatures through social network communications until a sale may be consummated. The marketplace may monitor the transactions to determine a user's influence on other users. A user's influence may also be determined or supplemented by monitoring formal or informal social interactions performed on a computer when those communications are able to be monitored. The influence information may be used to select outbound advertisements to those users who may benefit from an advertisement, as well as to filter inbound advertisements to suit a user or a user's situation.

Abstract: A document may be classified by traversing a hierarchical classification tree and comparing the words in the document to words in documents representing the nodes on the classification tree. The document may be classified by traversing the classification tree and generating a comparison score based on word comparisons. The score may be used to trim the classification tree or to advance to another node on the tree. The score may be based on a scarcity or importance of individual words in the document compared to the scarcity or importance of words in the category. The result may be a set of classifications with scores for those classifications.

Abstract: A recommendation system may use a network of relationships between many different entities to find search results and establish a relevance value for the search results. The relevance value may be calculated by analyzing trust and similarity components of each relationship between the search user and the entity providing the search results. The entities may be, for example, persons associated within express or implied social networks, or corporations or other organizations with a historical or other reputation. The relationships may be created through many different contact mechanisms and may be unidirectional, asymmetric bidirectional, or symmetric bidirectional relationships. The relationships may be different based on topic or other factors.

Abstract: Methods, systems, and computer-readable media for search query extension are disclosed. A particular method retrieves a set of queries related to a search query from a query repository. The search query includes one or more search words and at least one search word is included in each query in the set of queries. A set of context words based on one or more computer-readable files accessible to a computer is generated and an intersection is calculated. The intersection is based on the set of queries and the set of context words. An extended search query is generated based on the calculated intersection and the search query.