Abstract: Method and apparatus for converting a document from a fixed-layout format (e.g., Microsoft Office, Adobe PDF) into a non-fixed layout format (e.g., HTML) portable to different platforms (e.g., desktop computers, tablet computer, smart phones) operating different operating systems (e.g., Microsoft Windows, Apple OS X) and different web browsers (e.g., Microsoft Internet Explorer, Apple Safari, Mozilla FireFox). In one stream, fonts are identified, extracted, and processed to enhance compatibility with the portable format. In another stream, textual content is extracted and processed to enhance compatibility and images are taken of non-textual content. These images are used as backgrounds in the output document, over which the textual content is rendered in the appropriate fonts, with sizing, spacing, positioning and/or other characteristics matching or closely approximating that of the original document.

Abstract: Indicating preference for a content contribution is disclosed. A request for information associated with the content contribution is received from a first entity. The status of the content contribution is determined. A response is provided to the first entity. Determining the status of the content contribution includes determining whether a submission of the content contribution was previously received.

Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: In an example, disclosed is a machine automated method of identifying a set of skills. In some examples, the method includes extracting a plurality of skill seed phrases from a plurality of member profiles of a social networking site, creating a plurality of disambiguated skill seed phrases by disambiguating the plurality of skill seed phrases using one or more computer processors, and de-duplicating the plurality of disambiguated skill seed phrases to create a plurality of de-duplicated skill seed phrases.

Abstract: Systems and methods for the forming of user device groups are presented. In one example, a message including location information indicating a geographic location of a first user device is received from the first user device. Values representing logical connection strengths between the first user device and other user devices are calculated using the location information. A first device group is determined for the first user device based on the calculating of the values representing the logical connection strengths, the first device group including a plurality of the other user devices.

Abstract: A method for migrating information, and a migrator for migrating information, are disclosed. The method may include extracting organizational information from at least two service providers, accessing a first at least one of the at least two service providers upon selection of a migration selection interface by the user, receiving of a first plurality of information related to the user from one of the service providers, accessing a second at least one of the at least two service providers, and writing the first plurality of information to the second at least one of the at least two service providers.

Abstract: Example systems and methods of content sharing via social networking are presented. In one example, availability of a first user device to provide media content over a communication network is detected. A second user device is identified via an association of the first user device with the second user device that is specified in a social network. An acceptance by the second user device to receive the media content from the first user device is determined. In response to the acceptance, transmission of the media content provided by the first user device over the communication network to the second user device is initiated.

Abstract: Displaying a preference by a user of a content contribution is disclosed. A preference event by the user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is stored. At least a portion of the received events is displayed in an interface.

Abstract: Systems and methods for the forming of user device groups are presented. In one example, a message including location information indicating a geographic location of a first user device is received from the first user device. Values representing logical connection strengths between the first user device and other user devices are calculated using the location information. A first device group is determined for the first user device based on the calculating of the values representing the logical connection strengths, the first device group including a plurality of the other user devices.

Abstract: Example systems and methods of content sharing via social networking are presented. In one example, availability of a first user device to provide media content over a communication network is detected. A second user device is identified via an association of the first user device with the second user device that is specified in a social network. An acceptance by the second user device to receive the media content from the first user device is determined. In response to the acceptance, transmission of the media content provided by the first user device over the communication network to the second user device is initiated.

Abstract: Systems and methods for the forming of user device groups are presented. In one example, a message including location information indicating a geographic location of a first user device is received from the first user device. Values representing logical connection strengths between the first user device and other user devices are calculated using the location information. A first device group is determined for the first user device based on the calculating of the values representing the logical connection strengths, the first device group including a plurality of the other user devices.

Abstract: A notification machine may receive an update to a user profile that describes a user and indicates a group of users as being socially connected to the user by a social network. The update may reference a community (e.g., an employer or a club) of the user. The user profile may be modified by including a reference to the community within the user profile. The notification machine may identify a further user who is included in the community (e.g., employed by the employer, or part of the club). The further user may be socially unconnected to the user by the social network. The notification machine may then generate and provide a notification that the further user is employed by the employer. This notification may contain suggestions that the user initiate communication with the further user, become socially connected with the further user, or both.

Abstract: A system may receive, at least in part from an update database, a plurality of updates to a plurality of profiles that individually describe ones of a plurality of users of a social network. The system may process, using a batch processor, at least some of the plurality of updates to generate a consolidated update indicative of a status of at least some of the plurality of profiles. The system may transmit the consolidated update to the update database. The system may display the consolidated update on an update stream of the social network corresponding to at least one of the plurality of users.

Abstract: A method and system for evaluating the reputation of a member of a social networking system is disclosed. Consistent with an embodiment of the invention, one or more attributes associated with a social networking profile of a member of a social network are analyzed. Based on the analysis, a ranking, rating or score is assigned to a particular category of reputation. When requested, the ranking, rating or score is displayed to a user of the social network.

Abstract: A method and system for evaluating the reputation of a member of a social networking system is disclosed. Consistent with an embodiment of the invention, one or more attributes associated with a social networking profile of a member of a social network are analyzed. Based on the analysis, a ranking, rating or score is assigned to a particular category of reputation. When requested, the ranking, rating or score is displayed to a user of the social network.

Abstract: Recording a user's preference for content is disclosed. An indication of a problem associated with the content is received, in response to only a single action taken by a user interacting with a web page. After receiving the indication, at least a portion of the web page is continued to be displayed.

Abstract: Indicating preference for a content contribution is disclosed. A request for information associated with the content contribution is received from a first entity. The status of the content contribution is determined. A response is provided to the first entity. Determining the status of the content contribution includes determining whether a submission of the content contribution was previously received.

Abstract: The present disclosure relates to methods and systems for recommending a context to a user of a social network service, based on detecting an interaction with some item of web content. With some embodiments, after detecting an interaction with a web document, a topic to which the web document is related is determined. A context, such as an online or offline forum, known to be associated with the topic is then identified. Finally, the identified context is presented to the user as a recommendation for a content source that is likely to be of interest to the user.

Abstract: Some embodiments of the present invention provide a mechanism for displaying in conjunction with a display advertisement one or more social network notifications or business network notifications generated from an online or web-based social/business networking service. The social/business network notifications displayed to a particular user generally include content that is associated with persons to whom the particular user is connected via a person-to-person connection established via the social/business networking service, and content that has some nexus to the display advertisement. In some instances, the network notification may relate to an interaction that a user has had with one or more services provided by the business or social networking service.

Abstract: A method and system for evaluating the reputation of a member of a social networking system is disclosed. Consistent with an embodiment of the invention, one or more attributes associated with a social networking profile of a member of a social network are analyzed. Based on the analysis, a ranking, rating or score is assigned to a particular category of reputation. When requested, the ranking, rating or score is displayed to a user of the social network.

Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: Detecting, for a content item, associated preference events is disclosed. For the content item, a plurality of preference events from a plurality of users is received. The received preference events are accumulated. Associated events are detected. The effect of the events is reduced when assigning a status to the item.

Abstract: Displaying a preference by a user of a content contribution is disclosed. A preference event by the user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is stored. At least a portion of the received events is displayed in an interface.

Abstract: Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.

Abstract: The present disclosure relates to methods and systems for recommending a context to a user of a social network service, based on detecting an interaction with some item of web content. With some embodiments, after detecting an interaction with a web document, a topic to which the web document is related is determined. A context, such as an online or offline forum, known to be associated with the topic is then identified. Finally, the identified context is presented to the user as a recommendation for a content source that is likely to be of interest to the user.

Abstract: The present disclosure relates to methods and systems for clustering individual items of web content, and then utilizing activity and profile data to both select clusters of content items for presentation to a user, and determining how the selected clusters of content items are presented to the user of an online social network service. With some embodiments, the activity data are derived by monitoring and detection interactions with the individual items of web content by an individual user, or other users with whom the individual user is related, as established via, and defined by, the social network service.

Abstract: A network update interface is presented to a user on a network to display network updates from other users of a mutual social-networking site. The network updates shared by the other users are gathered in a stream and supplied to a facet-filtering system including a network update interface. The user controls the display of certain network update items according to facet-filter characteristics enabled in facet-filter selection panels in the network update interface. The facet-filter characteristics are used by a facet filter to select certain network updates for display to the user in the network update interface. Trending links to further articles with content corresponding to the facet-filter characteristics are displayed to the user according to greatest popularity among the other users. Links to the profiles of the users sharing the articles are also provided in the network update interface.