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: Systems and methods for the forming of user device groups are presented. Logical relationship information describing logical relationships among a plurality of users is accessed and potential membership of a first user in a first group of users is determined based on the logical relationship information, by selecting the first group from a plurality of possible groups, the selecting being based on scores generated, for each of the plurality of possible groups, by a candidate scorer module, the first group of users containing a plurality of users, including one or more users who are not logically connected to the first user in the logical relationship information. Then, in response to the receiving of content, scores for each of the plurality of possible groups are generated based on the content, and the first user is added or removed from a second group of users selected from the plurality of possible groups based on the regenerated scores.

Abstract: A fact checking system verifies the correctness of information and/or characterizes the information by comparing the information with one or more sources. The fact checking system automatically monitors, processes, fact checks information and indicates a status of the information.

Abstract: Systems and methods for adding a first user to a first group of users are presented. First, logical relationship information describing logical relationships among a plurality of users is accessed. Then potential membership of a first user in a first group of users is determined based on the logical relationship information, by selecting the first group from a plurality of possible groups, the selecting being based on scores generated, for each of the plurality of possible groups, by a candidate scorer module, the scores based at least partially on both passive and active interactions between the first user and other users, the first group of users containing a plurality of users, including one or more users who are not logically connected to the first user. Then the first user is added to the first group of users.

Abstract: A machine may implement a recommender that provides recommendations to users. The machine may be configured to present a first version of the recommender configured by various parameters. A user may submit a message to the machine, and the machine may identify a parameter among the various parameters by tokenizing the message and identifying the parameter among the tokens. The machine may then generate a second version of the recommender by modifying the parameter and configuring the second version according to the modified parameter. The machine may then present the first and second versions of the recommender contemporaneously two different portions of the users. By tokenizing a further message received from the users, the machine may evaluate the first and second versions and determine whether the second version is a replacement of the first version.

Abstract: A system and method may optional include or utilize a processor configured to receive a request for social network content for display in a sponsored content position in a newsfeed of a social network interface, the position having a position criterion, identify a sponsored content item of multiple sponsored content items stored on a database based, at least in part, on a characteristic of the sponsored content item meeting the position criterion, a bid associated with the sponsored content item, and a scaling factor, wherein each of the sponsored content items correspond to one of multiple item types and at least two of the sponsored content items are of a different item type. The scaling factor for each of the sponsored content items is based on the item type of the corresponding one of the sponsored content items.

Abstract: Methods and systems of optimizing e-mail for mobile devices are described. In some embodiments, an e-mail message is caused to be displayed within an e-mail client on a mobile device. The e-mail message comprises a selectable link corresponding to a website action that can be performed on a website. A user on the mobile device is enabled to cause a performance of an e-mail action corresponding to the website action via the e-mail client without navigating to the website, such as via a new e-mail message generated within the e-mail client. A mobile link configured to cause the performance of the action via the e-mail client can be included in the e-mail message. A CSS pseudo-element can be included in CSS rules for the e-mail message. The CSS pseudo-element can be configured to generate mobile content associated with the mobile link.

Abstract: Structure of a resultant Every Document as a Graph (EVG) graph may be outlined using an EVG query. First metadata for a first data source may be retrieved. At least one entity key may be determined for a first entity, the entity key coming directly from the EVG query or from an entity on a preceding level of the EVG graph. Based on the first metadata and entity key, an edge may be created in the EVG graph beginning at the first entity, wherein the edge contains information retrieved from the first data source. Second metadata for a second data source may be retrieved. Based on the second metadata and information contained in the edge retrieved from first data source, a second entity may be created in the EVG graph, wherein the edge connects to the second entity, wherein the second entity contains information retrieved from the second data source.

Abstract: Systems and methods for the forming of user device groups are presented. In one example, logical relationship information between a first user and other users are recorded. Communications between the first users and other users are monitored, and content is received from the first user, the content having associated metadata. A first group to add the first user to is determined based on the logical relationship information, the communications, the content, and the metadata.

Abstract: According to various exemplary embodiments, it is determined that a particular user is associated with a particular member segment of a networking website. Further, a task prioritization list associated with the particular member segment is accessed. The task prioritization list may include a prioritized list of profile update tasks associated with successful user profile pages of the particular member segment. Moreover, a prompt is displayed inviting the particular user to update the particular user profile page based on the task prioritization list (e.g., by referring to the member segment and at least one of the tasks in the task prioritization list).

Abstract: Methods and systems of managing settings are described. According to various embodiments, a settings page corresponding to a user's settings on an online service may be caused to be displayed on a device. The settings page may comprise selectable category setting options for a setting category. The setting category may have a plurality of subcategories, and each subcategory may have its own selectable subcategory setting options. Each one of the category setting options may correspond to its own distinct configuration of subcategory setting options for its subcategories. A user input indicating a selection of one of the category setting options for the setting category may be received. The configuration of subcategory setting options corresponding to the selected one of the category setting options for the setting category may be applied to the user's settings on the online service.

Abstract: The disclosed embodiments provide a method and system for processing data. During operation, the system obtains a set of records, wherein each of the records comprises one or more metrics and at least one dimension associated with the one or more metrics. Next, the system creates a data segment comprising at least one of a forward index and an inverted index for a column in the records. The system then stores the data segment in network-accessible storage and assigns the data segment to a partition. Finally, the system enables querying of the data segment through a query node associated with the partition.

Abstract: A system may include a database configured with individual partitions, one of the partitions corresponding to a sponsored content campaign of a social network. The system may further include multiple servers each communicatively coupled to the database, and each configured to implement a campaign having a campaign termination criterion. Each of the servers may include a processor configured to track sponsored content event data received from a user device based on the campaign and transmit the event data to the database and terminate the campaign based on a comparison of the event data as received from a partition of the database corresponding to the campaign and an estimation of event data not received from the database. The database may be configured to store the event data as received from the servers in the partition corresponding to the campaign upon receipt of the event data.

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: Systems and methods for the forming of user device groups are presented. In one example, a message received at a user device from a server system, the message indicating that a user of the user device has been added to a logical group of users. Then content may be transmitted from the user device to the server system for distribution to the logical group of users. Then, in response to a determination that the user device has been out of communication with the server system for a predetermined period of time, a determination is made, utilizing a coasting module on the user device, that the user should be removed from the logical group of users based on a factor other than a length of time the user device has been out of communication with the server system.

Abstract: Systems and methods for adding a first user to a first group of users are presented. First, logical relationship information describing logical relationships among a plurality of users is accessed. Then potential membership of a first user in a first group of users is determined based on the logical relationship information, by selecting the first group from a plurality of possible groups, the selecting being based on scores generated, for each of the plurality of possible groups, by a candidate scorer module, the scores based at least partially on a loneliness score for the first user. Then the first user is added to the first group of users.

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: Techniques for populating a content stream of a mobile application are described. Consistent with some embodiments, the delays associated with waiting for a server to respond to a user's manual request for content items are eliminated by using various sensors of a mobile computing device to predict when a user is likely to view a personalized content stream. Accordingly, a background process identifies when certain conditions are satisfied, and an automatic content request is communicated to a content server, such that content items for presentation to a member of a social networking service are pre-fetched.

Abstract: Content is received from a first user. Then, in response to the receiving, logical relationship information describing logical relationships among a plurality of users is accessed and potential membership of the first user in a first group of users is determined based on the logical relationship information, by selecting the first group from a plurality of possible groups, the selecting being based on scores generated, for each of the plurality of possible groups, by a candidate scorer module. Then, in response to a determination that the first group has a score from the candidate scorer module that does not meet a preset threshold, a new group is created comprising users that are located proximate to each other. The content received from the first user is forwarded to other users of either the first group or the new group, based on the threshold determination.

Abstract: A system, method, and apparatus are provided for organizing and joining massive sets of data (e.g., tens or hundreds of millions of event records). A dataset is Blocked by first identifying a partition key, which comprises one or more columns of the data. Each Block will contain all dataset records that have partition key values assigned to that Block. A cost constraint (e.g., a maximum size, a maximum number of records) may also be applied to the Blocks. A Block index is generated to identify all Blocks, their corresponding (sequential) partition key values, and their locations. A second dataset that includes the partition key column(s) and that must be correlated with the first dataset may then be Blocked according to the same ranges of partition key values (but without the cost constraint). Corresponding Blocks of the datasets may then be Joined/Aggregated, and analyzed as necessary.