Abstract: In order to dynamically generate customized content, a set of format options for a document (including layout and/or ordering) may be defined and user behaviors in a social network associated with different versions of the document may be tracked. For example, the user behaviors may include a number of views of the document, a percentage of the document viewed and/or a viewing time of the document. This customization technique allows feedback based on user behaviors to guide revisions to the format of the document, such as selecting different format options for particular subgroups of the users (which may even be individually specific). The resulting customized content can be presented concurrently, so that different users can view different versions of the same document at the same time.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains an attribute of a stack trace of a software program. Next, the system uses the attribute to select an address-translation instance from a set of address-translation instances for processing the stack trace. The system then provides the stack trace to the selected address-translation instance for use in translating a set of memory addresses in the stack trace into a set of symbols of instructions stored at the memory addresses.

Abstract: The disclosed embodiments provide a system for detecting and managing memory inefficiency in a software program. During operation, the system obtains a first snapshot of a heap for a software program, wherein the first snapshot includes a first set of objects stored in the heap at a first time. Next, the system applies a compression technique to the first snapshot to obtain a first set of inefficiency metrics for the first set of objects, wherein each inefficiency metric in the first set of inefficiency metrics represents a memory inefficiency of an object in the heap at the first time. The system then outputs the first set of inefficiency metrics with additional attributes of the first set of objects to improve identification of the memory inefficiency in the software program.

Abstract: An Internet-based system capable of automatically maintaining contact-related information in any computer software application or digital device which stores or manages contact-related information. More particularly, the system allows users to automatically enter and maintain contact-related information in a digital address book or similar application or device (such as a wireless phone or PDA) with minimal or no manual entry of the contact-related information by the user. The system also allows contacts of the user (i.e. people who's contact information or partial contact information is present in the user's address book application) to make corrections to their contact-related information contained in the user's address book, request reciprocal contact information from the user, deny the user access to additional or corrected contact-related information and take other actions relative to managing the contact-related information which others (users) have about them.

Abstract: A method of providing one or more snapshots extracted from video footage includes displaying a first image in a first display area. The first image is associated with a first capture time. The method also includes displaying a first plurality of preview images in a second display area. The first plurality of preview images are associated with times prior to the first capture time. The method further includes displaying a second plurality of preview images in a third display area. The second plurality of preview images are associated with times subsequent to the first capture time. Moreover, the method includes selecting at least one of the first image, one of the first plurality of preview images, or one of the second plurality of preview images and saving the selected image to a memory.

Abstract: In order to facilitate the requesting of desired information from a graph database that stores a graph, a system may translate an initial query into a query that can be executed against the graph database. In particular, using primitives, the system may translate a query associated with a type of database (such as a relational database) into the query. The graph may include nodes, edges between the nodes, and predicates to represent and store data with index-free adjacency. Moreover, the primitives may include: a rule based on edges in the graph that expresses a relational schema in the type of database, and information associated with a compound key that specifies a relationship between nodes, edges and predicates in the graph corresponding to a table in the type of database. Then, the system may execute the query against the graph database, and may receive a result that includes a subset of the graph.

Abstract: Techniques for ascribing social attributes to content items and for selecting content to display in a content feed are described. According to various embodiments, accessing one or more content items accessible via a network are accessed, each of the content items having received one or more social activity signals. Thereafter, members of an online social network service that submitted the social activity signals may be identified. Member profile data identifying member profile attributes of the members cemented the social activity signals may then be accessed. Thereafter, social attribute information may be generated and associated with each of the content items, the social attribute information identifying the member profile attributes of the members that submitted the social activity signals associated with each of the content items.

Abstract: A system, method and computer program product are provided for managing a distributed computing system that features multiple hosts executing a distributed application. On each host a collector process collects application-level and/or system-level metrics and reports them to a data repository. A controller executes actor processes that compare the metrics, and/or trends in the metrics, to predetermined thresholds. If a threshold is met or passed, the corresponding actor or the controller initiates one or more remedy processes that take action intended to alleviate the condition detected by the actor. When a remedy is triggered, the controller takes a snapshot of the system to identify the current state, and saves information indicating how well the executed remedies corrected the situation. When a new snapshot matches an existing snapshot, the controller uses the saved information to determine which remedies to apply to the present occurrence of the mutual state.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of records from a set of inputs, with each record containing an entity key, a partition key, and one or more attribute-value pairs. For each attribute-value pair in the records, the system maps an attribute name in the attribute-value pair to a unique identifier for the attribute name and replaces the attribute name with the unique identifier. The system then identifies a subset of the records with a matching entity key and a matching partition key and merges the subset of the records into a single record that includes the matching entity key, the matching partition key, and a single field containing a list of attribute-value pairs from the subset of the records. Finally, the system provides the single record and the mapping for use in querying from a centralized source.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a current window of one or more intervals of time-series data collected from a monitored system. Next, the system continuously performs a statistical hypothesis test that compares the one or more intervals of the time-series data with baseline values from historic time-series data associated with the monitored system. When the statistical hypothesis test indicates a deviation of the time-series data from the baseline values, the system outputs an alert of an anomaly represented by the deviation.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a component of a time-series performance metric associated with a server-side root cause of an anomaly in the time-series performance metric. Next, the system obtains a call graph representation of the component, wherein the call graph representation includes a parent node having a parent value of the component and a set of child nodes of the parent node, each child node having a corresponding child value of the component. The system then analyzes the call graph representation to identify one or more of the child nodes as sources of the anomaly. Finally, the system outputs an alert that identifies the sources of the anomaly.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of components of a time-series performance metric associated with an anomaly in a performance of one or more monitored systems. For each component in the set of components, the system performs a statistical hypothesis test on the component to assess a deviation of the component from a baseline value of the component. When the statistical hypothesis test identifies a statistically significant deviation of the component from the baseline value, the system outputs an alert comprising a root cause of the anomaly that is represented by the statistically significant deviation of the component from the baseline value.

Abstract: A device, system, and method may include an electronic data storage configured to store social network data related to use of the social network by users. A processor, coupled to the electronic data storage, may be configured to determine a recommended action that a member of the social network may take to increase a likelihood of at least one of the uses of the social network to access a social network content item related to the member and determine an estimated statistical change in a rate at which the users may access the social network content item if the recommended action were implemented by the member based, at least in part, on the social network data stored in the electronic data storage.

Abstract: In order to leverage annotation bias in batch annotations, obtained via crowdsourcing, on a set of comments on user posts in a social network, a system may select a subset of the comments for annotation based on how informative expected annotations for the comments in the subset are for the one or more classifiers and probabilities of occurrence of the expected annotations based on a predetermined annotation probability distribution. Note that the classifier may predict how likely the expected annotations are accurate for the comments in a given subset. Moreover, the predetermined annotation probability distribution may specify the annotation bias. In this way, the system may use the annotation bias to select the subset that is likely to receive expected annotations and, thus, are that are easier to use in training the classifier.

Abstract: A daily connection facility is available to the user either through a webpage or by e-mail in the form of a synopsis of connection identifiers between the user and their contacts. The web-based version presents connection information in the form of an agenda view, an engage view, and a reminder view. Each view type is selectable by corresponding tab on the webpage. The daily connected e-mail presents an agenda of meetings and events by location, title, and time. The daily connected e-mail also presents interesting profile and connection information about the attendees such as their communications in blogs and postings, recent communications with user, including messages and meetings, as well as contact information and a list of other contacts in common.

Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which provide a relevance engine for determining a relevance of an individual (either a non-member or another member) to another individual (either a non-member or another member). This relevance engine may use signals in the form of data that the social networking service may learn about the individuals to determine how relevant the individuals are to each other. Example applications may include ordering of connection invitations in a social networking service.

Abstract: A method of using mobile devices of participants of a meeting to facilitate a meeting is disclosed. It is identified that a group of two or more people are conducting the meeting. Information about the group of the two or more people is collected based on a relevance of the information to a context of the meeting. At least a portion of the information is transmitted for presentation in a user interface of a mobile device of each member of the group to facilitate the meeting.

Abstract: Systems and methods for presenting recommendations for resources to be used by members in learning about and/or acquiring a skill are described. In some example embodiments, the systems and methods receive information associated with a skill from a member of a social network, identify members of the social network that are associated with the skill, receive information from the identified members of the social network that identifies one or more resources associated with the skill, and generate a list of recommended resources that is based on the information received from the identified members of the social network.

Abstract: A system and method for dynamically scanning one or more features on a Website. The system allows detecting of stored scripting errors, where an attack or injection occurs on a page or feature that results in executing malicious code by another page or feature. The system uses stored test identities and allows testing reuse.

Abstract: A system obtains desired information from a database by dynamically modifying a query plan while executing a query against the database. In particular, the system accesses predefined cardinality information associated with the query for the database (such as a number of occurrences of information associated with the query in the database), and identifies query constraints based on the predefined cardinality information. Then, the system determines an initial query plan based on the query constraints. After executing an initial query against the database based on the initial query plan, the system revises the initial query and the initial query plan, based on partial results of the initial query, to produce a revised query and a revised query plan. Next, the system executes the revised query against the database based on the revised query plan to obtain additional partial results, and the operations are repeated until a total result is obtained.

Abstract: In order to ingest data from an arbitrary source in a set of sources, a computer system accesses predefined configuration instructions. Then, the computer system generates a dynamic data-ingestion pipeline that is compatible with a Hadoop file system based on the predefined configuration instructions. This dynamic data-ingestion pipeline includes a modular arrangement of operators from a set of operators that includes: an extraction operator for extracting the data of interest from the source, a converter operator for transforming the data, and a quality-checker operator for checking the transformed data. Moreover, the computer system receives the data from the source. Next, the computer system processes the data using the dynamic data-ingestion pipeline as the data is received without storing the data in memory for the purpose of subsequent ingestion processing.

Abstract: Disclosed in some examples is a method comprising determining a first set of high ranking skills, the first set containing skills possessed by a member of the social networking service based upon the member's user profile; determining a second set of high ranking skills, the second set containing skills for a second member of the social networking service based on the second member's user profile; determining a third set of high ranking skills, the third set being the intersection between the first and second set of high ranking skills; and suggesting one or more of the skills in the third set of high ranking skills to the member for endorsement of the second member with respect to that skill.

Abstract: In an example embodiment, a gesture indication generated by a mobile device in response to a user gesture on a user interface of the mobile device with respect to a video currently being recorded by the mobile device is received. Availability notifications are then issued to the one or more potential visitors in the listing. A visit request is received from one of the one or more potential visitors, and then a host invitation is issued to the mobile device. In response to an indication that the user device has permitted the potential visitor corresponding to the visit request to view the video currently being recorded as a live video broadcast, the video currently being recorded is broadcast to the potential visitor corresponding to the visit request.

Abstract: In an example embodiment, a gesture indication is received from a mobile device, the gesture indication having been generated by the mobile device in response to a user gesture on a user interface of the mobile device with respect to a video currently being recorded by the mobile device. Then a social network service is accessed to obtain a listing of one or more potential visitors to view the video, the listing being automatically generated based at least partially on user preferences set by a user of the mobile device. Availability notifications are issued to the one or more potential visitors in the listing. A visit request is received from one of the one or more potential visitors. In response to the receiving of a visit request, the video currently being recorded is broadcast to the potential visitor corresponding to the visit request.

Abstract: A method and apparatus for generating a code index for multiple types of code is provided. The method comprises: analyzing a plurality of files that includes a first file that contains first code in a first programming language and a second file that contains second code in a second programming language; identifying a first plurality of tokens within the first file based on a first tokenizing approach; identifying a second plurality of tokens within the second file based on a second tokenizing approach that is different than the first tokenizing approach; storing the first plurality of tokens and the second plurality of tokens within a particular index.

Abstract: Techniques for enhancing search results generated by a search engine are described. A first set of member profiles is identified, the first set of member profiles satisfying a search query initiated by a searcher. A second set of member profiles is identified, the second set of member profiles having a relationship between a profile of the searcher and each of the second set of member profiles. A subset of the second set of member profiles is selected based on strength of relationships between each of the subset of the second set of member profiles and the first set of member profiles. A portion of each of the first set of member profiles is communicated for presentation in a first region of a search results user interface and a portion of each of the subset of the second set of member profiles is communicated for presentation in a second region of the search results user interface.

Abstract: A system executes a query associated with an application against a graph database by providing, to a first shard of the graph database, the query and a first query header that specifies the first shard. The query includes a subject, a predicate and an object, and the graph database stores a graph that includes nodes, edges between the nodes, and predicates to represent and store data. In response to the query, the system receives results and associated result headers from the first shard and a second shard, where the result headers specify that the results are partial results that are particular fractions of a total result. Furthermore, a combination of the partial results provides the total result to the query that includes a subset of the graph. Note that the subset of the graph may include desired information expressed within an associated structure of the graph.

Abstract: In an example embodiment, a plurality of member profiles in a social networking service are obtained, each member profile identifying a member and listing one or more skills the corresponding member has explicitly added to the member profile, the one or more skills indicating a proficiency by the member in the corresponding skill. A members-skills matrix is formed with members on one axis of the matrix and skills on another axis of the matrix, wherein each cell in the matrix is assigned a first value if the corresponding member explicitly lists the corresponding skill in the corresponding member profile and a second value if the corresponding member does not explicitly list the corresponding skill in the corresponding member profile. The members-skills matrix is factorized into a members matrix and a skills matrix in k-dimensional latent space, and then the dot product of the members matrix and the skills matrix is computed.

Abstract: A system, method, and apparatus are provided for distributing a content item toward target recipients solely via first degree connections (e.g., in a professional network, in a social network). For a selected content item and identified target recipients of the item, when a user initiates a message to forward or otherwise convey the content item, one or more schemes are applied to select and automatically populate the message with suitable addressees. In one scheme, values are computed for each neighbor of the sender, to indicate the value of delivering the item to that neighbor; the message is automatically addressed to the highest-value neighbors. In another scheme, user communities that encompass the target recipients are identified and the message is automatically addressed to neighbors that are best able to disseminate the item throughout a community. In another scheme a minimal set of neighbors having connections to all target recipients is identified.

Abstract: A fact checking system is able to verify the correctness of information and/or characterize 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. Fact checking results are able to be validated by re-fact checking the fact check results.

Abstract: Systems and methods for improving video stutter in high resolution progressive video captured with fast exposure times. In a first approach, digital video is captured with fast shutter speeds that cause objects moving within the frame to appear motionless. The video codec generates motion information that may be utilized to add an artificial motion blur to each frame of the digital video during processing in a digital video pipeline. The motion blur creates the appearance that an object is moving in the frame. In a second approach, the lens assembly of the digital camera includes an electronically controlled filter that attenuates the light reaching an image sensor such that the shutter speeds may be decreased in order to capture motion blur. The electronically controlled filter may be a liquid crystal display (LCD) device that is set to a plurality of different transparency levels based on a target exposure value.

Abstract: An example request change tracker may be used to create, modify, monitor, and report events occurring within a development and testing pipeline with respect to one or more computing applications. A request change tracker may include a pipeline event detector, a testing stage detector, a control module, and a reporting module. The pipeline event detector detects a pipeline event indicative of a status of a code module with respect to a pipeline. The testing stage detector determines the associated testing stage in the pipeline, based on the pipeline event. The control module initiates actions with respect to the pipeline, based on the determined testing stage. The reporting module updates a reporting log with information related to the state, progress and results of a testing stage in the pipeline.

Abstract: Disclosed in some examples is a method including receiving a plurality of transaction records, each of the transaction records including data about a particular transaction engaged in by a member of a social networking service and including a geographic location and a timestamp of the particular transaction; scoring each of the plurality of transaction records based upon the recency of the transaction; clustering the plurality of transaction records into a plurality of clusters, each cluster including transaction records which contain similar geographic locations; creating an aggregate score for each particular one of the plurality of clusters based upon a sum total of the scores calculated for each transaction record clustered into the particular cluster; and creating a probability distribution based upon the scores for the plurality of clusters, the probability distribution indicating a probability that the member was in each of the plurality of locations represented by the clusters.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a hierarchical representation containing a set of namespaces of a set of features shared by a set of statistical models. Next, the system uses the hierarchical representation to obtain, from one or more execution environments, a subset of the features for use in calculating the derived feature. The system then applies a formula from the hierarchical representation to the subset of the features to produce the derived feature. Finally, the system provides the derived feature for use by one or more of the statistical models.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of metrics associated with a performance of one or more customer service representatives. Next, the system calculates a productivity key performance indicator (KPI) from the set of metrics, wherein the productivity KPI includes a number of cases (e.g., solved cases, reopened cases, handled cases, and/or routed cases) per queue hour for the one or more customer service representatives. The system then outputs the productivity KPI for use in managing the performance of the one or more customer service representatives.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of key performance indicators (KPI) for one or more customer service representatives, wherein the set of KPIs includes a number of cases (e.g., solved cases, reopened cases, handled cases, and/or routed cases) per queue hour. Next, the system uses the set of KPIs to display a graphical user interface (GUI) comprising a chart of a two-dimensional performance measurement for the one or more customer service representatives. The system then displays, in the chart, a first axis representing a productivity KPI comprising the number of cases per queue hour and a second axis representing an additional KPI from the set of KPIs.

Abstract: Learning to rank modeling in the context of an on-line social network is described. A learning to rank model can learn from pairwise preference (e.g., job posting A is more relevant than job posting B for a particular member profile) thus directly optimizing for the rank order of job postings for each member profile. With ranking position taken into consideration during training, top-ranked job postings may be treated by a recommendation system as being of more importance than lower-ranked job postings. In addition, a learning to rank approach may also result in an equal optimization across all member profiles and help minimize bias towards those member profiles that have been paired with a larger number of job postings.

Abstract: An embodiment searches a social network for at least one trigger event, detects one or more trigger events, and communicates the detected one or more trigger events as an alert. Searching the social network comprises searching member profiles and searching member activities. Detected one or more trigger events are centralized into a sortable list and prioritized based on business entities and the importance of the trigger events to persons related to the business entities. The centralized sortable list is fed into a customer relations management system which presents the alerts on a user interface. A plurality of types of triggers includes people updates, company updates, product purchases, and product usage.

Abstract: In cases where a user of a social network has lost access to one or more email addresses on file with the social network, the social network may confirm an identity of the user before issuing a new password. The social network may confirm the identity of the user by prompting the user to correctly identify pictures of members of the social network that are connected to the user, selecting or receiving a selection of a plurality of trustees (e.g., members of the social network who are connected to the user), prompting the trustees to confirm with the user that the user has lost the access, and receiving notification that at least a specified number of the trustees have confirmed with the user that the user has lost the access. After the social network confirms the identity, the social network may provide a new password to the user.

Abstract: The disclosed embodiments provide a system for displaying a content feed on a smartwatch device. During operation, the system transmits a request for a content feed to a mobile application on a mobile device. When the mobile application responds with the content feed within a pre-specified period after the request, the system stores the content feed on the smartwatch device and displays the content feed on the smartwatch device. When the mobile application does not respond with an update to the content feed within the pre-specified period after a subsequent request for the content feed from the smartwatch device, the system obtains the content feed from storage on the smartwatch device and displays the content feed on the smartwatch device in lieu of the update.

Abstract: System and method for recommending to a member of a social network an interaction with ones of a plurality of entities. Events related to individual ones of the plurality of entities are obtained. A relevance of ones of the events to the member is determined based on at least one characteristic of ones of the events and a trait of the member. Recommended interactions with ones of the plurality of entities individually related to the ones of the events based on the relevance for each of the events are presented to the user.

Abstract: The disclosed embodiments provide a method and system for performing regularized model adaptation for in-session recommendations. During operation, the system obtains, from a server, a first global version of a statistical model. During a first user session with a user, the system improves a performance of the statistical model by using the first global version to output one or more recommendations to the user and using the first global version and user feedback from the user to create a first personalized version of the statistical model. At an end of the first user session, the system transmits an update containing a difference between the first personalized version and the first global version to the server for use in producing a second global version of the statistical model by the server.

Abstract: The disclosed embodiments provide a system and method for performing version control for asynchronous distributed machine learning. During operation, the system transmits a first global version of a statistical model to a set of client computer systems. Next, the system obtains, from a first subset of the client computer systems, a first set of updates to the first global version. The system then merges the first set of updates into a second global version of the statistical model. Finally, the system transmits the second global version to the client computer systems asynchronously from receiving a second set of updates to the first and/or second global versions from a second subset of the client computer systems.

Abstract: Displaying a preference by a first user of a content contribution submitted by a second user is disclosed. A preference event by the first 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 produced. At least a portion of the received events is caused to be rendered graphically.

Abstract: In order to facilitate the requesting of desired information from a graph database that stores a graph, a system may translate an initial query into a query that can be executed against the graph database. In particular, using primitives, the system may translate a query associated with a type of database (such as a relational database) into the query. The graph may include nodes, edges between the nodes, and predicates to represent and store data with index-free adjacency. Moreover, the primitives may include: a rule based on edges in the graph that expresses a relational schema in the type of database, and information associated with a compound key that specifies a relationship between nodes, edges and predicates in the graph corresponding to a table in the type of database. Then, the system may execute the query against the graph database, and may receive a result that includes a subset of the graph.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains validated training data containing a first set of content items and a first set of classification tags for the first set of content items. Next, the system uses the validated training data to produce a statistical model for classifying content using a set of dimensions represented by the first set of classification tags. The system then uses the statistical model to generate a second set of classification tags for a second set of content items. Finally, the system outputs one or more groupings of the second set of content items by the second set of classification tags to improve understanding of content related to the set of dimensions without requiring a user to manually analyze the second set of content items.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains validated training data containing a first set of content items and a first set of relevance tags, wherein the first set of relevance tags is used by one or more domain experts to identify the first set of content items as relevant to one or more topics. Next, the system uses the validated training data to produce a statistical model for classifying a relevance of content to the one or more topics. The system then uses the statistical model to generate a second set of relevance tags for a second set of content items. Finally, the system outputs one or more groupings of the second set of content items by the second set of relevance tags to improve understanding of content related to the one or more topics without requiring a user to manually analyze the second set of content items.

Abstract: A system and method for contextual connection recommendation includes obtaining, with a processor from a database, contextual data and social graph data related to a pair of members of a social network who are not currently connected on the social network. A connection base score between the pair of members is generated based on the social graph data. A recommendation modifier is generated based on the contextual data. A connection recommendation modified score is determined by applying the recommendation modifier to the base score. A connection recommendation is provided to at least one of the pair of members based, at least in part, on the connection recommendation modified score.