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: 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 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: 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: 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: 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: 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: 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 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: 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: 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: 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.