LinkedIn Patent Applications

COMMON FEATURE PROTOCOL FOR COLLABORATIVE MACHINE LEARNING

Granted: April 20, 2017
Application Number: 20170109652
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…

MULTIDIMENSIONAL INSIGHTS ON CUSTOMER SERVICE DYNAMICS

Granted: April 20, 2017
Application Number: 20170109679
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…

MULTIDIMENSIONAL CHARACTERIZATION OF CUSTOMER SERVICE DYNAMICS

Granted: April 20, 2017
Application Number: 20170109681
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…

VERSION CONTROL FOR ASYNCHRONOUS DISTRIBUTED MACHINE LEARNING

Granted: March 30, 2017
Application Number: 20170091651
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.…

REGULARIZED MODEL ADAPTATION FOR IN-SESSION RECOMMENDATIONS

Granted: March 30, 2017
Application Number: 20170091652
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…

TRANSLATING QUERIES INTO GRAPH QUERIES USING PRIMITIVES

Granted: March 23, 2017
Application Number: 20170083571
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…

MODEL-BASED IDENTIFICATION OF RELEVANT CONTENT

Granted: March 16, 2017
Application Number: 20170075978
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…

MODEL-BASED CLASSIFICATION OF CONTENT ITEMS

Granted: March 16, 2017
Application Number: 20170076225
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…

TRANSPARENT HYBRID DATA STORAGE

Granted: March 2, 2017
Application Number: 20170060472
A system, method, and apparatus are provided for performing a transparent hybrid data storage scheme in which data are stored as blocks distributed among one or more flash-based storage devices (e.g., solid state drives) and one or more magnetic storage devices (e.g., magnetic disk drives). Files larger than a given size (e.g., 1 MB) are segmented into blocks of that size and stored on one or more devices; blocks of one file may be stored on devices of different types. Periodically, a…

PREDICTING CHURN RISK ACROSS CUSTOMER SEGMENTS

Granted: March 2, 2017
Application Number: 20170061343
The disclosed embodiments provide a system for processing data. During operation, the system inputs a set of features for a customer of a product into a first statistical model, wherein the set of features comprises a company segment of the customer. Next, the system uses the first statistical model to predict a churn risk of the customer. When the churn risk exceeds a first threshold for the company segment, the system outputs a notification of a high churn risk level for the customer.

IDENTIFYING AND MITIGATING CUSTOMER CHURN RISK

Granted: March 2, 2017
Application Number: 20170061344
The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of data for a set of customers of a product, wherein the set of data comprises a set of churn risk levels for the customer. Next, the system uses the set of data to display a graphical user interface (GUI) comprising a chart of renewal opportunities with the set of customers, for the product, over an upcoming time interval. The system then displays, in the GUI, a representation of a…

OPTIMIZING ACQUISITION CHANNELS BASED ON CUSTOMER LIFETIME VALUES

Granted: March 2, 2017
Application Number: 20170061480
The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of features for a customer of a product. Next, the system uses the set of features to identify a likelihood of purchasing the product through a first channel by the customer and estimate a first customer lifetime value (CLV) for the customer through the first channel and a second CLV for the customer through a second channel. The system then selects an acquisition channel for the…

SELECTING A SUITABLE TIME TO DISRUPT OPERATION OF A COMPUTER SYSTEM COMPONENT

Granted: February 9, 2017
Application Number: 20170039086
A system, method, and apparatus are provided for determining an appropriate time to disrupt operation of a computer system, subsystem, or component, such as by shutting it down or taking it offline. Historical measurements of work accumulated on the component at different times are used to generate one or more forecasts regarding future amounts of work that will accumulate at different times. Accumulated work may include all job/tasks (or other executable objects) that have been…

HIERARCHICAL SYSTEM-CAPABILITY TESTING

Granted: January 19, 2017
Application Number: 20170017565
In order to perform system-capability testing, an application in an application layer may provide predefined system capabilities and/or requirements of or associated with the application to a communication plugin in a data-link layer, such as availability of communication via a network and/or a latency of the network less than a predefined value. In response, the communication plugin may determine feedback information that specifies whether the predefined system capabilities are…

AUTOMATICALLY SECURING AN ELECTRONIC DEVICE

Granted: January 19, 2017
Application Number: 20170017787
A system, apparatus, and methods are provided for automatically securing an electronic device. The device is paired with a security token (e.g., an access badge) associated with a user authorized to operate the device. During device operation, if the security token (e.g., which may be worn or carried by the user) is out of range or proximity with the device, after a threshold period of time some or all functionality of the device (e.g., other than communication with the security token)…

DYNAMIC LEAD GENERATION

Granted: January 5, 2017
Application Number: 20170003844
In order to build or aggregate lists of potential customers, contact information may be collected from viewers of a document, such as a presentation. In particular, multiple pages in a document associated with a user of a social network (such as slides in a presentation) may be presented to a second user of the social network. At one or more dynamically selected pages or locations in the document and/or a dynamically selected position or location on a page, the second user may be…

GENERATING AND RANKING SERVICE PROVIDER RECOMMENDATIONS IN A SOCIAL NETWORK

Granted: January 5, 2017
Application Number: 20170004548
In various example embodiments, a system and method for generating and ranking service provider recommendations in a social network are presented. A request to identify a set of service providers that meet a specific criteria is received. The request can be associated with a member of a social network service. Member profiles from among a plurality of member profiles of the social network service are identified based on the specific criteria. A plurality of attributes is extracted from…

SEGMENT-BASED CONTENT POOLS FOR INCLUSION IN CONTENT FEEDS

Granted: December 1, 2016
Application Number: 20160350310
The disclosed embodiments provide a system for processing data. During operation, the system obtains one or more metrics associated with user interaction with a set of content items in a member segment of a social network. Next, the system ranks the set of content items by the one or more metrics. The system then generates a content pool for the member segment based on the ranking of the content items. Finally, the system creates a content feed from the content pool for presentation to a…

SELECTING CONTENT TO SURFACE VIA AN INFERRED SOCIAL CONNECTION

Granted: December 1, 2016
Application Number: 20160350665
A system, method, and apparatus are provided for selecting electronic content to surface to a member of a user community, among content associated with a second member with whom an inferred (i.e., non-explicit) connection has been formed. Based on the members' types (e.g., Professional, Student, Recruiter) and/or other factors, a type is assigned to the new connection. A default vector comprising weights corresponding to multiple categories of content that may be served to a community…

INFERRING A SOCIAL CONNECTION

Granted: December 1, 2016
Application Number: 20160350666
A system, method, and apparatus are provided for automatically establishing an inferred (‘follow’) relationship between a first member and a second member of a user community. Based on passive and/or active signals indicating affinity of the first member for the second member, the system determines whether an inferred connection from the first member to the second member would improve the first member's network within the user community. A potential improvement may be observed if the…