Linkedin Corporation

Salesforce, Inc.

Salesforce Com, Inc.

Microsoft Technology Licensing, LLC

Other

Mario Sergio Rodriguez

Viet Thuc Ha

Michael Conover

Mathieu Bastian

Jessica V Zuniga

Ahmet Bugdayci

Linda Wei

Marc Brette

Christian Posse

Arvind Srikantan

Rohit Kapoor

Muhammad Tayyab Javed

Sahibdeep Singh

Shakti Dhirendraji Sinha

Ganesh Venkataraman

Francisco Borges

Guillaume Jean Mathieu Kempf

Matthieu Michel Robin Landos

Igor Perisic

Georgios Balikas

Darya Brazouskaya

Qianqian Shi

Douglas Jobe Puett

Ivan Koval

Milad Alemzadeh

Viet-Ha Thuc

Amanda Banda

System and methods are described for generating training data for a natural language search system, the training data including synthetic user queries and associated structured query language (SQL) statements. A method includes generating an abstract query representation from a probabilistic context-free grammar (PCFG), selecting a sample record from a database using the abstract query representation, generating a tagged user query from the abstract query representation and the sample record, and generating the one or more SQL statements from the tagged user query and one or more SQL templates.

Generating training data for natural language search systems

A database system may receive a natural language query that is associated with a tenant of a multi-tenant system. The natural language query may be parsed into a set of tokens, and the set of tokens may be tagged, using a tenant specific tagging model associated with the tenant, the set of tokens with at least one pre-configured data type identifier that is configured for the plurality of tenants. A global tagging model that supports the plurality of tenants of the multi-tenant system may tag the set of tokens with at least one category identifier. The global tagging model may use the natural language query and the pre-configured data type identifier to identify the at least one category identifier. The system may execute a database query on a database associated with the tenant using the at least one pre-configured data type identifier and the at least one category identifier.

Tenant specific and global pretagging for natural language queries

System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.

Generating performance metrics from events derived from user interface logs

Systems and methods are described for applying a plurality of data points of a time series data set representing values of a metric measuring performance of a cloud computing service to a machine learning model to predict a forecast of a most likely value of the metric at a selected future time. The method includes determining whether the plurality of data points of the time series data set are anomalies according to the machine learning model and the forecast and generating a collective anomaly from the anomalies when the plurality of data points is determined to be anomalies. The method further includes determining whether the collective anomaly does not meet one or more cloud computing service level objective (SLO) threshold requirements and sending an alert when the collective anomaly does not meet one or more cloud computing SLO threshold requirements.

Generating anomaly alerts for time series data

A computer system is configured to receive a plurality of previous user selections by a user of previous database entries, each of which has as plurality of database field. The computer system is configured to determine weights for the various database fields included in the previous user selections and rank subsequent search results for a subsequent search of the database based on the determined weights, where the one or more weights affect a ranking of a search result based on a match associated with the particular database field. The computer system is further configured to receive customized search result layout settings specifying that one or more specified database fields are displayed to the user when the search results are displayed, where one or more weights for the particular database field are based on the customized search result layout settings.

Ranking results of searches of databases

Systems and methods are described for generating metrics from log data items, automatically inferring one or more schemas based at least in part on analyzing samples of the log data items, validating samples of the log data items against the one or more schemas to detect log data item errors, and analyzing the log data item errors according to metrics analytics rules to determine an effect of the log data item errors on a quality measurement of the metrics.

Schema inference and log data validation system

A computer system is configured to receive a plurality of previous user selection by a user of previous database entries, each of which has as plurality of database field. The computer system is configured to analyze the plurality of previous user selections to identify how frequently the same values are included in the various previous database entries. The computer system is configured to determine weights for the various database fields and rank subsequent search results for a subsequent search of the database based on the determined weights.

A map generator machine generates influence maps based on profiles of entities, such as members of an online social networking service. The entities can be treated as nodes within a social graph, and each node may be represented by a corresponding node profile. The machine is configured to access a database of node profiles and rank the nodes according to seniority information contained in the node profiles. The machine is further configured to group nodes into clusters based on skill similarity based on skill descriptors included in their corresponding node profiles. The machine is also configured to generate one or more maps to depict one or more the subsets of the nodes. As generated, such a map is a graphical presentation of at least some of the nodes of the social graph, and the map may be generated with visual indicators of seniority and skill similarity.

Influence map generator machine

Disclosed in some examples are methods, systems, and machine-readable mediums which provide for a personalized expertise searching. When a user of the social networking service enters a search query, the system determines if the user is searching for members who possess a particular skill. If the user is searching for members who possess a particular skill, the search results are post-processed by personalizing the search results using one or more machine-learning models which utilize one or more observed features about the user that enters the query, the skills of the members of the social networking service, and the query itself. In some examples, the system may utilize multiple machine-learning models in multiple passes to fine tune the relevance of the search results and to ensure that the post-processing returns search results in a timely manner.

Techniques for personalizing expertise related searches

A soap-dispensing faucet assembly for sinks includes a faucet that is configured to couple to a sink and a housing that is configured to couple to a surface below the sink. A nozzle, which is configured to spray water, is fluidically coupled to the faucet. A power module, a reservoir, and a pump are coupled to and positioned in the housing. The reservoir is configured to position fluids, such as liquid soap and liquid detergent. The pump is operationally coupled to the power module and is fluidically coupled to the reservoir. A tube is coupled to a front plate of the nozzle and extends from an opening in the front plate of the nozzle through the faucet. The tube is fluidically coupled to the pump. The pump is configured to motivate the fluids from the reservoir through the tube to be dispensed from the opening in the nozzle.

Soap-dispensing faucet assembly

Techniques for inferring a professional reputation for a member of an online social networking service are described. A recommendation graph is generated from professional recommendations submitted by members of the online social networking service for other members of the online social networking service. Using the generated recommendation graph, a reputation model is trained to learn a respective importance for each respective feature of a set of features of electronic profiles on the online social networking service. A professional reputation of a member of the online social networking service is estimated by applying the trained reputation model to a feature vector of the electronic profile of the member, producing a score representing the professional reputation of the member.

Inferring professional reputations of social network members

The disclosed embodiments provide a reputation system. The reputation system includes a ranking apparatus that obtains a set of reputation scores for one or more dimensions of a set of items in the reputation system and generates a ranking of the items based on the reputation scores and the one or more quantiles. The reputation system also includes a query-processing apparatus that obtains a query comprising the one or more dimensions and one or more quantiles associated with the one or more dimensions and provides the ranking in a response to the query.

Querying of reputation scores in reputation systems

The disclosed embodiments provide a reputation system. The reputation system includes a statistical model associated with a set of items and a set of dimensions of the items in the reputation system, wherein the statistical model is trained using a positive class and a negative class. The reputation system also includes a scoring apparatus that applies the statistical model to a set of features for each of the items to estimate a set of reputation scores for the items. Finally, the reputation system includes a ranking apparatus that enables use of the set of reputation scores in the reputation system.

Estimating reputation scores in reputation systems

The disclosed embodiments provide a reputation system. The reputation system includes a scoring apparatus that provides a matrix of reputation scores for a set of items and a set of dimensions of the items in the reputation system, wherein the matrix comprises unknown values for a subset of the reputation scores. The reputation system also includes an inference apparatus that calculates a factorization of the matrix and uses the factorization to update the matrix with a set of inferred values for the set of reputation scores. Finally, the reputation system includes a ranking apparatus that uses the updated matrix to obtain a ranking of the items by one or more of the dimensions.

Growing community of inventors

Santa Clara, CA, United States of America

Mario Sergio Rodriguez