Salesforce Com, Inc.

Vcvc III LLC

Evri, Inc.

Amazon Technologies, Inc.

Scott Douglas White

Nova T Spivack

James M Wissner

Pingping Xiu

Chris Jones

Peter Royal

Lew Tucker

Jim Wissner

Richendra Khanna

Michael Scott Micucci

Weiping Peng

Rajiv Chopra

Peter Francis White

Jonathan Pappas

Anjan Goswami

Zhenhua Xu

Scott M Silver

Kiran Jyotsna Achyutuni

Pranav Suresh Shah

Megan Danielle Hoagland

Boris Aleksandrovksy

Prakash Mallick

Parijat Mazumdar

Jonathan Qiang Li

Edward E Bardusch

David T Margrave

Hisham Al-Shurafa

Mark A Harburg

Methods, systems, and devices for processing and answering a natural language query at a database server are described. An end user may submit a question in natural language over a communication platform. An answer engine running on the database server may receive the question, and may process the content of the question using natural language processing (NLP) techniques. The answer engine may construct a search query based on the NLP, and may retrieve a set of documents from a database using the search query. The answer engine may rank the documents, prune the number of documents, modify the documents for the given communication platform, or perform any combination of these functions. In some cases, an intermediate user may review the documents, and may select one or more documents for publication. The answer engine may send the selected documents to the end user as answers in response to the question.

Omni-platform question answering system

Disclosed embodiments are related to feature hashing techniques. A processing device of a database system may identify a set of machine learning features; generate a first hash map of said set of machine learning features and a second different hash map of said set of machine learning features. The processing device may generate a memory compact model for an online machine learning system using the first and second hash maps, and store the memory compact model in the memory device.

Multiple feature hash map to enable feature selection and efficient memory usage

Disclosed are techniques for identifying data items to display in a feed of an enterprise social networking system. A first subset of data items is identified as associated with an inner circle of data sources with which a user interacts at or exceeding a designated frequency, a second subset of data items is identified as associated with an interest graph associated with the user, and a third subset of data items is identified as associated with a group or an organization. A highlights feed can be displayed with different channels, where a first channel is defined by the first subset of data items, a second channel is defined by the second subset of data items, and a third channel is defined by the third subset of data items.

Identifying relevant feed items to display in a feed of an enterprise social networking system

Systems and methods for automatic mapping of a location identifier pattern of an object to a semantic type using object metadata are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying a set of tags associated with a website that is hosted by a web server. The method further includes, detecting a web page in the website in which a tag of the set of tags is identified, extracting a pattern from a Universal Resource Locator (URL) of the web page, and/or storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type. The tag corresponds to a semantic type with which the content embodied in the web page has a semantic relationship and the pattern corresponds to the semantic type with which the content embodied in the web page has a semantic relationship.

Automatic mapping of a location identifier pattern of an object to a semantic type using object metadata

Systems and methods of a knowledge management networking are disclosed here. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of hosting a web-space having a plurality of objects, the plurality of objects to include one or more of, representations of a set of users, a set of web-items, and a set of nets; wherein a net of the set of nets is a subset of the web-space comprising a sub-plurality of the plurality of objects. One embodiment can include, tracking an explicit relationship between a first set of at least two objects of the set of objects; the explicit relationship to be pre-determined by a user of the set of users, identifying an implicit relationship between a second set of at least two objects of the set of objects; the implicit relationship to be identified based on a semantic relationship between the at least two objects, and determining a default set of privacy rules governing access between the at least two objects based on one or more of the identified explicit relationship and the implicit relationship.

System and method of a knowledge management and networking environment

Techniques are described for use in selectively authorizing proposed transactions under certain circumstances, such as when payments for the transactions are not assured. In some situations, when payments to a merchant from customers are not assured for proposed item acquisition transactions involving those customers, determinations are made to authorize and proceed with at least some of those proposed transactions in an automatic and selective manner without the assurance of receiving the payments for the selected transactions. For example, a selective determination of whether to authorize a proposed transaction may be made based on analyzing information about the proposed transaction (e.g., about the item(s) involved in the transaction, a payment amount of the transaction, the customer(s) involved in the transactions, etc.) and on information regarding other prior transactions. If a proposed transaction is authorized, the merchant may then proceed to initiate fulfillment of the transaction before the merchant receives payment.

Selective authorization of item transactions

Growing community of inventors

Seattle, WA, United States of America

Scott Douglas White