Salesforce Com, Inc.

Pranav Suresh Shah

Michael Scott Micucci

Weiping Peng

Scott Douglas White

Peter Francis White

Joshua Luft-Glidden

Anjan Goswami

Pingping Xiu

Zhenhua Xu

Prakash Mallick

Sneha Sunil Khadye

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 are some examples of systems, methods and storage media for associating a group of users to a record and facilitating collaboration on the record by the users via a group feed of an enterprise network. In some implementations, a system includes first data associating each of a plurality of group identifiers to one or more record identifiers, and second data associating each of a plurality of feed item identifiers to a respective group identifier or record identifier. In one implementation, the system is configured to receive a request for a first group feed associated with a first group identifier. Based on the request, the system identifies one or more first record identifiers associated with the first group identifier, identifies one or more first feed item identifiers associated with the first group identifier or the first record identifiers, and generates the first group feed to include the corresponding feed items.

Facilitating collaboration on a record among a group of users of a feed-based enterprise network

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San Francisco, CA, United States of America

Pranav Suresh Shah