Primer Technologies, Inc.

John Bohannon

Leonard Apeltsin

Wei Gong

Raine Morgan Hoover

Sean William-Joseph Gourley

Sean Gourley

Oleg Vasilyev

Thomas Alexander Grek

Amy Heineike

Emmanuel Ramon Yera

Systems, methods, and software described herein provide improvements of identifying stances of data sources for events. In one implementation, an event summary service identifies data objects that correspond to an event and identifies a data source from a plurality of data sources for each of the data objects. The summary service further, for each data object of the data objects, processing the data object to identify pertinent data related to a stance for the data source for the data object in relation to the event, and identifies a stance for each of the plurality of data sources based on the pertinent data identified in the data objects.

Stance detection and summarization for data sources

Systems, methods, and software described herein provide enhancements of managing summaries provided to end users. In one implementation, a summary service identifies data objects that correspond to an event and classifies each of the data objects into classifications of interest. Once classified, data objects are compared between the different classifications to identify information differences, and the information differences are used to generate a summary for an end user of the summary service.

Classification and comparison of event related

Systems, methods, and software described herein provide improvements for providing content to end users in a computing network. In one example, a content service may determine and provide first content items in first content formats to end users. After providing the first content items, the content service may monitor user interactions for the end users with one or more services and determine content formats of interest for the end users based on the user interactions. The content service may further determine second content items to be provided to the end users based on the content formats of interest.

Enhanced content format management for web services

Systems, methods, and software described herein provide enhancements of managing summaries provided to end users. In one implementation, a summary service provides a user with identifier for a plurality of events, and obtains a selection from the user, wherein the selection identifies a first type of summary for an event in the plurality of events. The summary service further provides the user with a first summary of the first type for the event, identifies one or more suggested types of summaries for the event based at least in part on data points for the event, and provides the one or more suggested types of summaries to the user.

Management of event summary types

The technology disclosed herein dynamically presents content in a presentation based on physical cues received from attendees to the presentation. In a particular implementation, a method provides, after commencing a presentation comprising content items presented by a computing system in a first sequence, identifying one or more physical cues from a plurality of attendees to the presentation. The method further provides modifying the first sequence based on the physical cues to create a second sequence for which the content items will be presented and presenting the content items in the second sequence to the plurality of attendees.

Dynamic management of content in an electronic presentation

The technology disclosed herein provides a summary of a predicted timeline for an event that has yet to occur. In a particular implementation, a method provides identifying a first event that has yet to occur. The method further provides identifying first data objects from a plurality of data objects obtained from a plurality of information sources. The first data objects include information pertinent to the first event. The method also provides extracting first time information relevant to the first event from the first data objects, determining a confidence level for each portion of the first time information, and generating a summary of the first time information based on the confidence level for each portion of the first time information.

Predicting an event timeline for an event that has yet to occur

The technology disclosed herein summarizes a document using a dictionary derived from tokens within the document itself. In a particular implementation, a method provides identifying a first document for summarization and inputting the first document into a natural language model. The natural language model is configured to summarize the first document using words from a first dictionary compiled based on tokens from the first document. The method further provides receiving a first summary output by the natural language model after the natural language model summarizes the first document.

Limiting a dictionary used by a natural language model to summarize a document

The technology disclosed herein presents content dynamically based on physical cues received from a consumer of the presented content. In a particular implementation, a method provides determining first content items for presentation to a user and determining a first sequence in which the first content items should be presented to the user. During presentation of the first content items in the first sequence to the user, the method provides identifying at least one physical cue from the user and modifying the first sequence based on the at least one physical cue to create a second sequence in which the first content items should be presented to the user. The method then provides presenting the first content items to the user in the second sequence.

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San Francisco, CA, United States of America

John Bohannon