Highspot, Inc.

Scot Gellock

David Wortendyke

Oliver J Sharp

Robert S Wahbe

Erik B Christensen

Nate Dire

Raphael Hoffman

Paul A Viola

The disclosed technology provides systems and methods for filtering information based on a set of properties. The information consists of a set of items that the user is interacting with, such as documents, presentations, audio and video files, and the like. The properties can be specified by the user (by, for example, putting a set of items in lists and folders), based on actions taken by users in the system (such as commenting on, or liking, or viewing an item), or can represent a variety of other characteristics. Related properties can also be grouped together. Furthermore, the disclosed techniques provide mechanisms for automatically identifying useful properties and providing an indication of those useful properties to a user to use in narrowing results.

Narrowing information search results for presentation to a user

Systems and methods for identifying semantically and/or visually related information among a set of content items, such content items that include similar concepts or that have similar visual aspects, are disclosed. The disclosed techniques provide tools for identifying related information among various content items, such as text pages and documents, presentation slides and slide decks, etc. The disclosed techniques provide improved methods for searching among content items, organizing content items into categories, and pruning redundant content. Furthermore, the disclosed techniques provide improvements to computation of various metrics, including usage, performance, and impact metrics.

Systems and methods for identifying semantically and visually related content

Techniques for organizing information, such as documents, presentations, web sites and web pages, audiovisual media streams, and the like are describe. This disclosed techniques include creating and using an interest graph to support the distribution of information to a user via a feed containing information items likely to be of interest to the user. An interest graph expresses the affinity between people and information&#x2014;the likelihood that a particular piece of information is of interest to a particular person. The interest graph is based on an understanding of relationships, monitoring of user behavior, and analysis of each piece of information. The interest graph represents many kinds of relationships, including: between users and other users, users and items, and users and collections. The interest graph can be computed using data both from a set of items and from user behavior.

Interest graph-powered feed

Techniques for identifying and viewing information items within an organization comprising a plurality of users each having one or more roles within the organization is disclosed. The disclosed techniques provide systems and methods for implementing and using a 'skim preview' technique for previewing information items. This technique can be applied to a wide variety of information, such as presentations, documents, video, images, and so on and can be used for a variety of applications, including browsing, searching, discovery, and so on. The system can compute sequences that represent interesting visual aspects of the item being viewed. This can be applied to items that do not have a natural set of preview images, or it might be used as an alternative to the natural previews. The preview images may be sequenced chronologically, by importance, or based on any other metric.

Skim preview

A method, which identifies information of interest within an organization, determines use data that characterizes relationships among information items within the organization, where the information items include user data and collections of information items. The method generates interest data indicating affinities among the information items based on the determined use data. After receiving a query for data regarding the information items, the method responds to the query by providing one or more results based on the generated interest data. More details are provided herein.

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Seattle, WA, United States of America

Scot Gellock