US 12,608,663 B2 · Generating and providing team member recommendations for content collaboration

Abstract

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for identifying and recommending team members for target users from a content management system utilizing a machine learning approach. In particular, the disclosed systems can generate a set of candidate team members from among users of the content management system based on various factors such as access to a common digital content item. In some embodiments, the disclosed systems further determine recommended team members from among the set of candidate team members. For example, the disclosed systems can utilize a machine learning approach to generate or predict recommended team members based on particular features extracted or determined for, or with respect to, the various candidate team members. In certain implementations, the disclosed systems further provide a recommended-team-member notification to notify a target user of a recommended team member.

Claims20

Dependent claims

A computer-implemented method comprising:

providing, to a machine learning model, a set of digital features associated with candidate recommendations for a target user account;
generating, utilizing the machine learning model, a suggested recommendation for the target user account based on the set of digital features;
generating a recommendation rationale for the suggested recommendation based on two or more features from the set of digital features, wherein the recommendation rationale comprises a generated text description explaining how respective features of the two or more features contributed to the suggested recommendation;
and
triggering a client device associated with the target user account to display a recommendation notification comprising the suggested recommendation and the recommendation rationale within a content-management user interface associated with creating or modifying one or more digital content items accessible by the target user account.

2 more elements

A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computing device to:

provide a set of digital features to a machine learning model, the set of digital features associated with a target user account;
generate a suggested recommendation for the target user account by processing the set of digital features with the machine learning model;
generate a recommendation rationale for the suggested recommendation based on two or more features from the set of digital features, wherein the recommendation rationale comprises a generated text description explaining how respective features of the two or more features contributed to the suggested recommendation;
and
trigger a client device associated with the target user account to display a recommendation notification comprising the suggested recommendation and the recommendation rationale within a content-management user interface associated with creating or modifying one or more digital content items accessible by the target user account.

2 more elements

Dependencies are inferred from the claim text.

Generating and providing team member recommendations for content collaboration

Life of this patent

Generating and providing team member recommendations for content collaboration

Life of this patent

Abstract

Claims20