US 9,852,377 B1Granted

Providing intelligent storage location suggestions

AssigneeDropbox, Inc.

InventorNeeraj Kumar

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Abstract

One or more embodiments of a content system provide machine-learned storage location recommendations for storing content items. Specifically, an online content management system can train a machine-learning model to identify a storage pattern from previously stored content items in a plurality of storage locations corresponding to a user account of a user. Training the machine-learning model includes training a plurality of classifiers for the plurality of storage locations. The online content management system uses the classifiers to determine whether a content item is similar to the content items in any of the storage locations, and based on the output of the classifiers, provides graphical elements indicating recommended storage locations within a graphical user interface. The user can select a graphical element to move the content item to the corresponding storage location.

Claims20

Dependent claims

A method comprising:

determining, by at least one processor, characteristics of a plurality of content items stored in a storage location, the storage location associated with a user account;
training, by the at least one processor, a machine-learning model using a plurality of classifiers for a plurality of storage locations associated with a plurality of user accounts, the plurality of classifiers comprising a classifier based on the characteristics of the plurality of content items in the storage location associated with a user account;
determining, by the at least one processor in response to a request to store an identified content item and using the machine-learning model, that the identified content item is similar to the plurality of content items stored in the storage location associated with the user account;
and
providing, for display within a user interface and based on determining that the identified content item is similar to the plurality of content items using the machine-learning model, a graphical element indicating a recommendation to store the identified content item in the storage location associated with the user account.

2 more elements

A method comprising:

determining characteristics of a plurality of content items stored in a plurality of storage locations associated with a user account;
training, based on the determined characteristics of the plurality of content items for the plurality of storage locations, a plurality of classifiers for the plurality of storage locations;
receiving one or more new content items for the user account;
storing the one or more new content items in a temporary storage location;
using the plurality of classifiers to identify one or more recommended storage locations for each of the one or more new content items;
providing, within a user interface in response to establishing a user login session for the user account, a subset of recommended storage locations for a content item from the one or more new content items according to a ranking associated with the one or more recommended storage locations for the content item, wherein the subset of recommended storage locations meet a predetermined threshold;
and
receiving, by way of the user interface, user input comprising a selection of a recommend storage location for the content item from the one or more new content items.

5 more elements

A system comprising:

at least one processor;
and
a non-transitory computer readable storage medium comprising instructions that, when executed by the at least one processor, cause the system to:
determine characteristics of a plurality of content items stored in a storage location associated with a user account;
traine a machine-learning model using a plurality of classifiers for a plurality of storage locations associated with a plurality of user accounts, the plurality of classifiers comprising a classifier based on the characteristics of the plurality of content items in the storage location associated with a user account;
use the machine-learning model to identify a recommended storage location for a new content item in connection with the user account;
provide, within a user interface, the recommended storage location for the new content item;
and
receive, by way of the user interface, user input comprising a selection of the recommended storage location for the new content item.

6 more elements

Dependencies are inferred from the claim text.