US 10,832,219 B2 · Using feedback to create and modify candidate streams

Abstract

Techniques for dynamically altering weights to re-weight attributes of an ordering model based on feedback in a streaming environment are described. In an embodiment, a system accesses, based on a candidate stream definition comprising a role including a title, one or more stream-related information sources, and extracts attributes from the sources. Additionally, the system inputs the attributes to a combined ordering model that is trained by a machine learning algorithm to output ordering scores for member profiles of an online system (e.g., hosting a social networking service). The combined ordering model includes weights assigned to the attributes. Moreover, the system orders, based on the ordering scores, the profiles. Furthermore, the system presents, on a display, of top-ordered profiles. Then, the system accesses feedback regarding the top-ordered profiles and dynamically trains the weights assigned to each of the attributes to alter the weights assigned to the attributes based on the feedback.

Claims20

Dependent claims

A computer system, comprising:

one or more processors;
and
a non-transitory computer readable storage medium storing instructions that when executed by the one or more processors cause the computer system to perform operations comprising:
accessing a candidate stream definition comprising a role, the role including a title;
accessing, based on the candidate stream definition, one or more stream-related information sources;
extracting one or more attributes from the one or more stream-related information sources;
inputting the one or more attributes to a combined ordering model, the combined ordering model trained by a machine learning algorithm to output an ordering score for each of one or more member profiles of members of an online system, the combined ordering model including weights assigned to each of the one or more attributes;
ordering, based on the ordering scores, the one or more member profiles;
causing presentation, on a display device, of one or more top-ordered member profiles;
accessing feedback regarding the one or more top-ordered member profiles;
and
dynamically training the weights assigned to each of the one or more attributes to alter the weights assigned to each of the one or more attributes based on the feedback.

9 more elements

A computer-implemented method, comprising:

accessing a candidate stream definition comprising a role, the role including a title;
accessing, based on the candidate stream definition, one or more stream-related information sources;
extracting one or more attributes from the one or more stream-related information sources;
inputting the one or more attributes to a combined ordering model, the combined ordering model trained by a machine learning algorithm to output an ordering score for each of one or more member profiles of members of an online system, the combined ordering model including weights assigned to each of the one or more attributes;
ordering, based on the ordering scores, the one or more member profiles;
causing presentation, on a display device, of one or more top-ordered member profiles;
accessing feedback regarding the one or more top-ordered member profiles;
and
dynamically training the weights assigned to each of the one or more attributes to alter the weights assigned to each of the one or more attributes based on the feedback.

6 more elements

A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

accessing a candidate stream definition comprising a role, the role including a title;
accessing, based on the candidate stream definition, one or more stream-related information sources;
extracting one or more attributes from the one or more stream-related information sources;
inputting the one or more attributes to a combined ordering model, the combined ordering model trained by a machine learning algorithm to output an ordering score for each of one or more member profiles of members of an online system, the combined ordering model including weights assigned to each of the one or more attributes;
ordering, based on the ordering scores, the one or more member profiles;
causing presentation, on a display device, of one or more top-ordered member profiles;
accessing feedback regarding the one or more top-ordered member profiles;
and
dynamically training the weights assigned to each of the one or more attributes to alter the weights assigned to each of the one or more attributes based on the feedback.

6 more elements

Dependencies are inferred from the claim text.

Using feedback to create and modify candidate streams

Life of this patent

Using feedback to create and modify candidate streams

Life of this patent

Abstract

Claims20