US 9,959,364 B2Granted

Content recommendations

AssigneeOath Inc.

InventorsVidit Jain, Abhranil Chatterjee

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Abstract

Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.

Claims20

Dependent claims

A method for providing content recommendations, comprising:

generating a graph based upon terms extracted from a content corpus, the graph comprising one or more nodes connected by one or more edges, a first edge connecting a first node and a second node, the first node representing a first term, the second node representing a second term, and the first edge representing a relationship between the first term and the second term;
decomposing the graph into a set of topic groupings, a topic grouping comprising one or more terms that contribute to a topic of the topic grouping;
filtering the set of topic groupings based upon a topic contribution threshold, specifying a threshold amount of contribution a term is to provide to an associated topic, to identify a set of refined topic groupings from the graph,
the filtering comprising:
assigning weights to respective terms within the topic grouping;
normalizing the weights to define a probability mass function;
computing an entropy of the probability mass function;
responsive to the entropy having a value that is not between a minimum entropy curve and a uniform probability distribution entropy curve, removing a third term from the topic grouping based upon the topic contribution threshold;
and
removing a fourth term from the topic grouping responsive to determining that the fourth term provides a first amount of contribution, less than the threshold amount of contribution, to the topic;
identifying metadata of current content consumed by a user;
projecting the metadata into the set of refined topic groupings within the graph to identify a set of relevant nodes;
and
providing one or more content recommendations based upon content associated with the set of relevant nodes.

11 more elements

A system for providing content recommendations, comprising:

a graph generation component configured to:
generate a graph based upon terms extracted from a content corpus;
identify a set of topic groupings within the graph, a topic grouping comprising one or more terms that contribute to a topic of the topic grouping;
and
filter the set of topic groupings based upon a topic contribution threshold, specifying a threshold amount of contribution a term is to provide to an associated topic, to identify a set of refined topic groupings within the graph, the filtering comprising:
removing a first term from the topic grouping responsive to:
determining that the first term provides a first amount of contribution to the topic, wherein the first amount of contribution corresponds to a first amount of semantic relevance of the first term to the topic;
and
determining that the first amount of contribution is less than the threshold amount of contribution, wherein the threshold amount of contribution corresponds to a threshold amount of semantic relevance;
assigning weights to respective terms within the topic grouping;
normalizing the weights to define a probability mass function;
computing an entropy of the probability mass function;
and
responsive to the entropy having a value that is not between a minimum entropy curve and a uniform probability distribution entropy curve, removing a second term from the topic grouping based upon the topic contribution threshold;
and
a content recommendation component configured to:
identify metadata of current content consumed by a user;
evaluate the set of refined topic groupings from the graph based upon the metadata to identify a set of relevant nodes;
and
provide one or more content recommendations based upon content associated with the set of relevant nodes.

17 more elements

Dependencies are inferred from the claim text.