Google Inc.

Khoros, LLC

Lithium Technologies, Inc.

Nemanja Spasojevic

Guillaume Raphael Poncin

Dan S Bloomberg

Morten Moeller

Phu Nguyen

Allison Savage

Abraham Murray

Gopal Venu Vemula

Tania Bedrax-Weiss

Frank Worsley

C J Scott Dougall

Gouning Hu

Guoning Hu

Adithya Shricharan Srinivasa Rao

Prantik Bhattacharyya

A computer-implemented system including a data store: a content items database, a user account database, and one or more servers configured to execute a computer program to perform one or more of the following: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein at least one content item is associated with an URL; estimating a post to a reaction filter for a time interval for the social network for the user, calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile.

System and method of providing a platform for managing data content campaign on social networks

A computer-implemented system is disclosed for providing a platform for managing a campaign for publishing data content on social networks to increase audience member reaction to the data content. The system comprises: a data store: a content items database, wherein data associated with content items on one or more topics that is intended to be posted on social networks are stored; a schedule database, wherein data associated with schedules for posting the content items are stored; user account database, wherein data associated with registered users are stored; one or more servers coupled to the data store, wherein the one or more servers are programmed to execute computer program steps, the computer program steps comprising: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein the one or more content items are associated with one or more URLs; estimating a post to a reaction filter for a time interval for the social network for the user, the post to a reaction filter representative of the probability distribution that a reaction to a posted content will occur within the time interval; calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile; and posting the content items on the social network in accordance with the schedule.

A method is disclosed of providing a providing a content discovery platform for optimizing social network engagements. The method is implemented in one or more servers programmed to execute the method. The method comprising retrieving social media data from registered users on one or more social networks, wherein the social media data includes one or more URLs associated with one or more articles, respectively, computing a social importance score for each URL of the one or more URLs, and ranking the one or more URLs by social importance score.

System and method of providing a content discovery platform for optimizing social network engagements

The functionality of an ereader module that is displaying an electronic book ('ebook') is extended. A user identifier specifying a user using a client device executing the ereader module and an ebook identifier specifying the ebook displayed by the ereader module are received from the client device. One or more layers associated with the user are determined. One or more layers associated with the ebook are determined. A list of one or more layers is assembled. The layer list is transmitted to the client device. The client device enables the user to select a layer and use the selected layer to interact with content of the ebook.

Extensible framework for ereader tools

A signature for a page of text is generated. The signature serves as an identifier of the text page. Positions of words in a text page are determined. Positions of multiple second words in the text page are determined relative to the position of a first word in the text page. A signature value is generated that describes the second word positions relative to the first word position. The signature value is stored. Additional signatures for the text page can be generated, each signature describing positions of other words in the text page relative to a word in the text page for which the signature is being generated. The signatures can be used to compare the text page to another text page and generate a measure of similarity that describes the result of the comparison.

Comparing text pages using image features based on word positions

Relationships between digital text volumes in a corpus are identified by comparing a plurality of digital text volumes in the corpus to identify clusters of similar volumes. For a given cluster, the pages of pairs of volumes within the cluster are compared to determine page similarity data, the page similarity data indicating degrees of similarity between the compared pages. The relationships between pairs of volumes in the clusters are classified based on the similarity data.

Growing community of inventors

San Francisco, CA, United States of America

Nemanja Spasojevic