Systems and methods for implementing a news round table

Patent metadata

Field	Value
Publication number	US-9760629-B1
Application number	US-201213615874-A
Country	US
Kind code	B1
Filing date	Sep 14, 2012
Priority date	Dec 29, 2004
Publication date	Sep 12, 2017
Grant date	Sep 12, 2017

Abstract

A system aggregates documents from multiple genres of data sources, where the multiple genres of data sources may include news sources, blogs, news groups, and discussion groups. The system groups the aggregated documents into one or more clusters, where each of the one or more clusters relates to a same topic. The system further classifies each of the one or more clusters into one or more taxonomies and archives each cluster with its respective classifications.

First claim

What is claimed is:

1. A computer-implemented method comprising:
receiving, by one or more processors, a search query from a user device via a network;
determining, by the one or more processors and based on the search query, clusters of documents that are associated with the search query, the clusters of documents being related to different topics;
providing on a graphical user interface of a user device, by the one or more processors and for presentations in a first section of a document, information regarding a plurality of the clusters of documents, the information identifying one or more respective documents associated with each cluster of the plurality of clusters of documents, and the one or more respective documents being aggregated from different genres and being related to a common topic;
providing on the graphical user interface of the user device, by the one or more processors and for presentation in a second section of the document, user comments from a first user related to at least one cluster of the plurality of clusters of documents, wherein the first section of the document is different from the second section of the document;
receiving, by the one or more processor, a rating from a second user for the user comments, where the rating is based on a relevance, depth, or usefulness of at least one user comment;
providing, by the one or more processor, a discussion forum for the user comments, the discussion forum allowing a second user to comment on the user comments;
ranking, by the one or more processors and for presentation in the second section of the document, the user comments based on the rating from the second user, wherein the ranking the user comments further comprises: ranking comments of the user comments, posted by users who are named in a document of at least one cluster of the plurality of clusters of documents, higher than comments of the user comments that are posted by users who are not named in a document of the at least one cluster; and
receiving the user comments related to the clusters of documents; and storing, in a memory of a computer, the received user comments.

2. The method of claim 1 , where providing the user comments comprises: ranking the user comments; and providing, for presentation, the ranked user comments.

3. The method of claim 2 , where ranking the user comments comprises:
determining whether users corresponding to the user comments are accredited users or unaccredited users; and
ranking the user comments corresponding to the accredited users higher than the user comments corresponding to the unaccredited users.

4. The method of claim 2 , where ranking the user comments comprises: ranking the user comments based on a measure of freshness associated with the user comments.

5. The method of claim 1 , further comprising: receiving one or more comments related to the clusters of documents; and storing, in the memory, the received one or more comments.

6. The method of claim 5 , further comprising: compiling the received one or more comments into a blog.

7. A device comprising:
a memory to store instructions; and a processor to execute the instructions to:
receive a search query from a user device via a network;
determine, based on the search query, clusters of documents that are associated with the search query, the clusters of documents being related to different topics;
provide on a graphical user interface of the user device, for presentation in a first section of a document, information regarding a plurality of the clusters of documents, the information identifying one or more respective documents associated with each cluster of the plurality of clusters of documents, and the one or more respective documents being aggregated from different genres and being related to a common topic;
provide on the graphical user interface of the user device, for presentation in a second section of the document, user comments from a first user related to at least one cluster of the plurality of clusters of documents, wherein the first section of the document is different from the second section of the document;
receive a rating from a second user for the user comments, where the rating is based on a relevance, depth, or usefulness of at least one user comment;
provide a discussion forum for the user comments, the discussion forum allowing a second user to comment on the user comments;
rank, for presentation in the second section of the document, the user comments based on the rating from the second user, wherein the ranking the user comments further comprises: rank comments of the user comments, posted by users who are named in a document of at least one cluster of the plurality of clusters of documents, higher than comments of the user comments that are posted by users who are not named in a document of the at least one cluster; and
receive the user comments related to the clusters of documents; and storing, in a memory of a computer, the received user comments.

8. The device of claim 7 , where, when providing the user comments, the processor is further to: rank the user comments; and provide, for presentation, the ranked user comments.

9. The device of claim 8 , where, when ranking the user comments, the processor is further to: determine whether users corresponding to the user comments are accredited users or unaccredited users; and
rank the user comments corresponding to the accredited users higher than the user comments corresponding to the unaccredited users.

10. The device of claim 8 , where, when ranking the user comments, the processor is further to: rank the user comments based on a measure of freshness associated with the user comments.

11. The device of claim 7 , where the processor is further to: receive one or more comments related to the clusters of documents; and store the received one or more comments.

12. The device of claim 11 , where the processor is further to: compile the received on or more comments into a blog.

13. A non-transitory computer-readable storage medium storing one or more instructions which, when executed by at least one processor, cause the at least one processor to:
receive a search query from a user device via a network;
determine, based on the search query, clusters of documents that are associated with the search query, the clusters of documents being related to different topics;
provide on a graphical user interface of the user device, for presentation in a first section of a document, information regarding a plurality of the clusters of documents, the information identifying one or more respective documents associated with each cluster of the plurality of clusters of documents, and the one or more respective documents being aggregated from different genres and being related to a common topic;
provide on the graphical user interface of the user device, for presentation in a second section of the document, user comments from a first user related to at least one cluster of the plurality of clusters of documents, wherein the first section of the document is different from the second section of the document;
receive a rating from a second user for the user comments, where the rating is based on a relevance, depth, or usefulness of at least one user comment;
provide a discussion forum for the user comments, the discussion forum allowing a second user to comment on the user comments;
rank, for presentation in the second section of the document, the user comments based on the rating from the second user, wherein the ranking the user comments further comprises: rank comments of the user comments, posted by users who are named in a document of at least one cluster o

Assignees

• Bharat Krishna
• Stoll Nathan
• Mayer Marissa
• Google Inc

Inventors

• Bharat Krishna
• Stoll Nathan
• Mayer Marissa

Classifications

• G06F16/35 Primary

  Clustering; Classification · CPC title

• G06F17/30705 Primary

  Physics · mapped topic