Systems and methods for browsing historical content

• US 9,141,703 B1
• Filed: 08/29/2013
• Issued: 09/22/2015
• Est. Priority Date: 03/31/2004
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Bharat, Krishna, Curtiss, Michael, Hess, Duane Scott, Mayer, Marissa, Cottrell, Kerah
• Primary Examiner(s): DANG, THANH HA T
• Application Number:
  US14/013,602
• Time in Patent Office: 754 Days
• Field of Search: 707/706, 707/708, 707/721, 707/738, 707/725, 707/737, 707/798
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2428 Query predicate definition using graphical user interfaces, including menus and forms G06F16/2423 takes precedence
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range

Abstract

A system graphically plots articles. The system executes one or more search queries to search stored articles and receives results of the executed one or more search queries, where the results identify selected articles of the stored articles. The system further designates a graphical marker for each of the selected articles and plots each of the graphical markers on a graphical display.

Claims

1. A method comprising:

receiving, by one or more devices, a first search query and a second search query;

identifying, by the one or more devices, a plurality of documents based on the first search query and the second search query;

generating, by the one or more devices, first visual indicators in a first group to represent first documents, of the plurality of documents, relating to the first search query;

generating, by the one or more devices, second visual indicators in a second group to represent second documents, of the plurality of documents, relating to the second search query;

generating, by the one or more devices, third visual indicators in a third group to represent third documents, of the plurality of documents, relating to the first search query and the second search query, the first group and the second group converging into the third group, and the third documents being different from the first documents and the second documents; and

providing, by the one or more devices, a graph that includes the first visual indicators, the second visual indicators, and the third visual indicators.

2. The method of claim 1, where the first visual indicators, the second visual indicators, and the third visual indicators represent a progression of the plurality of documents over time.

3. The method of claim 1, where the first search query and the first documents are related to a first topic, where the second search query and the second documents are related to a second topic, and where a relationship between the first topic and the second topic is visually depicted in the graph.

4. The method of claim 1, where identifying the plurality of documents comprises:

receiving information identifying a period of time, and

identifying the plurality of documents based on the period of time, the first search query, and the second search query.

5. The method of claim 1, further comprising:

determining a type of a particular document of the first documents, and

identifying a particular visual indicator, of the first visual indicators, based on the type of the particular document.

6. The method of claim 1, further comprising:

rendering, on the graph, a first arrow from the first group to the third group; and

rendering, on the graph, a second arrow from the second group to the third group.

7. The method of claim 1, further comprising:

identifying a selection of the second group, and

providing a listing of the second documents based on the selection of the second group.

8. A system comprising:

one or more processors to;

identify a plurality of documents;

identify a plurality of visual indicators associated with the plurality of documents;

generate first visual indicators, of the plurality of visual indicators, in a first group to represent first documents, of the plurality of documents, related to a first topic;

generate second visual indicators, of the plurality of visual indicators, in a second group to represent second documents, of the plurality of documents, related to a second topic;

group third visual indicators, of the plurality of visual indicators, in a third group to represent third documents, of the plurality of documents, related to the first topic and the second topic, the first visual indicators, the second visual indicators, and the third visual indicators representing a progression of the plurality of documents over time, and the first group and the second group converging into the third group, and the third documents being different from the first documents and the second documents; and

provide a graph that includes the first group, the second group, and the third group.

9. The system of claim 8, where the one or more processors are further to:

render, on the graph, a first arrow from the first group to the third group; and

render, on the graph, a second arrow from the second group to the third group.

10. The system of claim 8, where the first topic is a first news topic, and where the second topic is a second news topic.

11. The system of claim 8, where the one or more processors are further to:

identify a user action associated with a particular visual indicator of the first visual indicators, and

provide, for display, at least a portion of contents of a particular document, of the first documents, that is represented by the particular visual indicator.

12. The system of claim 8, where, when identifying the plurality of documents, the one or more processors are to:

receive a first search query and a second search query, the first search query relating to the first topic, the second search query relating to the second topic, and the second topic being different from the first topic, and

identify the plurality of documents based on the first search query and the second search query.

13. The system of claim 8, where a particular document, of the third documents, includes content regarding the first topic and the second topic.

14. The system of claim 8, where, when identifying the plurality of visual indicators, the one or more processors are to:

determine a type of a particular document of the first documents, and

identify a particular visual indicator, of the first visual indicators, based on the type of the particular document.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive a first search query and a second search query;

identify a plurality of documents based on the first search query and the second search query;

generate a graph, at least one dimension of the graph relating to time associated with a particular time period;

generate first visual indicators in a first group to represent a first progression of first documents, of the plurality of documents, relating to the first search query over the particular time period;

generate second visual indicators in a second group to represent a second progression of second documents, of the plurality of documents, relating to the second search query over the particular time period;

generate third visual indicators in a third group to represent a third progression of third documents, of the plurality of documents, relating to the first search query and the second search query, the first group and the second group converging into the third group, and the third documents being different from the first documents and the second documents; and

provide the graph that includes the first group, the second group, and the third group, a relationship between the first documents and the second documents being visually depicted in the graph.

16. The non-transitory computer-readable medium of claim 15, where the first group and the second group converge into the third group on the graph.

17. The non-transitory computer-readable medium of claim 15, where the first search query and the first documents are related to a first topic, where the second search query and the second documents are related to a second topic, and where the third documents are related to the first topic and the second topic.

18. The non-transitory computer-readable medium of claim 15, where the first search query and the first documents are related to a first news event, and where the second search query and the second documents are related to a second news event.

19. The non-transitory computer-readable medium of claim 15, where the instructions further comprise:

one or more instructions that, when executed by the one or more processors, cause the one or more processors to;

determine a type of a particular document of the first documents, and

identify a particular visual indicator, of the first visual indicators, based on the type of the particular document.

20. The non-transitory computer-readable medium of claim 19, where the particular visual indicator is a color, an icon, or a shape.