Web document enhancement

• US 11,625,443 B2
• Filed: 06/04/2015
• Issued: 04/11/2023
• Est. Priority Date: 06/05/2014
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: Snap, Inc.
• Inventors: Rotem, Efrat, Krieger, Ariel, Merali, Emmanuel
• Primary Examiner(s): Lin, Allen S
• Application Number:
  US14/730,336
• Publication Number:
  US 20150356190A1
• Time in Patent Office: 2,868 Days
• Field of Search: 707709
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

A method for enhancing a presentation of a network document by a client terminal with real time social media content. The method comprises analyzing a content in a web document to identify a relation to a first of a plurality of multi participant events documented in an event dataset, each of the plurality of multi participant events is held in a geographical venue which hosts an audience of a plurality of participants, matching a plurality of event indicating tags of each of a plurality of user uploaded media content files with at least one feature of the first multi participant event to identify a group of user uploaded media content files selected from the plurality of user uploaded media content files, and forwarding at least some members of the group to a simultaneous presentation on a browser running on a client terminal and presenting the web document.

Claims

1. A method, comprising:

receiving, at an enhancement network node from a browser extension of a browser running on a client terminal, a request for content enhancement of a web document being currently displayed at the client terminal via the browser, the web document being provided to the client terminal by a third-party content network node, the request comprising a universal resource locator that identifies the web document; and

in response to the request;

accessing the web document using the universal resource locator;

analyzing a content of the accessed web document to extract a set of features from the web document;

using a machine learning process to classify the set of features to generate a set of classified features;

selecting a set of candidate events by matching the set of classified features with one or more features of events described in an event dataset;

generating a ranked set of candidate events by ranking each candidate event, in the set of candidate events, based on relevancy of a set of event features of the candidate event to the web document; and

identifying an individual event from the ranked set of candidate events;

identifying a group of user uploaded media content files, in a plurality of user uploaded media content files, by matching at least one feature of the individual event with at least one event indicating tag associated with an uploaded media content file in the plurality of user uploaded media content files, the identifying of the group of user uploaded media content files comprising;

assigning individual user uploaded media content files of the plurality of user uploaded media content files to clusters according to an analysis of the at least one event indicating tag to yield a plurality of clusters, the group of user uploaded media content files being selected from the plurality of clusters;

forwarding, from the enhancement network node to the browser extension of the browser running on the client terminal, at least one media content file of the group of user uploaded media content files, the browser extension being configured to cause a simultaneous presentation of the at least one media content file on the browser with the web document, the simultaneous presentation of the at least one media content file being separate from presentation of the web document by the browser, and the simultaneous presentation being implemented as an overlay displayed over a part of the presentation of the web document;

iteratively updating a dataset documenting the plurality of user uploaded media content files with one or more new user uploaded media content files;

updating the group of user uploaded media content files by repeating the identifying of the group of user uploaded media content files with the one or more new user uploaded media content files; and

forwarding at least one media content file of the updated group to the simultaneous presentation.

2. The method of claim 1, wherein the at least one event indicating tag comprises a tag representing at least one of a capturing location or a capturing time, and wherein the at least one feature of the individual event comprises at least one of an event time value or an area defining value.

3. The method of claim 1, wherein the request is issued by the browser extension in response to detecting access of the web document on the client terminal.

4. The method of claim 1, wherein the plurality of user uploaded media content files comprises a plurality of video files and a plurality of image files both captured by a plurality of different users and uploaded from a plurality of different client terminals.

5. The method of claim 1, wherein the event dataset is created by an analysis of content from a plurality of web documents.

6. The method of claim 1, wherein the event dataset is created based on an analysis of information about location and time of at least one of the plurality of user uploaded media content files.

7. The method of claim 1, wherein the individual event is defined by a first value setting plurality of different locations and a second value defining a common timing.

8. The method of claim 1, wherein the event dataset is created based on an analysis of a plurality of search queries submitted by a plurality of users.

9. The method of claim 1, wherein the web document is a webpage.

10. The method of claim 1, wherein the analyzing of the content of the web document comprises a natural language processing.

11. The method of claim 1, wherein the analyzing of the content of the web document is induced by the web document being loaded by the browser.

12. The method of claim 1, further comprising iteratively updating the event dataset with up-to-date multi participant events.

13. A non-transitory computer readable medium comprising computer executable instructions adapted to perform operations comprising:

receiving, at an enhancement network node from a browser extension of a browser running on a client terminal, a request for content enhancement of a web document being currently displayed at the client terminal via the browser, the web document being provided to the client terminal by a third-party content network node, the request comprising a universal resource locator that identifies the web document, the request being induced by the web document being loaded by the browser;

in response to the request;

accessing the web document using the universal resource locator;

analyzing a content of the accessed web document to extract a set of features from the web document, the analyzing the content in the web document comprising a natural language processing;

using a machine learning process to classify the set of features to generate a set of classified features;

selecting a set of candidate events by matching the set of classified features with one or more features of events described in an event dataset, the event dataset is created based on an analysis of a plurality of search queries submitted by a plurality of users;

generating a ranked set of candidate events by ranking each candidate event, in the set of candidate events, based on relevancy of a set of event features of the candidate event to the web document; and

identifying an individual event from the ranked set of candidate events;

identifying a group of user uploaded media content files, in a plurality of user uploaded media content files, by matching at least one feature of the individual event with at least one event indicating tag associated with an uploaded media content file in the plurality of user uploaded media content files, the identifying of the group of user uploaded media content files comprising;

assigning individual user uploaded media content files of the plurality of user uploaded media content files to clusters according to an analysis of the at least one event indicating tag to yield a plurality of clusters, the group of user uploaded media content files being selected from the plurality of clusters;

forwarding, from the enhancement network node to the browser extension of the browser running on the client terminal, at least one media content file of the group of user uploaded media content files, the browser extension being configured to cause a simultaneous presentation of the at least one media content file on the browser with the web document, the simultaneous presentation of the at least one media content file being separate from presentation of the web document by the browser, and the simultaneous presentation being implemented as an overlay displayed over a part of the presentation of the web document;

iteratively updating a dataset documenting the plurality of user uploaded media content files with one or more new user uploaded media content files;

updating the group of user uploaded media content files by repeating the identifying of the group of user uploaded media content files with the one or more new user uploaded media content files; and

forwarding at least one media content file of the updated group to the simultaneous presentation.

14. An enhancement network node, comprising:

a database that hosts an event dataset documenting a plurality of multi participant events, each of the plurality of multi participant events being held in a geographical venue that hosts a plurality of participants;

at least one processor;

a web document analyzer that uses the at least one processor to;

access the web document using a universal resource locator, the universal resource locator being included in a request from a browser extension of a browser running on a client terminal, the request being generated in response to the browser loading the web document;

analyze a content of the accessed web document to extract a set of features from the web document; and

using a machine learning process to classify the set of features to generate a set of classified features; and

a selection module that uses the at least one processor to;

select a set of candidate events by matching the set of classified features with one or more features of events described in an event dataset;

generate a ranked set of candidate events by ranking each candidate event, in the set of candidate events, based on relevancy of a set of event features of the candidate event to the web document;

identify an individual event from the ranked set of candidate events;

identify a group of user uploaded media content files, in a plurality of user uploaded media content files, by matching at least one feature of the individual event with at least one event indicating tag associated with an uploaded media content file in the plurality of user uploaded media content files, the identifying of the group of user uploaded media content files comprising;

assigning individual user uploaded media content files of the plurality of user uploaded media content files to clusters according to an analysis of the at least one event indicating tag to yield a plurality of clusters, the group of user uploaded media content files being selected from the plurality of clusters;

iteratively updating a dataset documenting the plurality of user uploaded media content files with one or more new user uploaded media content files; and

updating the group of user uploaded media content files by repeating the identifying of the group of user uploaded media content files with the one or more new user uploaded media content files; and

client interface module that uses the at least one processor to;

receive the request from the browser extension;

forward to the browser extension of the browser running on the client terminal, in response to the request, at least one media content file of the group of user uploaded media content files, the browser extension being configured to cause a simultaneous presentation of the at least one media content file on the browser with the web document, the simultaneous presentation of the at least one media content file being separate from presentation of the web document by the browser, and the simultaneous presentation being implemented as an overlay displayed over a part of the presentation of the web document; and

after the updating of the group of user uploaded media content files, forwarding at least one media content file of the updated group to the simultaneous presentation.

15. The enhancement network node of claim 14, wherein the analyzing of the content in the web document is induced by the web document being loaded by the browser.

16. The enhancement network node of claim 14, wherein the event dataset is created based on an analysis of a plurality of search queries submitted by a plurality of users.

17. The enhancement network node of claim 14, wherein the event dataset is created based on an analysis of information about location and time of at least one of the plurality of user uploaded media content files.

18. The enhancement network node of claim 14, wherein the individual event is defined by a first value setting plurality of different locations and a second value defining a common timing.