DETERMINING STORIES OF INTEREST BASED ON QUALITY OF UNCONNECTED CONTENT

• US 20150365447A1
• Filed: 06/17/2014
• Published: 12/17/2015
• Est. Priority Date: 06/17/2014
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Green, Bradley Ray, Li, Jun, Klein, Gregory Joseph, Sorg, Jonathan Daniel
• Granted Patent: US 9,712,578 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/063 Content adaptation, e.g. replacement of unsuitable content
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 65/403 Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A system identifies unconnected content items of high quality and provides the unconnected content items for display to a user. The method comprises receiving several content items posted on pages of a social networking system. The system then determines a subset of those content items (e.g., high quality content items). A topic is then extracted from each of the subset of content items. The topic is mapped to one or more related pages of the social networking system that represent an expanded set of pages associated with the content item. For each of the related pages, a user is identified who is connected to the related page. Finally, the content item (e.g., a high quality content item) is provided to the user for display in the user'"'"'s newsfeed.

Claims

1. A method comprising:

receiving a plurality of content items posted on pages of a social networking system;

determining, by a processor, from the plurality of content items, a subset of content items posted on one or more pages of the social networking system;

for each of the content items of the subset;

extracting a first topic from the content item, and

mapping, by the processor, the extracted first topic to one or more related pages of the social networking system that represent an expanded set of pages associated with the content item; and

for each of the one or more related pages of the expanded set of pages;

identifying a user of the social networking system that is connected to the related page, and

providing the content item associated with the related page for display to the user.

2. The method of claim 1, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises:

receiving a user interaction rate associated with each of the plurality of content items posted on the social networking system;

responsive to the user interaction rate indicating a positive reaction to the content item, including the content item in the subset as a high quality content item; and

responsive to the user interaction rate indicating a negative reaction to the content item, excluding the content item from the subset.

3. The method of claim 2, wherein the user interaction rate is associated with how often users of the social networking system share or hide the content item with other users.

4. The method of claim 1, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises performing a lexical analysis on each of the plurality of content items, the lexical analysis determining one or more qualities selected from the group consisting of spelling correctness, grammatical correctness, and vocabulary choice.

5. The method of claim 1, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises performing a semantic analysis on each of the plurality of content items, the semantic analysis determining whether the content item discloses multiple diffuse topics or related topics.

6. The method of claim 1, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises determining whether each of the plurality of content items is trending.

7. The method of claim 1, wherein the content item provided for display to the user is a one that is determined to be a high quality content item, and wherein the user is not connected to the page on which the high quality content item is posted.

8. The method of claim 1, wherein mapping the extracted first topic to one or more related pages comprises:

identifying a hashtag associated with the extracted first topic;

identifying one or more related pages that are associated with the hashtag; and

associating the extracted first topic with the one or more related pages.

9. The method of claim 1, wherein mapping the extracted first topic to one or more related pages comprises:

identifying a second user, the second user having interacted with the page to which the content item was posted;

identifying one or more related pages with which the second user has also interacted; and

associating the extracted first topic to the one or more related pages.

10. The method of claim 1, further comprising, prior to providing the content item associated with the related page for display to the user:

transmitting the content item to a review agent; and

receiving, from the review agent, a positive response indicating approval of the content item.

11. The method of claim 1, wherein the content item associated with the related page is a high quality content item, and wherein the method further comprises:

identifying one or more additional high quality content items;

for each of the one or more additional high quality content items;

extracting a second topic from the additional high quality content item; and

determining that the extracted second topic is related to the extracted first topic; and

prior to providing the high quality content item associated with the related page for display to the user;

clustering the high quality content item with the one or more additional high quality content items, and

selecting the high quality content item as a best content item of the cluster for display to the user.

12. The method of claim 1, wherein the mapping comprises a further mapping of the related pages to one or more additional pages that are also included in the expanded set of pages associated with the content item.

18. The computer program product of claim 1, wherein the content item provided for display to the user is a one that is determined to be a high quality content item, and wherein the user is not connected to the page on which the high quality content item is posted.

13. A computer program product comprising a computer-readable storage medium containing computer program code for:

receiving a plurality of content items posted on pages of a social networking system;

determining, by a processor, from the plurality of content items, a subset of content items posted on one or more pages of the social networking system;

for each of the content items of the subset;

extracting a first topic from the content item, and;

mapping, by the processor, the extracted first topic to one or more related pages of the social networking system that represent an expanded set of pages associated with the content item; and

for each of the one or more second related pages;

identifying a second user of the social networking system that is connected to the second related page, and

providing the content item associated with the related page for display to the user.

14. The computer program product of claim 13, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises:

receiving a user interaction rate associated with each of the plurality of content items posted on the social networking system;

responsive to the user interaction rate indicating a positive reaction to the content item, including the content item in subset as a high quality content item; and

responsive to the user interaction rate indicating a negative reaction to the content item, excluding the content item from the subset.

15. The computer program product of claim 14, wherein the user interaction rate is associated with how often users of the social networking system share or hide the content item with other users.

16. The computer program product of claim 13, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises performing a lexical analysis on each of the plurality of content items, the lexical analysis determining one or more qualities selected from the group consisting of spelling correctness, grammatical correctness, and vocabulary choice.

17. The computer program product of claim 13, wherein the subset of content items are determined to be high quality content items, and wherein the determination of the high quality content items comprises performing a semantic analysis on each of the plurality of content items, the semantic analysis determining whether the content item discloses multiple diffuse topics or related topics.

19. The computer program product of claim 13, the computer-readable storage medium further storing instructions for:

prior to providing the content item associated with the related page for display to the user;

transmitting the content item to a review agent; and

receiving, from the review agent, a positive response indicating approval of the content item.

20. The computer program product of claim 13, wherein the content item associated with the related page is a high quality content item, and wherein the computer-readable storage medium further stores instructions for:

identifying one or more additional high quality content items;

for each of the one or more additional high quality content items;

extracting a second topic from the additional high quality content item;

determining that the extracted second topic is related to the extracted first topic; and

prior to providing the high quality content item associated with the related page for display to the user;

clustering the high quality content item with the one or more additional high quality content items, and

selecting the high quality content item as a best content item of the cluster for display to the user.