CONFIGURING A WEB FEED

• US 20160196267A1
• Filed: 01/05/2015
• Published: 07/07/2016
• Est. Priority Date: 01/05/2015
• Status: Abandoned Application

• Current Assignee: LinkedIn Corporation (Microsoft Corporation)
• Original Assignee: Linkedln Corporation
• Inventors: Hill, Shane S., Hansen, Axel R., Varon, Jonah L.
• Application Number:
  US14/589,843
• Publication Number:
  US 20160196267A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

A system, apparatus, and method are provided for configuring web feeds for users/subscribers. A user identifies a topic of interest, which may be a person, organization, event, place, concept, or other thing. A content processor analyzes content items received from a multitude of publishers'"'"' feed to identify their topics. A relevance score regarding each associated topic is calculated for each of the received items and, for each user that subscribed to the topic, the item'"'"'s relevance score is compared to a user-specific threshold relevance score to determine whether to add it to the user'"'"'s feed. The threshold relevance score for a topic for a user is computed based on factors such as the average relevance scores of the topic'"'"'s content items, the standard deviation, the user'"'"'s relationship with the topic, a target frequency with which items corresponding to the topic should be offered to the user, etc.

Claims

1. A computer-implemented method of configuring a web feed, the method comprising:

identifying a first content topic selected by a user;

computing a threshold relevance score for the first topic, based on;

an average relevance score of a plurality of content items corresponding to the first topic;

a standard deviation of the relevance scores of the plurality of content items; and

a target frequency for including in the web feed content items corresponding to the first topic; and

for each new content item corresponding to the first topic;

calculating a relevance score for the content item; and

adding the content item to the web feed only if the relevance score exceeds the threshold relevance score.

2. The method of claim 1, wherein the first topic is one of:

a person; and

an organization.

3. The method of claim 2, wherein computing the threshold relevance score is also based on:

an average number of times the first topic is mentioned in the plurality of content items.

4. The method of claim 2, further comprising determining the target frequency by:

identifying relationships between the user and the first topic in one or more social media services.

5. The method of claim 4, wherein determining the target frequency comprises:

increasing the target frequency in proportion to a number of relationships between the user and the first topic in the one or more social media services.

6. The method of claim 1, further comprising determining the target frequency by:

delivering to the user multiple versions of the web feed;

recording manipulation of the multiple versions of the web feed by the user, wherein the manipulation includes accessing multiple content items provided in the multiple versions of the web feed; and

identifying a frequency with which the user accesses, within the multiple versions of the web feed, content items that correspond to the first topic.

7. The method of claim 1, wherein said calculating a relevance score for a content item comprises:

quantifying a quality of a source of the content item;

identifying a number of times the content item mentions the first topic; and

calculating a cluster size of the content item.

8. The method of claim 1, wherein said adding comprises:

including the content item in a pending queue associated with the user; and

de-duplicating the content item against other content items in the pending queue;

wherein the pending queue is different than a static queue associated with the user, in which content items previously presented to the user are retained in the order the previously presented content items were presented.

9. The method of claim 8, further comprising:

preparing a new version of the web feed to present to the user;

de-duplicating each content item in the pending queue against content items in the static queue; and

sorting the content items in the pending queue according to (a) the relevance scores calculated for the content items and (b) topics corresponding to the content items, including the first topic.

10. An apparatus for configuring a web feed, comprising:

one or more processors; and

a non-transitory memory storing instructions that, when executed by the one or more processors, cause the apparatus to;

identify a first content topic selected by a user;

compute a threshold relevance score for the first topic, based on;

an average relevance score of a plurality of content items corresponding to the first topic;

a standard deviation of the relevance scores of the plurality of content items; and

a target frequency for including in the web feed content items corresponding to the first topic; and

for each new content item corresponding to the first topic;

calculate a relevance score for the content item; and

add the content item to the web feed only if the relevance score exceeds the threshold relevance score.

11. A system for configuring a web feed, comprising:

one or more processors;

a content topic module comprising a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the system to identify a first content topic selected by a user;

a threshold relevance calculator module comprising a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the system to compute a threshold relevance score for the first topic, based on;

an average relevance score of a plurality of content items corresponding to the first topic;

a standard deviation of the relevance scores of the plurality of content items; and

a target frequency for including in the web feed content items corresponding to the first topic; and

an indexer module comprising a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the system to, for each new content item corresponding to the first topic;

calculate a relevance score for the content item; and

add the content item to the web feed only if the relevance score exceeds the threshold relevance score

12. The system of claim 11, wherein the first topic is one of:

a person; and

an organization.

13. The system of claim 12, wherein computing the threshold relevance score is also based on:

an average number of times the first topic is mentioned in the plurality of content items.

14. The system of claim 12, wherein the non-transitory computer-readable medium of the threshold relevance calculator module further stores instructions that, when executed by the one or more processors, cause the system to determine the target frequency by:

identifying relationships between the user and the first topic in one or more social media services;

increasing the target frequency in proportion to a number of relationships between the user and the first topic in the one or more social media services.

15. The system of claim 11, wherein the non-transitory computer-readable medium of the threshold relevance calculator module further stores instructions that, when executed by the one or more processors, cause the system to determine the target frequency by:

delivering to the user multiple versions of the web feed;

recording manipulation of the multiple versions of the web feed by the user, wherein the manipulation includes accessing multiple content items provided in the multiple versions of the web feed; and

identifying a frequency with which the user accesses, within the multiple versions of the web feed, content items that correspond to the first topic.

16. The system of claim 11, wherein said calculating a relevance score for a content item comprises:

quantifying a quality of a source of the content item;

identifying a number of times the content item mentions the first topic; and

calculating a cluster size of the content item.

17. The system of claim 11, wherein said adding comprises:

including the content item in a pending queue associated with the user; and

de-duplicating the content item against other content items in the pending queue;

wherein the pending queue is different than a static queue associated with the user, in which content items previously presented to the user are retained in the order the previously presented content items were presented.

18. The system of claim 17, further comprising a feed configuration module comprising a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the system to:

prepare a new version of the web feed to present to the user;

de-duplicate each content item in the pending queue against content items in the static queue; and

sort the content items in the pending queue according to (a) the relevance scores calculated for the content items and (b) topics corresponding to the content items, including the first topic.

19. The system of claim 11, wherein the non-transitory computer-readable storage medium of the indexer module further comprises instructions that, when executed by the one or more processors, cause the system to:

receive the new items from a content processor and, with each new item, information identifying at least one topic of each new item, including the first topic; and

compare the relevance score of each new content item to the threshold relevance score.