Systems and methods for throttling click bait

Patent metadata

Field	Value
Publication number	US-10282384-B2
Application number	US-201414584087-A
Country	US
Kind code	B2
Filing date	Dec 29, 2014
Priority date	Dec 29, 2014
Publication date	May 7, 2019
Grant date	May 7, 2019

Abstract

Systems, methods, and non-transitory computer readable media configured to determine a value of a utility factor associated with a content item corresponding to a link. An optimized utility value relating to an interaction type of an outbound click is determined based on the value of the utility factor. An expected utility score associated with the content item is generated based on the optimized utility value to determine potential presentation of the content item to a user.

First claim

What is claimed is:

1. A computer-implemented method comprising:
creating, by a computing system, a histogram of count values relating to a number of members who consumed the content item based on a time duration of each instance of consumption of the content item by the members;
determining, by the computing system, a normalized factor value associated with a content item corresponding to a link based on information relating to the histogram;
predicting, by the computing system, whether the content item is likely click bait based on the normalized factor value associated with the content item;
determining, by the computing system, a value of a utility factor to be less than one when the content item corresponding to a link is predicted to be click bait;
determining, by the computing system, an optimized utility value relating to an interaction type of an outbound click based on the value of the utility factor;
generating, by the computing system, an expected utility score associated with the content item based on the optimized utility value to determine potential presentation of the content item to a user; and
presenting, by the computing system, the content item to a user if a threshold is satisfied by the expected utility score associated with the content item.

2. The computer-implemented method of claim 1 , wherein the creating a histogram comprises:
determining the time durations of instances of consumption of the content item by members.

3. The computer-implemented method of claim 1 , wherein the creating a histogram comprises:
creating buckets with each bucket having an associated time interval.

4. The computer-implemented method of claim 3 , wherein the creating a histogram comprises:
determining a center time for each bucket.

5. The computer-implemented method of claim 4 , wherein the creating a histogram comprises:
determining for each bucket a count value relating to a number of members who consumed the content item over a time duration within a time interval associated with the bucket.

6. The computer-implemented method of claim 1 , wherein the determining a value of a utility factor comprises:
performing a mapping to produce the value of the utility factor based on the normalized factor value associated with the content item.

7. The computer-implemented method of claim 6 , wherein the determining a value of a utility factor further comprises:
based on the mapping, assigning the value of the utility factor to be less than one when the content item is predicted to be click bait.

8. A system comprising:
at least one processor; and
a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
creating a histogram of count values relating to a number of members who consumed the content item based on a time duration of each instance of consumption of the content item by the members;
determining a normalized factor value associated with a content item corresponding to a link based on information relating to the histogram;
predicting whether the content item is likely click bait based on the normalized factor value associated with the content item;
determining a value of a utility factor to be less than one when the content item corresponding to a link is predicted to be click bait;
determining an optimized utility value relating to an interaction type of an outbound click based on the value of the utility factor;
generating an expected utility score associated with the content item based on the optimized utility value to determine potential presentation of the content item to a user; and
presenting, by the computing system, the content item to a user if a threshold is satisfied by the expected utility score associated with the content item.

9. The system of claim 8 , wherein the creating a histogram comprises:
determining the time durations of instances of consumption of the content item by members.

10. The system of claim 8 , wherein the determining a value of a utility factor comprises:
performing a mapping to produce the value of the utility factor based on the normalized factor value associated with the content item.

11. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:
creating a histogram of count values relating to a number of members who consumed the content item based on a time duration of each instance of consumption of the content item by the members;
determining a normalized factor value associated with a content item corresponding to a link based on information relating to the histogram;
predicting whether the content item is likely click bait based on the normalized factor value associated with the content item;
determining a value of a utility factor to be less than one when the content item corresponding to a link is predicted to be click bait;
determining an optimized utility value relating to an interaction type of an outbound click based on the value of the utility factor;
generating an expected utility score associated with the content item based on the optimized utility value to determine potential presentation of the content item to a user; and
presenting, by the computing system, the content item to a user if a threshold is satisfied by the expected utility score associated with the content item.

12. The non-transitory computer-readable storage medium of claim 11 , wherein the creating a histogram comprises:
determining the time durations of instances of consumption of the content item by members.

13. The non-transitory computer-readable storage medium of claim 11 , wherein the determining a value of a utility factor comprises:
performing a mapping to produce the value of the utility factor based on the normalized factor value associated with the content item.

Assignees

• Facebook Inc

Inventors

• Tang Joyce
• El-Arini Khalid Bakry
• Vickrey David

Classifications

• G06F16/951

  Indexing; Web crawling techniques · CPC title

• G06F16/9535

  Search customisation based on user profiles and personalisation · CPC title

• H04L67/22

  Electricity · mapped topic

• G06F16/958 Primary

  Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking · CPC title

• H04L51/12

  Electricity · mapped topic