Interestingness recommendations in a computing advice facility
AssigneeeBay Inc.
InventorsThomas Pinckney, Christopher Dixon, Matthew Ryan Gattis
Life of this patent
Estimating the term…
Abstract
The present disclosure provides a recommendation to a user through a computer-based advice facility, comprising collecting topical information, wherein the collected topical information includes an interestingness aspect; filtering the collected topical information based on the interestingness aspect; determining an interestingness rating from the collected topical information, wherein the determining is through the computer-based advice facility; and providing a user with the recommendation related to the topical information based on the interestingness rating.
Claims21
(canceled)
A computer-implemented method comprising:
- detecting an acceleration in social activity associated with a content item posted on a website;
- determining, based on the detected acceleration in social activity, that the content item is relevant to a particular user;
- and
- providing a recommendation of the content item to the particular user, based on the determining that the content item is relevant to the particular user.
A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
- detecting an acceleration in social activity associated with a content item posted on a website;
- determining, based on the detected acceleration in social activity, that the content item is relevant to a particular user;
- and
- providing a recommendation of the content item to the particular user, based on the determining that the content item is relevant to the particular user.
A system comprising:
- a machine including a memory and at least one processor;
- and
- a recommendation module, executable by the machine, configured to:
- detect an acceleration in social activity associated with a content item posted on a website;
- determine, based on the detected acceleration in social activity, that the content item is relevant to a particular user;
- and
- provide a recommendation of the content item to the particular user, based on the determining that the content item is relevant to the particular user.
Dependencies are inferred from the claim text.