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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. (canceled) 2. 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. 3. The method of claim 2, wherein the website is associated with an online social network. 4. The method of claim 2, wherein the social activity is posted by a second user that is a connected to the particular user on an online social network. 5. The method of claim 2, wherein the social activity is posted by a second user determined to be an influential user of an online social network. 6. The method of claim 2, wherein the social activity is posted by a second user determined to have similar tastes to the particular user. 7. The method of claim 2, wherein the social activity is saving a recommendation for the content item. 8. The method of claim 2, wherein the social activity is at least one of commenting and discussing the content item. 9. The method of claim 2, wherein the social activity is a rating of the content item. 10. The method of claim 2, wherein the social activity describes a purchase of at least one of a product and a service. 11. The method of claim 2, wherein the content item describes a location, and the social activity posted on the website is a check-in at the location. 12. The method of claim 2, wherein the particular content item is a recommendation for at least one of a product and a service. 13. The method of claim 2, wherein the particular content item is an advertisement. 14. The method of claim 2, wherein the particular content item is a review of a product or service. 15. 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. 16. The storage medium of claim 15, wherein the social activity is saving a recommendation for the content item. 17. The storage medium of claim 15, wherein the social activity is at least one of commenting and discussing the content item. 18. The storage medium of claim 15, wherein the content item describes a location, and the social activity posted on the website is a check-in at the location. 19. The storage medium of claim 15, wherein the particular content item is a recommendation for at least one of a product and a service. 20. The storage medium of claim 15, wherein the particular content item is an advertisement. 21. 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.