US 12,437,328 B2
Method, medium, and system for social media-based recommendations
Valerie Nygaard, Saratoga, CA (US); and Ryan Lindsey Helft, Palo Alto, CA (US)
Assigned to EBAY INC., San Jose, CA (US)
Filed by eBay Inc., San Jose, CA (US)
Filed on Mar. 20, 2023, as Appl. No. 18/123,430.
Application 18/123,430 is a continuation of application No. 17/386,732, filed on Jul. 28, 2021, granted, now 11,625,762.
Application 17/386,732 is a continuation of application No. 14/457,963, filed on Aug. 12, 2014, granted, now 11,120,491.
Claims priority of provisional application 61/881,810, filed on Sep. 24, 2013.
Prior Publication US 2023/0230145 A1, Jul. 20, 2023
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01); G06Q 50/00 (2012.01)
CPC G06Q 30/0631 (2013.01) [G06Q 30/0282 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, from a user account, a request for a recommendation of an item provided by one or more other user accounts;
accessing one or more attributes associated with the user account;
accessing comments provided by the one or more other user accounts, the comments including one or more of opinions, commentary, or postings related to the item;
for each of the one or more user accounts, determining a number of previously-followed comments that are different from the accessed comments and were followed;
parsing the accessed comments to identify a set of items referred to in the accessed comments;
selecting a recommended item from the identified set of items, the recommended item being selected based on:
a weight associated with each comment of the accessed comments provided by the one or more other users;
interactions for a user account of the one or more other user accounts providing a comment; and
the one or more attributes; and
waiting to insert a recommendation into a thread of the accessed comments, the waiting reducing processor cycles;
determining that a size of the accessed comments exceeds a threshold and a momentum of a thread of the accessed comments has changed; and
generating a user interface that inserts the recommendation about the recommended item to the user based on the determination.