US 12,124,522 B2
Search result identification using vector aggregation
Daniel Tunkelang, Mountain View, CA (US); Aritra Mandal, Campbell, CA (US); and Zhe Wu, Mountain View, CA (US)
Assigned to eBay Inc., San Jose, CA (US)
Filed by eBay Inc., San Jose, CA (US)
Filed on Dec. 31, 2021, as Appl. No. 17/646,695.
Prior Publication US 2023/0214432 A1, Jul. 6, 2023
Int. Cl. G06F 16/9532 (2019.01); G06F 16/9535 (2019.01); G06Q 30/0601 (2023.01)
CPC G06F 16/9532 (2019.01) [G06F 16/9535 (2019.01); G06Q 30/0625 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A computerized method for returning search results performed by one or more processors, the method comprising:
mapping collected search queries to a subset of search results determined based on interaction tracking of the collected search queries, wherein search results comprise item descriptions;
determining item vectors for the item descriptions of the subset of search results;
aggregating the item vectors of the item descriptions of the subset of search results to determine an aggregate item description vector for each collected search query, wherein the aggregating averages the item vectors using a weighted averaged determined from the interaction tracking;
matching a search query to a collected search query associated with an aggregate item vector; and
executing a search for the search query using the aggregate item vector of the matching collected search query to identify a set of search results for the search query.