公开(公告)号：US11593855B2

公开(公告)日：2023-02-28

申请号：US14984578

申请日：2015-12-30

Applicant: eBay Inc.

Inventor： Nadia Vase ,  David Goldberg

IPC: G06N20/00 ,  G06Q30/0601 ,  G06F16/33 ,  G06N7/00

Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.

公开(公告)号：US20170193579A1

公开(公告)日：2017-07-06

申请号：US14986203

申请日：2015-12-31

Applicant: eBay Inc.

Inventor： David Goldberg ,  Yuanjie Liu ,  Xiaoyuan Wu ,  Nadia Vase

IPC: G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0625 ,  G06Q30/0201

Abstract: In various example embodiments, a system and method for computing price demand of a query that can be used by a search system to rank search results. Computing a user event aggregation by contribution for each of the past user sessions to produce updated session-based sets of user events based on a condition related to a general-specific relationship between two queries in a past user session. Computing a user event aggregation of queries from multiple sessions to combine the updated session-based sets of user events for a same query from the past user sessions to produce multiple session sets of user events for each query. The multiple session sets of user events for a query defining price points used in determining price demand for the query.

公开(公告)号：US20170193072A1

公开(公告)日：2017-07-06

申请号：US14984578

申请日：2015-12-30

Applicant: eBay Inc.

Inventor： Nadia Vase ,  David Goldberg

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06N20/00 ,  G06F16/3334 ,  G06N7/005

Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.