公开(公告)号：US12174824B2

公开(公告)日：2024-12-24

申请号：US18147823

申请日：2022-12-29

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Wei Xu ,  Xiaoling Xia ,  Junxiang Jiang ,  Chengtai Cao ,  Bolei He ,  Kunbin Chen ,  Wei He

IPC: G06F16/23 ,  G06F9/451 ,  G06F16/906 ,  G06F18/10 ,  G06F18/213 ,  G06F18/241 ,  G06F18/2415

Abstract: A method for denoising click data includes: acquiring a set of click data including pieces of first click data and a real label corresponding to each piece of first click data; extracting feature vectors of each piece of first click data with a graph model; dividing the feature vectors into sets of feature vectors; obtaining trained binary classification models by training binary classification models with the sets of feature vectors; for each of the feature vectors, obtaining prediction values corresponding to the feature vector by predicting the feature vector with the trained binary classification models, and calculating a prediction label of the feature vector based on the prediction values of the feature vector; and removing noise data in the pieces of first click data, based on the pieces of first click data, the real label and the prediction label of each piece of first click data.

公开(公告)号：US20220365941A1

公开(公告)日：2022-11-17

申请号：US17811716

申请日：2022-07-11

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Qiutong Pan ,  Ruigao Li ,  Yanan Li ,  Bolei He

IPC: G06F16/2457 ,  G06F16/215 ,  H04L51/04

Abstract: The disclosure provides a method for searching an instant messaging object, an electronic device and a storage medium. The method includes: receiving a search request of a first object, and determining a type of the search request; obtaining at least one recall set of the first object based on a client-side search engine in an instant messaging system in response to the type of the search request being a first type; obtaining at least one candidate object corresponding to a search keyword in the search request based on the search keyword and the at least one recall set; obtaining feature information of each candidate object; and responding to the search request by sorting the at least one candidate object based on the feature information.