SEARCH RECOMMENDATION MODEL TRAINING METHOD, AND SEARCH RESULT SORTING METHOD AND DEVICE

Title:

SEARCH RECOMMENDATION MODEL TRAINING METHOD, AND SEARCH RESULT SORTING METHOD AND DEVICE

Document Type and Number:

WIPO Patent Application WO/2021/233199

Kind Code:

A1

Abstract:

A search recommendation model training method, and a search result sorting method and device. The training method comprises: obtaining a training sample set, which comprises a sample user behavior group sequence and a sample covering user behavior group sequence; and obtaining an object of a response operation of the sample user subjected to covering processing by using the training sample set as input data, and using the object as a training target to train a search recommendation model to obtain a trained search recommendation model, wherein the search recommendation model is used for, when a target user inputs a query field, predicting a tag corresponding to a candidate recommendation object in the search result corresponding to the query field; the tag is used for denoting the probability that the target user performs a response operation on the candidate recommendation object. The technical solution based on the method can improve the accuracy of the search recommendation model, thereby improving the user experience.

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Inventors:

CAI GUOHAO (CN)
WANG GANG (CN)
DONG ZHENHUA (CN)
LI XIAOGUANG (CN)
HE XIUQIANG (CN)
ZHU HONG (CN)

Application Number:

PCT/CN2021/093618

Publication Date:

November 25, 2021

Filing Date:

May 13, 2021

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Assignee:

HUAWEI TECH CO LTD (CN)

International Classes:

G06F16/9535

Foreign References:

CN106156023A	2016-11-23
CN103226569A	2013-07-31
CN103488764A	2014-01-01
CN109426826A	2019-03-05
EP3647987A1	2020-05-06
CN202010424719A	2020-05-19

Attorney, Agent or Firm:

LONGSUN LEAD IP LTD. (CN)

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