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Recommendation system hyper-parameter determination method and device, electronic equipment and storage medium

A technology for recommending systems and determining methods, applied in the field of Internet applications, can solve problems such as poor optimization effect, and achieve the effect of reducing the optimization dimension and the number of hyperparameters

Pending Publication Date: 2022-04-29
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The present disclosure provides a method, device, electronic device and storage medium for determining hyperparameters of a recommendation system, so as to at least solve the technical problem in the related art that the optimization effect is poor for multiple optimization objectives

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  • Recommendation system hyper-parameter determination method and device, electronic equipment and storage medium
  • Recommendation system hyper-parameter determination method and device, electronic equipment and storage medium
  • Recommendation system hyper-parameter determination method and device, electronic equipment and storage medium

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Embodiment Construction

[0099] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0100] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to a recommendation system hyper-parameter determination method and device, electronic equipment and a storage medium. The method comprises the steps that multiple sets of to-be-optimized hyper-parameters which are initialized in a recommendation system are acquired; obtaining an exploration account and a reference account obtained based on grouping of the system accounts; determining a current group of to-be-optimized hyper-parameters from multiple groups of to-be-optimized hyper-parameters; generating a first recommendation result according to a current parameter value corresponding to the current group of to-be-optimized hyper-parameters, and obtaining first recommendation index data of the exploration account; generating a second recommendation result according to a preset baseline parameter, and obtaining second recommendation index data of the reference account; according to the first recommendation index data and the second recommendation index data, updating the current parameter value until a preset updating ending condition is met; wherein in each round of parameter updating process, other groups of to-be-optimized hyper-parameters, except the current group of to-be-optimized hyper-parameters, in the multiple groups of to-be-optimized hyper-parameters are fixed. According to the technical scheme provided by the invention, a relatively good optimization result can be obtained.

Description

technical field [0001] The present disclosure relates to Internet application technology, and in particular to a method, device, electronic equipment and storage medium for determining hyperparameters of a recommendation system. Background technique [0002] With the development of social economy, in order to better meet customer needs, various recommendation systems have emerged. There are a large number of business logic hyperparameters that determine system performance in recommendation systems. The adjustment of hyperparameters will involve the trade-off of business goals. important in recommender systems. In related technologies, Bayesian optimization algorithm is often used when obtaining hyperparameters of recommendation system. When using this algorithm, it is often suitable for scenarios with fewer optimization objectives, but for scenarios with more optimization objectives, better results cannot be obtained. Optimization Results. Contents of the invention [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 苏强杨光旭郑杰郑东
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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