Training method of recommendation model, recommendation method and computer-readable storage medium

A training method and model technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as limiting the performance of recommendation systems, achieve the effects of improving recommendation performance, enriching training data, and alleviating cold start problems

Active Publication Date: 2022-02-22
SHENZHEN MINIEYE INNOVATION TECH CO LTD
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Problems solved by technology

However, data sparsity problem and cold start problem are still important factors limiting the performance of recommender systems

Method used

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  • Training method of recommendation model, recommendation method and computer-readable storage medium
  • Training method of recommendation model, recommendation method and computer-readable storage medium
  • Training method of recommendation model, recommendation method and computer-readable storage medium

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0034] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of this application and the above drawings are used to distinguish similar planning objects and do not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances; in other words, the described ...

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Abstract

The present invention provides a training method for a recommendation model, comprising: initializing parameters of the training model, wherein the training model includes a first self-encoder, a first item encoder, a first user encoder, a first decoder, a second The self-encoder, the second item encoder, the second user encoder and the second decoder; obtain training data, wherein the training data includes the first initial score vector of the source domain, the first user content vector, and the first item content vector and the second initial scoring vector, the second user content vector, and the second item content vector of the target domain; the training model is trained according to the training data, and the second user encoder, the second item encoder and the second decoder are used as recommendation Model. The technical scheme of the present invention effectively solves the data sparse problem and the cold start problem.

Description

technical field [0001] The present invention relates to the technical field of computer recommendation algorithms, in particular to a training method for a recommendation model, a recommendation method and a computer-readable storage medium. Background technique [0002] With the continuous development and popularization of Internet technology, a large number of alternative information resources are generated all the time on the Internet, and the personalized recommendation system has become an important technical means to extract effective information from cumbersome and complex data. [0003] Most existing recommender systems only target a single domain. In a single field, the recommendation system can effectively recommend items similar to users' preferences by exploring the user's preferences for items and the characteristics of the items, or recommend them based on users similar to their preferences. However, data sparsity problem and cold start problem are still impor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/08G06N3/045
Inventor 刘国清杨广王启程郑伟刘明洋杨国武
Owner SHENZHEN MINIEYE INNOVATION TECH CO LTD
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