Object recommendation method and device, storage medium and computer equipment

A recommendation method and object technology, applied in the field of data processing, can solve problems such as a sharp increase in the number of prediction model parameters, affecting the accuracy of prediction model prediction results, increasing the difficulty of prediction model training, etc., to reduce training difficulty, improve accuracy, reduce The effect of the number of parameters

A recommendation method and object technology, applied in the field of data processing, can solve problems such as a sharp increase in the number of prediction model parameters, affecting the accuracy of prediction model prediction results, increasing the difficulty of prediction model training, etc., to reduce training difficulty, improve accuracy, reduce The effect of the number of parameters

CN110209922AActive Publication Date: 2019-09-06INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Object recommendation method and device, storage medium and computer equipment
  • Object recommendation method and device, storage medium and computer equipment
  • Object recommendation method and device, storage medium and computer equipment

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Embodiment Construction

[0041] The inventors of the present invention found that when users select the objects output by the application platform, they often refer to various factors of the objects. Taking the shopping platform as an example, when users choose commodities, they usually consider the category, style, etc. of the commodities. Various parameters, and then choose the product you like, not just look at the parameters of one aspect of the product. Based on this, the inventor proposes to express the rich features of the object in more detail, that is, to use multiple semantic expressions to represent an object, so as to improve the prediction accuracy.

[0042] Moreover, in order to reduce the difficulty of training the prediction model, a semantic expression vector is proposed to represent a type of parameter, and multiple objects share the semantic expression vector of this type of parameter, which greatly reduces the number of constructed semantic expression vectors. The number of paramet...

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Abstract

Embodiments of the invention provide an object recommendation method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining various attribute information ofa target object, constructing a feature vector of the target object, and inputting the feature vector into a prediction module according to an operation sequence of each target object to obtain a prediction feature vector.Thus, the expression content of the feature vectors is enriched, the operation sequence of all the target objects is considered in the model calculation process, and the accuracy of the prediction result is improved; moreover, since the plurality of objects output by the application platform share one piece of attribute information, the number of parameters for training theprediction model is greatly reduced, the model training difficulty is reduced, and the method can be suitable for a large number of application scenarios.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to an object recommendation method, device, storage medium and computer equipment. Background technique [0002] In recent years, the popularization of the Internet has brought a large amount of information to users. While satisfying users' needs for information, users cannot quickly find useful information due to the large amount of information, which reduces the efficiency of information use. In this regard, in the fields of news, business, entertainment, etc., it is proposed to use the recommendation system to analyze the user's behavior data on the corresponding application platform, predict the user's preferences, and accordingly filter out the information that the user may be interested in in the future and push it to the user. Help users quickly and accurately select the information they need. [0003] Among them, in the existing recommendation system, it is ...

Claims

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Application Information

Patent Timeline
06 Sep 2019
Publication
CN110209922A
IPC
G06F16/9535
CPC
G06F16/9535
Inventors
吴书; 黄婷婷