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Label reconstruction method and device

A label and original label technology, applied in the field of data processing, can solve the problems of high labor cost and consumption, and achieve the effect of saving labor cost, speeding up the display speed and improving the sense of experience

Active Publication Date: 2019-07-16
ALIBABA GRP HLDG LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are often tens of thousands of product categories in e-commerce platforms. If manual labeling of descriptor categories is required, it will inevitably consume high labor costs.

Method used

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  • Label reconstruction method and device
  • Label reconstruction method and device

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Embodiment Construction

[0045] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0046] In order to make it easier for those skilled in the art to understand the technical solutions provided by the embodiments of the present application, the technical environment in which the technical solutions are implemented is first described below.

[0047] The following is an example to illustrate the method of product label rec...

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Abstract

The embodiment of the invention discloses a label reconstruction method and device. The method comprises the following steps: obtaining a target product label; carrying out label reconstruction on thetarget product label by using a deep neural network model component, and generating a reconstruction label of the target product label, wherein the deep neural network model component is obtained bytraining according to a corresponding relation between a plurality of historical original tags and a plurality of historical reconstruction tags. By utilizing the embodiment of the invention, the product label can be quickly reconstructed, and the display speed of the product reconstruction label is accelerated.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a tag reconstruction method and device. Background technique [0002] On e-commerce platforms, in order to improve the search recall index and exposure opportunities of products, many descriptive words are often piled up in the displayed product labels, such as modifiers, marketing words, product words, etc. Excessive descriptors will result in product labels that are too long and contain varying degrees of redundant information. Due to the limited screen size of user client devices (mobile phones, tablet computers), fixed-length product tags are often displayed on the product search result display page. Therefore, the original overly long product tags need to be compressed. [0003] The product label reconstruction method in the prior art can mainly include two steps: (1) perform named entity recognition (NER) and term weighting on multiple descriptors in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06Q30/06
CPCG06Q30/0621G06F16/3344
Inventor 王金刚田俊峰郎君司罗
Owner ALIBABA GRP HLDG LTD
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