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Product recommendation method, device and terminal

A recommendation method and product technology, applied in the field of data processing, can solve the problems of slow recommendation speed and long recommendation time, and achieve the effects of improving recommendation speed, reducing redundant calculations, and shortening recommendation time

Inactive Publication Date: 2019-03-12
CHINA MOBILE COMM LTD RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a product recommendation method, device, and terminal to solve the problems that the existing product recommendation method recommends too slowly and takes too long to recommend

Method used

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  • Product recommendation method, device and terminal
  • Product recommendation method, device and terminal
  • Product recommendation method, device and terminal

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0040] In order to facilitate the understanding of the present invention, first, the product-to-product similarity table (similarity table for short) and the matched product table involved in the embodiment of the present invention are described.

[0041] Similarity table:

[0042] In the embodiment of the present invention, the similarity table lists the correspondence between candidate recommended products and at least one similar product. According...

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Abstract

A method for recommend a product, Devices and terminals, wherein the product recommendation method comprises: creating Matched Product Table, wherein the key values in the matched product table are similar product information, the dictionary value is candidate recommended product information corresponding to the similar product information, According to the history product information of the user,the matched product table is queried to obtain a set of candidate recommended products matching the history product information, the matching scores of each candidate recommended product in the set of candidate recommended products and the user are obtained respectively, and the product recommendation is performed according to the matching scores. The scheme of the invention can reduce a large number of redundant calculations, improve the recommendation speed and shorten the recommendation time.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a product recommendation method, device and terminal. Background technique [0002] Currently, recommendation engines are often used to recommend products to users in a personalized way, thereby improving customer experience and increasing the click-through rate of platform operators. For sparse history inputs, matrix factorization-based collaborative filtering (including the ALS algorithm) generally suffers from the difficulty of decomposing the matrix into two low-rank matrices. Especially in big data scenarios. Based on this, the current method of recommending products to users is often divided into two steps: the first step is to calculate the correlation of a pair of products to obtain a large matrix, and then sort according to the similarity to obtain the most similar products for each product ; The second step is for each user, traverse the products that ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0255G06Q30/0631
Inventor 孙宝华何志敏李俭
Owner CHINA MOBILE COMM LTD RES INST
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