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Recommendation information generation method and device

A technology for recommending information and generating devices, applied in the field of machine learning, can solve problems such as poor shopping experience, and achieve the effect of overcoming data sparsity and improving surprise

Pending Publication Date: 2019-08-09
JINGDONG TECH HLDG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This will give users a bad shopping experience

Method used

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  • Recommendation information generation method and device
  • Recommendation information generation method and device
  • Recommendation information generation method and device

Examples

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Embodiment Construction

[0067] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solution...

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Abstract

The invention provides a recommendation information generation method and device. The recommendation information generation method comprises the following steps: setting a plurality of weight values of a plurality of recommendation algorithms; obtaining a plurality of groups of to-be-recommended objects output by the plurality of recommendation algorithms according to user behavior data, wherein the user behavior data comprises behavior types and behavior times of a user on the plurality of objects; and generating recommendation information for the user according to the plurality of weight values and the plurality of groups of objects to be recommended. According to the recommendation information generation method provided by the invention, the surprising degree of the user can be improved, and more satisfactory recommendation objects are provided for the user.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and in particular, to a method and device for generating recommendation information. Background technique [0002] With the rise of the Internet, especially the mobile Internet, mining valuable information from massive amounts of information and data and presenting it to users has become the core function of major mainstream applications such as e-commerce, social networking, news, audio and video. Recommender systems are software tools and techniques that recommend desired items to users. They are a very valuable method for online users to deal with information overload and are the most powerful and popular tools in the field of e-commerce. [0003] Existing recommendation systems generally use a single recommendation algorithm to implement the entire system, including collaborative filtering-based recommendation algorithms and content-based recommendation algorithms. The exis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 李伟孙俊叶璐黄正元徐文文龚杰
Owner JINGDONG TECH HLDG CO LTD
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