User similarity-based cross-domain scoring method and scoring device

A user similarity and similarity technology, applied in the field of network recommendation, can solve problems such as user cold start

Inactive Publication Date: 2018-09-28
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The embodiment of the present application provides a cross-domain scoring method and scoring device based on user similarity, which are used to solve the problem of cold start of potential users in the target field

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  • User similarity-based cross-domain scoring method and scoring device

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Embodiment Construction

[0091] The embodiment of the present application provides a cross-domain scoring method and scoring device based on user similarity, which are used to solve the problem of cold start of potential users in a target domain.

[0092] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and 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 such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly liste...

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Abstract

The embodiments of the present invention disclose a user similarity-based cross-domain scoring method and a scoring device. The invention aims to solve the problem of cold start of potential users ina target domain. The method provided by the embodiments of the present invention includes the following steps that: a user-item scoring matrix in a target domain and a user-item scoring matrix in an auxiliary domain are obtained, users in the target domain are included in users in the auxiliary domain; the values of similarity between the users in the auxiliary domain are obtained according to theuser-item scoring matrix of the auxiliary domain; and the predicted scores of the users in the auxiliary domain for corresponding target items in the target domain are calculated according to the values of similarity between the users in the auxiliary domain and the user-item scoring matrix in the target domain, wherein the target items are items which are not scored in the target domain by the users in the auxiliary domain. The embodiments of the present invention further provide a scoring device for solving the problem of the cold start of potential users in the target domain.

Description

technical field [0001] The invention relates to the technical field of network recommendation, in particular to a cross-domain scoring method and scoring equipment based on user similarity. Background technique [0002] In this era of information explosion, how to enable users to quickly and efficiently obtain the required information from the vast ocean of data is becoming more and more urgent, so personalized recommendation systems are widely used to help users explore and discover new and interesting content. Collaborative filtering is a commonly used method in personalized recommendation systems, and rich user behavior data is a necessary condition for accurate recommendation of collaborative filtering algorithms. However, most practical recommendation systems face the problem of missing data, which usually manifests In terms of data sparseness and cold start, data sparseness means that a single user only acts on a part of the massive projects, and cold start means that ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG16Z99/00
Inventor 程萌熊安斌张锋
Owner HUAWEI TECH CO LTD
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