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Item scoring prediction method and apparatus

A scoring prediction and item technology, applied in the field of data processing, can solve problems such as inaccurate item scoring prediction, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-07-27
HISENSE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a method and device for item rating prediction, which solves the problem of inaccurate user rating prediction for items due to the high sparsity of the existing user-item rating matrix

Method used

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  • Item scoring prediction method and apparatus
  • Item scoring prediction method and apparatus

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Embodiment Construction

[0023] 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 only some, not all, embodiments of the present invention. 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.

[0024] The execution subject of the item rating prediction method provided in the embodiment of the present invention may be an item rating prediction device, or a terminal device for executing the above item rating prediction method. Specifically, the mobile terminal may be a smart TV, a smart phone, a tablet computer, a notebook computer, an ultra-mobile personal computer (English: Ultra-mobile Personal Computer, UMPC for short), a netbook, a personal digital assi...

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Abstract

The invention provides an item scoring prediction method and an apparatus which relate to the technical field of data processing to address the problem in the prior art of failing to have items recommended to users accurately due to the fact that a traditional recommendation system cannot tell similar users for a user. The method is performed through the following steps: obtaining the scoring information of a user to one item; based on the scoring information of the user to the item, generating a user-item type scoring matrix; determining targeted users and similar users based on the user-item type scoring matrix; based on the user-item type scoring matrix and the scoring information of the user to the item, calculating the predicted scorings of an to-be-scored item by the similar users of the targeted users and of the to-be-scored item of targeted users by similar users without scoring; and finally, based on the scoring to the to-be-scored item of targeted users by the similar users of the target users, scoring the to-be-scored items. The invention is provided to recommend items.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for predicting item ratings. Background technique [0002] User ratings on items are one of the important components of item recommendation systems, which can directly reflect the user's preference for items. Generally, we can capture the preferences of a single user or the similarity of preferences among multiple users by analyzing the ratings of different users on different items or the ratings of different users on the same item, and combining other factors, so as to provide users with Good referral service. [0003] However, with the rapid development of the Internet and e-commerce in recent years, the number of users and the number of items have become very large numbers, and these two sets of huge numbers combine to form a larger user-item rating matrix. However, because each The items that a user can access are limited, and only a small number of items ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/30
CPCG06Q10/04G06F16/9535
Inventor 许丽星
Owner HISENSE
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