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Item-based recommendation method and system

A recommendation method and item technology, applied in the field of item-based recommendation methods and systems, can solve the problems of high computational complexity, unbalanced load of hot items, low computational efficiency, etc., to reduce complexity, solve the problem of load imbalance, The effect of improving accuracy

Active Publication Date: 2017-10-31
NEUSOFT CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0026] In view of the above problems, the purpose of the present invention is to provide an item-based recommendation method and system to solve the problems of high computational complexity, unbalanced load of hot items, and low computational efficiency in current item-based recommendation methods.

Method used

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  • Item-based recommendation method and system
  • Item-based recommendation method and system

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Embodiment Construction

[0062] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0063] figure 2 The flowchart of the item-based recommendation method according to the embodiment of the present invention is shown.

[0064] like figure 2 As shown, the item-based recommendation method provided by the present invention includes:

[0065] S210: Obtain a user's evaluated items, generate a user's evaluated item set, and then take any two items from the user's evaluated item set to form an item pair;

[0066] Specifically, among the evaluated items of all users, one of the user's evaluated items is randomly selected, and the user's evaluated item set is generated according to all the user's evaluated items.

[0067] S220: According to the evaluation values ​​of all users on the item pairs obtained in the previous step, perform linear fitting on the items in the item pairs respectively, so as to obtain the correlation coeffic...

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Abstract

The present invention provides an item-based recommendation method and system, wherein the method includes: obtaining the item pair of the evaluated item through user historical evaluation; obtaining the correlation coefficient of the item pair according to the evaluation values ​​of all users on the item pair and caching; According to the correlation coefficient of the cached item pairs, obtain the collection of related items of all items that have been evaluated by the user; and divide all the items that have been evaluated by the user into data blocks, and perform parallel processing on the divided data blocks; by The evaluation values ​​of all users' evaluated items are linearly predicted to obtain the predicted values ​​of the items in the un-evaluated item set, and all the predicted values ​​are combined to obtain the final predicted value of the items in the un-evaluated item set; according to the final predicted value, the Unrated items are recommended to users. The invention can solve the accuracy problem based on the item recommendation algorithm and improve the calculation efficiency.

Description

technical field [0001] The present invention relates to the technical field of item-based recommendation, and more specifically, to an item-based recommendation method and system. Background technique [0002] With the continuous expansion of the scale of e-commerce and the rapid growth of the number and types of commodities, customers often need to spend a lot of time to find the commodities they want to buy. This process of browsing a large amount of irrelevant information and products will undoubtedly lead to the continuous loss of consumers who are submerged in the problem of information overload. [0003] Personalized recommendation is a recommendation method that recommends information and products that users are interested in based on the user's interest characteristics and purchase behavior. Information, such as videos, books, music, merchandise, news, etc., has largely solved various problems caused by "information overload" and "information loss". When the accura...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
Inventor 赵影张霞赵立军任英杰
Owner NEUSOFT CORP