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Recommendation method and system based on object

A recommendation method and recommendation system technology, applied in the field of item-based recommendation methods and systems, can solve problems such as low computational efficiency, high computational complexity, and unbalanced load of hot items, so as to improve accuracy, reduce complexity, and solve problems. Effects of load imbalance problems

Active Publication Date: 2014-04-02
NEUSOFT CORP
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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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  • Recommendation method and system based on object
  • Recommendation method and system based on object

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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] Such as 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 coef...

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Abstract

The invention provides a recommendation method and system based on an object. The method comprises the following steps of obtaining the object pair of an evaluated object by a user historical evaluation; according to the evaluation value to the object pair by the user, obtaining the relevant coefficient of the object pair, and caching; according to the relevant coefficient of the cached object pair, obtaining the relevant object set of all evaluated objects of the user; carrying out data block segmentation to all evaluated objects of the user, and carrying out parallel processing to the segmented data block; carrying out linear prediction to the evaluation value of all evaluated objects of the user to obtain the prediction values of objects in a non-evaluated object set; combining all prediction values to obtain the final prediction values of the objects in the non-evaluated object set; and according to the final prediction value, recommending a non-evaluated object to the user. According to the invention, the accuracy problem based on an object recommendation algorithm can be solved, and the calculation efficiency is improved.

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 Applications(China)
IPC IPC(8): G06Q30/02
Inventor 赵影张霞赵立军任英杰
Owner NEUSOFT CORP
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