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A personalized information recommendation method and apparatus

An information recommendation and multi-dimensional attribute technology, applied in the field of information processing, can solve problems such as insufficient comprehensiveness, coarse granularity, ignoring commodity and store feature mining and image information construction, etc., to achieve the effect of good timeliness

Active Publication Date: 2019-02-19
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0003] However, in the portrait technology of the existing recommendation system, only the construction of user portraits is included, and the granularity is relatively coarse, not comprehensive enough, and the feature mining and portrait information construction of commodities and shops are ignored. Therefore, it is difficult to recommend products or shops. Difficult to get accurate results

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  • A personalized information recommendation method and apparatus
  • A personalized information recommendation method and apparatus
  • A personalized information recommendation method and apparatus

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Embodiment Construction

[0043] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention will be further described in detail through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0044] According to an embodiment of the present invention, a method for constructing portraits in a recommendation system is provided, which can construct a multi-dimensional label system from various aspects such as users, commodities, and shops, see figure 1 As shown, the method includes the following steps:

[0045] Step S110, acquiring data and performing preprocessing on the data.

[0046] The acquired data includes user behavior logs and social network data, among which, user behavior logs include information such as user ID, URL, source URL, IP, product or shop ID, s...

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Abstract

The present invention provides a personalized information recommendation method and apparatus. The method comprises the following steps of: collecting the multi-dimensional attribute characteristics of users, the multi-dimensional attribute characteristics of commodities and the multi-dimensional attribute characteristics of shops; Based on the obtained multi-dimensional attribute features of users, multi-dimensional attribute features of commodities and multi-dimensional attribute features of shops, the label information is extracted and the weights of labels are calculated to construct userportraits, commodity portraits and shop portraits. Based on the constructed user portrait, merchandise portrait or store portrait, the user is provided with recommendation information. The method of the invention can accurately and effectively provide personalized information recommendation for users.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a personalized information recommendation method and device. Background technique [0002] The recommendation system is based on the user's historical behavior data or item data, and through a certain algorithm, recommends items that meet the requirements for the user. When information is overloaded, the recommendation system predicts the interests and needs of users, helping users quickly find items of interest. Simply speaking, user portrait is to label the user's information. As a by-product of the recommendation system, user portrait can label the user, describe the user's social attributes, behavior habits and preference information, and solve the coldness of new users in the recommendation system. Start the problem and support the data foundation of the recommendation system. [0003] However, in the portrait technology of the existing recommendatio...

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/02
CPCG06Q30/0271
Inventor 张梦菲方金云韩聪
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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